Microsoft word - dissertation final draft 03022010.doc
The Acute Effects of
Pterocarpus Marsupium Supplementation on Insulin-Dependent
and Insulin-Independent Signaling Pathways at Rest, After an Oral Glucose Tolerance
Test and After Intense Exercise in Overweight Pre-Diabetic Females.
Brian Shelmadine, Ph.D.
Dissertation Chairpersons: Matthew B. Cooke, Ph.D. and Darryn S. Willoughby, Ph.D.
Increasing physical activity and modifying diet to incorporate more phytonutrients has
been suggested as a way to prevent the progression of insulin resistance (IR) into
cardiometabolic disease.
Pterocarpus Marsupium (PM), a phytonutrient compound
shown to improve hyperglycemia, could potentially improve IR. The primary purpose of
this study was to examine the effects of PM on insulin sensitivity and blood lipids in
overweight and obese, sedentary women classified as prediabetic. Further, to examine
the effects of acute ingestion of PM on insulin- and exercise-mediated glucose disposal
following an oral glucose tolerance test (OGTT) and aerobic exercise bout, and to
understand the mechanisms by which PM supplementation may affect specific muscle
gene expression.
A double-blind, randomized, placebo controlled study was conducted.
Participants consumed 250 mg of either PM (n=8) or placebo (PL, n=8) twice daily for 6
days. Blood and muscle samples were obtained prior to supplementation, prior to and
following OGTT, and prior to and following an exercise bout. Following OGTT, plasma
glucose levels were higher at 30 minutes (p<0.001) and 1 hour post-OGTT (p=0.001) in
both PM and PL groups. Similarly, plasma insulin levels were higher 30 minutes
(p=0.023), 1 hour (p=0.023), and 2 hours post-OGTT (p=0.003) in both PM and PL
groups. Additionally, serum glucose levels decreased from 30 minutes to 1 hour
postexercise (p = 0.011), and from 30 minutes to 2 hours postexercise (p
= 0.013) in both
PM and PL groups. A significant increase in mRNA expression of Akt2 (p = 0.001),
AMPK (p = 0.001), AS160 (p = 0.02), and PPARα (p = 0.025) was observed one hour
after OGTT. The findings suggest that 250 mg of PM twice daily does not improve
insulin sensitivity or fasting lipid levels in this population. However, this is the first
study to report the novel finding of an increase in skeletal muscle mRNA expression of
Akt2, AMPK, AS160, and PPARα in response to an OGTT. The observed increase, and
subsequent decrease, in serum glucose levels after brief, maximal exertion exercise was
The Acute Effects of
Pterocarpus Marsupium Supplementation on Insulin-Dependent
and Insulin-Independent Signaling Pathways at Rest, After an Oral Glucose Tolerance
Test and After Intense Exercise in Overweight Pre-Diabetic Females.
Brian Shelmadine, B.S., M.A., Ph.D.
Approved by the Department of Health, Human Performance, and Recreation
Rafer Lutz, Ph.D., Chairperson
Submitted to the Graduate Faculty of
Baylor University in Partial Fulfillment of the
Requirements for the Degree
Doctor of Philosophy
Approved by the Dissertation Committee
Matthew B. Cooke, Ph.D., Co-Chairperson
Darryn S. Willoughby, Ph.D., Co-Chairperson
Rodney G. Bowden, Ph.D.
Brian C. Leutholtz, Ph.D.
Sang-Chul Nam, Ph.D.
Accepted by the Graduate School
Page bearing signatures is kept on file in the Graduate School.
Copyright 2010 by Brian Shelmadine
All rights reserved
TABLE OF CONTENTS
LIST OF FIGURES vi LIST OF TABLES
LIST OF ABBREVIATIONS
ACKNOWLEDGMENTS x
Purposes of the Study
Hypotheses
Limitations
14
Definition of Key Terms
Literature Review
Overview of Glycemic Control
Mechanisms of Insulin-dependent Glucose Uptake
Overview of Insulin Resistance
21
Proposed Deficiencies in Insulin Signal Transduction
Mechanisms of Insulin-independent Glucose Uptake
Effects of Exercise on Insulin Sensitivity
Pharmocalogicial Intervention of IR
Pterocarpus Marsupium
Specific Extracts of PM
Comparison of Resveratrol and Pterostilbene
Applied Studies Involving Pterostilbene Administration
The Effects of Pterostilbene on IR and Factors of Metabolic Syndrome
Participants
Independent and Dependent Variables
General Study Overview
Familiarization and Initial Glucose Screening
Baseline Testing Session/Pre-Supplementation (Day 1-T1)
Supplementation
Oral Glucose Tolerance Test (Second Testing Session – T2)
Quantification of Insulin Resistance
Acute Exercise Bout (Testing Session 3 – T3)
Muscle Biopsy Sampling
Assessment of Hemodynamic Safety Markers
Venous Blood Sampling
Serum Analysis
Assessment of Metabolic Gene Expression
Oligonucleotide Primers for PCR
Real-Time PCR Amplification
Qualitative Gene Expression: Gel Electrophoresis Imaging
Reported Side Effects from Supplementation
Statistical Analysis
Participants
Supplement Compliance
Dietary Analysis
Reported Side Effects and Clinical Chemistry Markers
Blood Variable Analysis
Baseline Glucose and Insulin Levels
Baseline Serum Lipid Levels
Assessment of Blood Glucose and Insulin at T2 (OGTT)
Analysis of Matsuda's Insulin Sensitivity Index (OGTTISI)
Assessment of Serum Glucose Levels at T3 (GXT)
Analysis of Muscle-Specific Genes
mRNA Expression of Muscle-Specific Genes
Muscle-Specific Gene Expression at T2 (OGTT)
Muscle-Specific Gene Expression for T3 (GXT)
Assessment of Glucose Pathology
Acute Effects of PM Supplementation of Blood Lipid Profiles and IR
78
Acute Effects of PM Supplementation on Insulin-mediated Glucose Disposal
80 Acute Effects of PM Supplementation on Exercise-Mediate Glucose Disposal
84 Study Implications and Future Research Needs
Conclusions
Biguanide Structure
Qualitative Gene Expression
Change in Serum Glucose and Insulin Across Baselines
Changes in Glucose and Insulin at T2
Changes in Serum Glucose at T3
Treatment Timeline
Modified Balke Protocol
Oliginucleotide Primers used for RT-PCR
Study Participant Demographics
Comparison of Nutritional Intake Variables between
PL and PM Groups
Baseline Comparison of Serum Clinical Chemistry Variables
between PL and PM Groups over the Course of the Study
Baseline Comparisons of Serum Glucose, Insulin, and
HOMA-IR between PL and PM Groups over the Course of the Study
Comparisons of Serum Lipid Levels between PL and PM
Groups over the Course of the Study
Baseline Comparisons of Muscle mRNA Expression of Genes
between PL and PM Groups over the Course of the Study
Comparisons of Muscle mRNA Expression of Genes between
PL and PM Groups prior to, and following, OGTT
Comparisons of Muscle mRNA Expression of Genes between
PL and PM Groups prior to, and one-hour following, GXT
LIST OF ABBREVIATIONS
4E-BP1 - eukaryotic initiation factor 4E binding protein 1
AKT – protein kinase B
BCAA – branched-chain amino acids
eIF – eukaryotic initiation factor
GDP – guanine diphosphate
GLUT4 – glucose transporter 4
GTP – guanine triphosphate
IGF-1 – insulin-like growth factor-1
IRS-1 – insulin receptor substrate-1
mg – milligram
mL – milliliter
mM – millimolar
mRNA – messenger ribonucleic acid
mTOR – mammalian target of rapamycin
P70-S6K - P70 Ribosomal Protein S6 Kinase
PI-3 kinase – phosphotidylinositol 3-kinase
RDA – recommended dietary allowance
RP S6 – ribosomal protein S6
RPE – rating of perceived exertion
Thr – threonine
tRNA – transfer ribonucleic acid
U – units or international units
VO2 max – maximal oxygen uptake
μL – microliter
I would like to start by thanking the person that has sacrificed the most to help me
finish this dissertation. Thank you, Ivy, for being there for me throughout my entire
graduate school education. Thank you for your patience, your love, and your unending
support. You are truly amazing. I am sorry for what this process has cost you; cost us.
To my parents, Lannie and Karen Shelmadine, I hope you know how much you have
meant. You taught me the importance of education and have encouraged me to pursue all
of my goals. You too, have sacrificed too much. I hope you know how much I love and
I would also like to thank my peers as well as the undergraduate volunteers that
helped gather data: Jen Moreillon, Erika Deike, Joe Genovese, Ashley Thomas, and
Brittany Witt, to name a few. To my friend Thomas Buford, thanks for the help in the
biochemistry lab and all of the other help for which there is not enough space here to list.
Special thanks go to my research partner in this endeavor, Geoffrey "G-Funk" Hudson.
Thanks, G, for the help with designing, planning, and carrying out this study. It was a joy
to work with you.
I would like to acknowledge the faculty involved in this study, without whom,
this study could not have been carried out. Although, not a committee member, I would
like to thank Dr. Mike Greenwood for his financial contribution and continued supported
of this study. To the non-chair committee members, Dr. Rodney Bowden and Dr. Brian
Leutholtz, thank you for serving on my dissertation committee. Your time and input was
greatly appreciated. To Dr. Sang-Chul Nam, the outside committee member, thank you
for helping out during my defense on such short notice. You have no idea how much
your presence was appreciated.
To the original outside committee member, Dr. A. Alex Beaujean, thank you for
all of your help. From the help designing the study, from a statistical standpoint, right up
until my defense, you went above and beyond what is required of an outside committee
member. The insight and suggestions you provided were far more than I expected.
To the co-chairs of my dissertation, I appreciate all of the guidance you both
provided, not only during my dissertation but during my entire doctoral education.
Thank you both for providing extra funding, too. To Dr. Darryn Willoughby, thank you
for being so generous with your time, especially when it came down to teaching in the
biochemistry lab. I know that any time spent teaching me meant time away from the
family you love. Forgive me for asking so much of you, but thank you for being willing
to give so much. To Dr. Matthew Cooke, thank you, sir, for essentially living at the
school. Your constant presence, your willingness to trouble shoot, your willingness to
listen to my ideas, and your demeanor made this entire process an extremely valuable
Insulin resistance (IR) is a defect in the transportation of glucose into a cell where
the tissue becomes resistant to the effects of normal circulating levels of insulin. Insulin
resistance is viewed as part of a cluster of cardiovascular and diabetic (cardiometabolic)
risk factors termed Metabolic Syndrome (MetS). Traditionally, MetS also includes
hypertension, visceral adiposity, atherosclerotic dyslipidemia, and a prothrombotic and
proinflammatory state (Grundy et al., 2005). However, MetS is recently being perceived
as a cluster of risk factors linked to IR instead of a cluster of risk factors including IR.
Preliminary reports for 2007 show that cardiometabolic disease accounts for three
of the top seven leading causes of death in the United States (Xu, Kochanek, & Tejada-
Vera, 2009). The most common cardiovascular diseases, heart disease and stroke,
account for greater than 35% of all deaths in the United states, while diabetes mellitus, a
chronic disease resulting in increased concentration of glucose in the blood, is the seventh
leading cause of death (Xu et al., 2009). The prevalence of diabetes mellitus has tripled
over the past 25 years (Xu et al., 2009). It is currently estimated that, 23.6 million
Americans suffered from diabetes mellitus (U.S. Department of Health and Human
Services [USDHHS], 2009). The majority of diabetics are Type II diabetics (non-insulin
dependent) that cannot effectively utilize circulating levels of glucose mainly due to
peripheral IR. The Center for Disease Control expects the incidence of diabetes mellitus
to double by 2050, with the largest increase occurring in Type II diabetics (USDHHS,
Given the link between MetS and IR, it is imperative that people with MetS find
ways to reduce risk factors associated with cardiometabolic diseases. Lifestyle change is
the first-line of defense against the further progression of such cardiometabolic risk
factors progressing into chronic diseases such as Type II diabetes or possible
complications such as myocardial infarction or stroke. Of particular importance is
decreasing fat mass, increasing physical activity, and modifying diet to an anti-
atherogenic type diet (National Cholesterol Education Program (NCEP) Expert Panel on
Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult
Treatment Panel III [NCEP], 2002).
The NCEP (2002) recommends increasing physical activity for persons with
MetS, but fails to provide recommendations for exercise intensities and/or modalities.
Research demonstrates that exercise at higher aerobic intensities (70 – 85% VO2max ) are
effective at improving cholesterol and lipid levels (King, Haskell, Young, Oka, &
Stefanick, 1995). Further, a recent review showed that high intensity interval training
(90-95% peak heart rate) not only improves maximum oxygen uptake, but increases
cardiomyocyte calcium handling (Wilsoloff, Ellingsen, & Kemi, 2009).
Notably, aerobic exercise at similar high intensities (Okura et al., 2007; Short et
al., 2003; Winnick et al., 2007) has also been shown to improve insulin sensitivity in
subjects with insulin resistance. Though previous research has established that muscle
contraction itself can stimulate glucose uptake within the cell; specific intracellular
mechanisms involved in the translocation of the glucose transporter-4 (GLUT4) have
only been recently been identified (Abbott, Edelman, & Turcotte, 2009; Holloszy, 2005;
Sakamoto & Holman, 2008; Winder, Taylor, & Thomson, 2006). Adenosine
monophospate protein activated kinase (AMPK) is nutrient sensitive and is activated with
a change in the ratios of AMP:ATP and Cr:PCr during exercise. Activation of AMPK
(Fisher, Gao, Han, Holloszy, & Nolte, 2002; Jessen et al., 2003) has been shown to
increase glucose uptake via insulin-independent mechanisms. Continued long-term
exercise increases the expression of various proteins important in the insulin signaling
cascade, such as Akt (Christ-Roberts et al., 2004) and a 160 kd substrate of Akt (AS160)
(Sriwijitkamol et al., 2007), which, when phosphorylated, leads to GLUT4 translocation
to the plasma membrane, thus ensuring glucose uptake. In addition to exercise-induced
glucose uptake, insulin can itself cause glucose uptake within the cell via insulin
dependent mechanisms. Insulin has to bind to an insulin receptor, activating the
phosphorylation of phosphatidylinositol 3 kinase (PI3K), which phosphorylates the
membrane bound phospholipid phosphatidylinositol 4,5-bisphospate (PIP2) to make
phosphatidylinositol 3,4,5-triphospate (PIP3). Phosphorylation of PIP2 to yield PIP3
results in a lipid-binding site for serine/threonine kinase Akt via protein kinase D (PKD)
activation (Sesti, 2006). The protein Akt then phosphorylates AS160, which then allows
for GLUT4 translocation (Ramm, Larance, Guihaus, & James, 2006). It is clear that
glucose uptake can be mediated by 2 pathways independent (exercise-mediated) or
dependent (insulin-mediated) of insulin.
In addition to the aforementioned pathways, exercise can also induce changes in
expression of metabolic genes such as the peroxisome proliferator-activated receptors
(PPARs) and peroxisome proliferator-activated receptor co-coactivators (PGCs) (Short et
al., 2003; Spangenburg, Brown, Johnson, & Moore, 2009) These genes are intimately,
but also redundantly involved in the regulation of substrate utilization and mitochondrial
biogenesis. Peroxisomes are membrane bound organelles, found in all Eukaryotes. One
major function of the peroxisome is to break down fatty acids (FA) in a process called β-
oxidation (Tabak, Braakman, & Distel, 1999). In mammals the peroxisome is not the
only place where β-oxidation occurs, as it also occurs in the mitochondria. Peroxisomes
break down fatty acids that are otherwise too long for the mitochondria (Tabak et al.,
1999). By way of degradation, once a FA is short enough it can be transported to the
mitochondria where it is further degraded and used as a fuel source (van den Bosch,
Schutgens, Wanders, & Tager, 1992). The three PPAR isoforms, -α, -β/δ, and -γ are
members of the steroid/thyroid superfamily of nuclear receptors (Mojotima, 1993) that
overlap in function and are distributed differently according to tissue type. PPARα and
PPARβ/δ are predominantly found in skeletal muscle and have important roles in
regulating FA catabolism (Gilde, 2003), while PPARγ is found primarily in adipose
tissue and is partly responsible for controlling adipo- and lipogenesis (Muoio & Koves,
2007). The PPAR co-activator PGC-1α regulates many genes involved in FA catabolism
via co-activation of the PPARs (Vega, Huss, & Kelley, 2000). Continued aerobic
exercise and some PPAR agonists induce skeletal muscle fiber type switching to that of a
slow a twitch fiber better suited to catabolize FA (De Souza, Cornwell, Dai, Caguyong, &
Ulrich, 2006; Russell et al., 2003).
People that are IR exhibit metabolic inflexibility where they do not correctly
utilize glucose or FA (Novo et al., 2008). Under normal postprandrial conditions,
triglyceride (TG) lipolysis is suppressed, which decreases the amount of free fatty acids
(FFA) in circulation (Novo et al., 2008). Consequently, there is an excess of FFA that
can decrease insulin sensitivity in skeletal muscle (Ginsberg, 2003). Increased levels of
circulating TG can also accelerate hepatic gluconeogenesis (Vitarius, 2005). Thus, any
means, such as exercise, that can increase activation of the PPARs and PGCs, increase
mitochondrial and peroxisome biogenesis, and increase utilization of FFA may improve
IR and associated risk of cardiometabolic disease.
To help prevent further advancement of IR into chronic cardiometabolic disease,
people are also encouraged to eat a diet that incorporates a lower percentage of total
calories from fat, reduces dietary trans fat and cholesterol, and incorporates a greater
percentage of plant stanols, sterols and soluble fiber (NCEP, 2002). Stanols and sterols
are structurally similar to cholesterol in animals, function in a similar fashion in plant cell
membranes (Katan MB, 2003), and are considered phytonutrients (Bland, 1996).
Recently, several phytonutrients have been purported to help improve glucose disposal
and/or hyperlipidemia (Bhathena & Velasquez, 2002; Bland, 1996; de Kleijn, van der
Schouw, Wilson, Grobbee, & Jacques, 2002; Manickam, Ramanathan, Farboodniay
Jahromi, Chansoria, & Ray, 1997). Unfortunately, a large portion of the population does
not meet the recommended daily consumption of fruits and vegetables (Casagrande,
Wang, Anderson, & Gary, 2007). Furthermore, the amounts of plant sources needed to
meet the recommended levels of phytonutrients are difficult to achieve. Thus, any means
to improve dietary consumption of phytonutrients that may help improve one or more of
the cardiovascular risk factors of MetS is clearly warranted.
One commercially available product containing several potential beneficial
phytonutrient compounds is
Pterocarpus marsupium (PM)
extract.
Pterocarpus
marsupium and isolated compounds from PM, such as pterostilbene, have been
demonstrated to be hypolipidemic (Rimando, Nagmani, Feller, & Yokoyama, 2005), anti-
oxidant (Remsberg et al., 2008), anti-inflammatory (Remsberg et al., 2008), and can up-
regulate glucose transport (Anandharajan, Pathmanathan, Shankernarayanan,
Vishwakarma, & Balakrishnan, 2005; Manickam et al., 1997). Several compounds
characterize extracts of PM, but the most potent effects have been attributed to a
compound called pterostilbene. Pterostilbene (
trans-3,5-dimethoxy-4′-hydroxystilbene)
is a polyphenolic phytoestrogen found in high concentrations in red wine and a variety of
plant sources such as grape skin, berries, and pomegranates. Pterostilbene is also found
in many plants, and used to treat diabetes and inflammatory diseases in many Eastern
medical practices.
Pterocarpus marsupium is commonly used in Ayurvedic medicine and has been
compared to drugs often prescribed to treat diabetes, such as Metformin, which is mainly
an antihyperglymemic drug. The exact mechanism for how metformin works is unkown.
However, it does suppress hepatic gluconeogenesis (Kirpichnikov, McFarlane, & Sowers,
2002; Radziuk, Zhang, Wiernsperger, & Pye, 1997), and may increase insulin sensitivity
via AMPK stimulation in myocytes and adipocytes (Suwa, Egashira, Nakano, Sasaki, &
Kumagai, 2006). The benefit to increasing insulin sensitivity is obvious, as the peripheral
tissue, such as skeletal muscle, in people with IR are resistant to the effects of insulin.
Less obvious, perhaps, is the benefit to a decrease in hepatic glucose production.
Increased hepatic gluconeogenesis is mainly responsible for fasting hyperglycemia in a
diabetic population (De Fronzo, Bonadonna, & Ferannini, 1992). Therefore, it would be
beneficial to reduce hepatic gluconeogenesis in this population.
Studies have also compared PM to Rosiglitizone, which belongs to a family of
drugs called thiazolidinediones (TZD) (Anandharajan et al., 2005). It is believed TZDs
increase insulin sensitivity in skeletal muscle, suppress hepatic glucose production, and
activate AMPK (Ye et al., 2006). Thiazolidinediones also target PPARs in order to
improve insulin sensitivity, with PPARγ being the primary target (Moller & Greene,
2001). The effects of TZDs on PPARγ are thought to occur primarily in adipocytes by
increasing lipogenesis, decreasing circulating levels of free fatty acids (FFA), and
decreasing inflammatory cytokines (Gervois, Fruchart, & Staels, 2007), but TZDs may
also may exert their insulin-sensitizing effects on PPARγ in muscle (Norris et al., 2008).
Not surprisingly, PM
, as well as the chief active ingredient pterostilbene, has been shown
to effectively activate PPARs in a similar manner to that of TZDs and fibrates
(Anandharajan et al., 2005; Mizuno et al., 2008; Rimando et al., 2005). The fibrates are a
class of drugs used to effectively lower lipid levels via activation of PPARα. A study of
a fibrate, known to be a PPARα agonist, in hampsters resulted in improved TG levels,
and also increased peroxisomal and mitochondrial increased β-oxidation (Minnich, Tian,
Byan, & Bilder, 2001).
Purposes of the Study
People with IR are at an elevated risk for cardiometabolic disease. Therefore, any
method that could improve insulin sensitivity and the metabolic inflexibility of IR
warrants further study. Diet and exercise are typically the first line of defense for
attenuating the effects of IR, but many people fail to meet current diet and exercise
guidelines (Casagrande et al., 2007). As such, phytonutrient dietary supplementation
may have a positive impact on characteristics of the IR and MetS.
Pterocarpus
marsupium has been used for centuries in Ayurvedic medicine to treat hypoglycemia and
dyslipidemia, and the extract of PM is also used in products available over the counter at
health food stores in the United States. Since PM is commonly used in Ayurvedic
medicine, is commercially available and its mechanisms of action are thought to be
similar to drugs taken by people with diagnosed IR; this extract was used in the current
The purpose of this study was four-fold. First, this study sought to examine the
effects of a short-term (6 day) PM supplementation on insulin sensitivity and blood lipid
profiles of overweight and obese, pre-diabetic, sedentary women. Secondly, this study
sought to determine if an acute (5 day) ingestion of PM would enhance insulin-mediated
glucose disposal up to 2 hours following an OGTT. Third, the study sought to determine
if an acute ingestion (6 day) of PM would enhance exercise-mediated glucose disposal up
to 2 hours following an aerobic exercise bout. Fourth, to understand the mechanisms by
which PM supplementation elicits its effects within the muscle genes involved in insulin
signaling and glucose metabolism were examined.
Hypotheses
Based on the purposes of the study, the following hypotheses have been
formulated. To facilitate better understanding of which hypotheses relate to which
purpose, the hypotheses have been separated into the categories: fasting glucose and
insulin, OGTT glucose and insulin, GXT glucose, fasting lipid, fasting skeletal muscle
mRNA expression, OGTT skeletal muscle mRNA expression, and GXT skeletal muscle
mRNA expression.
Fasting Glucose and Insulin
H1: Serum levels of fasting glucose will decrease further in the
Pterocarpus marsupium
group compared to the placebo group over the course of the study.
H2: Serum levels of fasting insulin will decrease further in the
Pterocarpus marsupium
group compared to the placebo group over the course of the study.
H3: Measures of insulin resistance (HOMA-IR) will be lower in the
Pterocarpus
marsupium group compared to the placebo group over the course of the study.
OGTT Glucose and Insulin
H4:
Pterocarpus marsupium group will display lower increases in overall serum glucose
levels compared to placebo group during the oral glucose tolerance test (OGTT).
H5:
Pterocarpus marsupium group will display lower increases in overall serum insulin
levels compared to placebo group during the oral glucose tolerance test (OGTT).
H6: The measure of insulin sensitivity (OGTTISI) will be higher for the
Pterocarpus
marsupium group compared to placebo group during the oral glucose tolerance test
GXT Glucose
H7:
Pterocarpus marsupium group will display smaller increases in serum glucose levels
compared to the placebo group following the graded exercise test (GXT).
Fasting Lipid
H8: Serum levels of fasting HDL levels will increase to a greater extent in the
Pterocarpus marsupium group compared to the placebo group over the course of the
H9: Serum levels of fasting LDL levels will decrease to a greater extent in the
Pterocarpus marsupium group compared to the placebo group over the course of the
H10: Serum levels of fasting total cholesterol levels will decrease to a greater extent in the
Pterocarpus marsupium group compared to the placebo group over the course of the
H11: Serum levels of fasting triglyceride levels will decrease to a greater extent in the
Pterocarpus marsupium group compared to the placebo group over the course of the
Fasting Skeletal Muscle mRNA Expression
H12: Skeletal muscle gene expression of AMPK mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group over the course of the study.
H13: Skeletal muscle gene expression of Akt2 mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group over the course of the study.
H14: Skeletal muscle gene expression of AS160 mRNA will be greater in the
Pterocarpus marsupium group compared to the placebo group over the course of the
H15: Skeletal muscle gene expression of PPARα mRNA will be greater in the
Pterocarpus marsupium group compared to the placebo group over the course of the
H16: Skeletal muscle gene expression of PPARγ mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group over the course of the study.
H17: Skeletal muscle gene expression of PGC-1α mRNA will be greater in the
Pterocarpus marsupium group compared to the placebo group over the course of the
OGTT Skeletal Muscle mRNA Expression
H18: Skeletal muscle gene expression of AMPK mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the oral glucose tolerance test
H19: Skeletal muscle gene expression of Akt2 mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the oral glucose tolerance test
H20: Skeletal muscle gene expression of AS160 mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the oral glucose tolerance test
H21: Skeletal muscle gene expression of PPARα mRNA will be greater in the
Pterocarpus marsupium group compared to the placebo group following the oral glucose
tolerance test (OGTT).
H22: Skeletal muscle gene expression of PPARγ mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the oral glucose tolerance test
H23: Skeletal muscle gene expression of PGC1α mRNAα will be greater in the
Pterocarpus marsupium group compared to the placebo group following the oral glucose
tolerance test (OGTT).
GXT Skeletal Muscle mRNA Expression
H24: Skeletal muscle gene expression of AMPK mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the grade exercise test
H25: Skeletal muscle gene expression of Akt2 mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the graded exercise test
H26: Skeletal muscle gene expression of AS160 mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the graded exercise test
H27: Skeletal muscle gene expression of PPARα mRNA will be greater in the
Pterocarpus marsupium group compared to the placebo group following the graded
exercise test (GXT).
H28: Skeletal muscle gene expression of PPARγ mRNA will be greater in the
Pterocarpus
marsupium group compared to the placebo group following the graded exercise test
H29: Skeletal muscle gene expression of PGC1 mRNAα will be greater in the
Pterocarpus marsupium group compared to the placebo group following the graded
exercise test (GXT).
Delimitations
This study was completed with the following delimitations, limitations, and assumptions:
1) Sixteen, overweight or obese, sedentary pre-diabetic women (18-35 y)
participated in this study.
2) Participants were recruited from the general population of Waco, TX, and student
population at Baylor University by flyers posted throughout campus and through
newspaper advertisements.
3) Muscle biopsies from the lateral thigh were collected during the pre-
supplementation testing session; collected prior to the OGTT, 30 minutes post-
OGTT, 1 hour post-OGTT, and 2 hours post-OGTT during the second testing
session; and collected prior to the GXT, 30 minutes post-GXT, 1 hour post-GXT,
and 2 hours post-GXT during the third testing session.
4) Venous blood were collected during the pre-supplementation testing session; prior
to the OGTT, 30 minutes post-OGTT, 1 hour post-OGTT, and 2 hours post-
OGTT during the second testing session; and collected prior to the GXT, 30
minutes post-GXT, 1 hour post-GXT, and 2 hours post-GXT during the third
testing session.
5) Participants completed an OGTT during the second testing session and a GXT
during the third testing session.
6) Participants were randomly assigned to one of two supplement groups:
Pterocarpus marsupium or placebo.
7) All participants in the study did not participate in any other forms of vigorous
exercise during the duration of the study and did not modify their nutritional
intake in any manner.
8) All testing was done in the Exercise and Biochemical Nutrition Lab and Exercise
and Sport Nutrition Lab at Baylor University in the Marrs-McLean Gym
according to all policies and procedures within each respective laboratory.
Limitations
1) The sample size was limited to those who came forward to participate in the
study, which limited the scope of conclusions that could be inferred to a larger
2) The motivation and willingness of each participant to maximally exert themselves
during the third testing session during the GXT.
3) The sensitivity of the technologies and protocols utilized to identify quantifiable
changes in the criterion variables.
4) The daily schedules of each participant and the inherent circadian rhythms that
exist for all humans as a result of slightly different testing times, stresses, etc.
5) The ability of the homeostasis model assessment (HOMA-IR) index of insulin
resistance and Matsuda insulin resistance index to accurately estimate insulin
Assumptions
1) Participants fasted for 8 - 12 hours prior to reporting for each testing session.
2) Participants presented as pre-diabetic yet did not have contraindications to any of
the prescribed treatments involved with this protocol.
3) Participants were sedentary.
4) All participants followed all instructions throughout the familiarization session,
the OGTT testing session, the GXT, and maximally exerted themselves during the
5) All assay reagents and equipment used in the sample analysis was accurate and
reliable in quantification of the criterion variables.
6) All methods were previously established and were accurate and reliable methods
for determination of the criterion variables.
Definition of Key Terms
1) AMPK –AMP activated protein kinase is an energy sensitive kinase activated by
in low-energy states.
2) Akt – This protein is also known as protein kinase B (PKB) and is a downstream
target of IRS-1. Akt is a key protein in cell signaling and specifically has the
ability to phosphorylate serine 2448 on mTOR.
3) AS160 – AS160 is a substrate of Akt necessary for the translocation of GLUT4.
4) Eukaryotic initiation factors (eIF) – A special set of proteins that help regulate
translation initiation.
5) Eukaryotic initiation factor 4E (eIF4E) – A key protein in the Akt-mTOR signal
transduction pathway. When eIF4E is activated, it can bind to eIF4G and help
facilitate translation initiation. Eukaryotic initiation factor 4E binding protein
(4E-BP1) regulates the activity of this protein.
6) Eukaryotic initiation factor 4E binding protein 1 (4E-BP1) – This protein is a key
factor in the Akt-mTOR signal transduction pathway. When hypophosphorylated,
it binds eIF4E and prevents it from combing with eIF4G. This ultimately inhibits
translation initiation. However, when it becomes hyperphosphorylated, most
likely via mTOR, it does not bind eIF4E and allows translation initiation to ensue.
7) Eukaryotic initiation factor 4F complex (eIF4F) – A combination of three
eukaryotic initiation factors that include eIF4A, eIF4G, and eIF4E. The complete
eIF4F complex helps regulate the binding of mRNA to the 40S ribosomal subunit.
8) Eukaryotic initiation factor 4G (eIF4G) – One of the three eukaryotic initiation
factors that comprise the eIF4F complex. Eukaryotic initiation factor 4G serves
as a docking protein for eIF4A and eIF4E. When the complete eIF4F complex
comes together it promotes the binding of mRNA to the 40S ribosomal subunit
and ultimately translation initiation.
9) Insulin – An anabolic hormone that is released from the pancreas and when it
binds to its receptor, it instigates various metabolic processes and can activate the
proteins in the Akt-mTOR cell signaling pathway.
10) Insulin-like growth factor-1 (IGF-1) – A growth factor that has the ability to bind
to its receptor, and to a lesser affinity, the insulin receptor, and activate the
proteins in the Akt-mTOR cell-signaling pathway.
11) Insulin receptor substrate-1 (IRS-1) – A cytoplasmic protein that is stimulated by
insulin, insulin-like growth factor-1, and possibly growth hormone. IRS-1 has the
ability to bind to and activate (phosphorylate) Akt.
12) Mammalian Target of Rapamycin (mTOR) – Is a protein kinase that is involved
with cell signaling and plays a role in regulating translation initiation. It is
thought to be an activator of the downstream targets 4E-BP1 and P70-S6K.
13) Messenger RNA (mRNA) – The DNA of a gene is transcribed into mRNA. The
mRNA is carried to the ribosome and serves as a template for the synthesis of
polypeptides (proteins).
14) Phosphorylation – The process of adding a phosphate to a compound or protein
through an enzyme. Through the procedure of adding a phosphate, a
protein/enzyme can be activated or deactivated.
15) Protein degradation - Also known as protein breakdown and proteolysis. This is
the process of breaking down proteins into their individual amino acids. During
states of muscle atrophy, protein breakdown exceeds muscle protein synthesis.
16) Protein synthesis – The process of translating mRNA in protein as directed by the
genetic code. During states of muscle hypertrophy, protein synthesis exceeds
muscle protein breakdown.
17) Pterostilbene – This is a structural analog of resveratrol (
trans-3,5,4′-
trihyrdoxystilbene) which, naturally occurring in plants such as grapes,
blueberries, and peanuts.
18) P70 Ribosomal Protein S6 Kinase (also denoted as S6K1, P70-S6K, and p70S6K) –
This 70 kilodalton protein kinase is a key enzyme in the Akt-mTOR signal
transduction pathway. It is thought to be activated by mTOR and appears to
activate ribosomal protein S6.
19) Resveratrol – This is a naturally occurring polyphenol found in grapes, berries,
and Ayurvedic medicines.
20) Serine/threonine kinase – These kinases phosphorylate serines or threonine
kinases at the OH group of their side chains.
Literature Review
Overview of Glycemic Control
Insulin is an anabolic peptide hormone produced in the pancreatic β-cell in
response to increased glucose levels in plasma and is responsible for the uptake of
glucose, amino acids (AA), and fatty acids (FA) in adipose, skeletal, and liver tissues
(Young, 1963). Insulin is partially responsible for regulation of glucose homeostasis in
several tissues. It reduces hepatic glucose production by decreasing gluconeogenesis and
glycogenolysis and by increasing glucose uptake into peripheral tissues such as skeletal
muscle and adipose tissue (DeFronzo, 1988; Shulman, 2000).
Glucagon, on the other hand, is produced by the pancreatic alpha cell and
functions to raise plasma glucose levels when they get too low by increasing glycogen
and gluconeogenesis. Insulin and glucagon vary inversely with each other. A rise in
insulin is accompanied by a fall in glucagon. However, they both are released in order to
maintain glucose homeostasis. When there is an increase in plasma glucose following a
meal, there is a resultant increase in insulin and concomitant decrease in glucagon. When
plasma glucose levels fall below 50 mg/dl, glucagon is released (Benson, Johnson,
Palmer, Werner, & Ensinck, 1977). Insulin secretion is minimal or ceases when plasma
glucose levels reach 80-85 mg/dl. Insulin can be thought of as being dominant during
times of anabolism, where glucagon plays a role during times of catabolism. The
coordination of insulin and glucagon production is closely mediated as a protective
mechanism to ensure the body has adequate glucose to maintain activity levels and vital
functions.
Mechanisms of Insulin-dependent Glucose Uptake
Plasma insulin binds to its receptor triggering activation of phosphatidylinositol 3-
kinase (PI3K). PI3K phosphorylates the membrane bound phospholipid
phosphatidylinositol 4,5-bisphospate (PIP2) to make phosphatidylinositol 3,4,5-
triphospate (PIP3) Phosphorylation of PIP2 to get PIP3 results in a lipid-binding site for
serine/threonine kinase Akt. Akt is phosphorylated by protein kinase PKD-1 (Sesti,
2006). To regulate muscle hypertrophy, this cascade would result in the phosphorylation
of mTOR, 4EBP-1 and p70S6K, leading to increased translation in the same manner as
insulin-like growth factor-1 (IGF-1) activates the PI3K/Akt/mTOR pathway (Han, Tong,
Zhu, Ma, & Du, 2008; Latres et al., 2005). However, plasma insulin controls glucose
homeostasis via a slight variation in the aforementioned pathway. The insulin receptor is
comprised of four subunits. There are two α-peptide subunits where insulin binds, and
two β-peptide subunits that span the membrane (Karlsson & Zierath, 2007). Once insulin
binds to the insulin receptor, autophosphorylation of tyrosine kinase domains (TKD) on
the β-peptide subunits occurs. The TKD are docking sites for insulin receptor substrates
(IRS) that are downstream of the insulin receptor (Karlsson & Zierath, 2007).
Phosphorylation of IRS causes it to bind to and activate Src homology domains (SH2),
including the regulatory subunit of PI3K (p85) (Sesti, 2006).
Via insulin signaling, transport of glucose into the cell requires phosphorylation
of the regulatory subunit p85 of PI3K, which results in phosphorylation of PIP2 to make
PIP3 (Latres et al., 2005). An increase in PIP3 leads to activation of PDK, which will
activate the serine/threonine kinases Akt and the atypical protein kinase C (PKC) (Sesti,
2006). PKC is represented by two important isoforms known as PKCζ/λ. PKCζ/λ, which
has been shown to translocate from low-density microsomes to the plasma membrane in
conjunction with an increase in GLUT4 translocation and glucose uptake in L6 muscle
cells (Liu et al., 2006). The authors suggest that PKCζ mediates the effect of insulin on
glucose uptake via actin remodeling. PKCλ knockout mice were engineered and these
mice had a reduction of GLUT4 translocation, diminished glucose transport, and
developed insulin resistance (Farese et al., 2007). These studies suggest that atypical
PKCζ/λ plays a role in the translocation of GLUT4.
However, there appeared to be a missing link in the insulin-dependent
translocation of GLUT4. The above pathway steps were known, but it was not fully
understood how these steps lead to GLUT4 translocation. Recent literature has pointed to
a novel substrate of Akt (AS160) as a potential key to the missing link in the cascade
(Kane et al., 2002). In 3T3LI adipocytes, the phosphorylation of AS160 is required for
insulin-induced translocation of GLUT4 (Sano et al., 2003). The mRNA of Akt substrate
AS160 is highly prevalent in human skeletal and cardiac muscle in comparison to other
tissue (Matsumoto et al., 2004), and in rat skeletal muscle, has been shown to respond to
insulin in a dose-dependent manner (Bruss, Arias, Lienhard, & Cartee, 2005).
The activation of Akt by insulin results in phosphorylation of multiple
phosphomotifs on AS160, which is believed to either inhibit the activation of Rab-
GTPase proteins linked with GLUT4 vesicles or cause AS160 to dissociate from GLUT4
vesicles, or both (Cartee & Katsuhiko, 2009). Rab GTPase is a member of a superfamily
of small GTPases called Ras. Rab GTPases functions to regulate specific steps of
signaling pathways near plasma membranes and recruit specific effecter proteins to
membranes (Stenmark & Olkkonen, 2001). AS160 contains a Rab GTPase-activating
protein domain that plays an important role in insulin triggered GLUT4 translocation
(Kane et al., 2002; Sano et al., 2003). GLUT4 is sequestered in the cytosol and has to
translocate to plasma membrane to ferry glucose into the cell. It is believed that AS160
inhibits GLUT4 under basal conditions and insulin-dependent phosphorylation of AS160
by Akt reverses inhibition (Ramm et al., 2006). It has also been shown that AS160
partially binds directly to the GLUT4 vesicle and that insulin signaling releases AS160
into the cytosol (Larance et al., 2005).
Overview of Insulin Resistance
Glucose is transported into skeletal muscle and adipose cells via GLUT4 after
insulin has bound to its receptor (Birnbaum, 1989; Guma, Zierath, Wallberg-Henriksson,
& Klip, 1995). The binding of insulin to the insulin receptor sets off a cascade of events
culminating in the translocation of GLUT4 to the membrane surface to ferry glucose into
the cell for utilization. Liver, fat, and muscle tissue can develop a defect in the
transportation of glucose into the cell where tissue becomes resistant to the effects of
normal circulating levels of insulin, hence the term insulin resistance. Insulin resistance
plays a role in Type II diabetes, and is associated with other diseases such as polycystic
ovarian syndrome, obesity, and dyslipidemia.
Proposed Deficiencies in Insulin Signal Transduction
In order for tissue to be insulin resistant, there must be a defect in signal
transduction (as previously mentioned) resulting in translocation of GLUT4. In such a
complex pathway, there can be numerous points for the defect to take place, or the defect
could be a result of multiple sites of dysfunction (and to explore all of these possible
points is beyond the scope of this dissertation). One potential site is the insulin receptor
itself. Two different isoforms in the receptor are known with the difference in the two
resulting from alternative splicing at exon II (Sesti, 2006). Therefore, the isoforms are
known as Exon II+ and Exon II-. Exon II+ is associated with increased expression in
people with hyperglycemia and hyperinsulinemia (Norgren, Zierath, Wedell, Wallberg-
Henriksson, & Luthman, 1994; Sesti, 2006; Shier & Watt, 1989). Exon II- is known to
have a higher affinity for insulin than II+ and is a better activator of PI3K (Sesti, 2006).
Impaired phosphorylation of IRS and reduced phosphorylation of PI3K has been
observed in the skeletal muscle of obese individuals and non-obese subjects with Type II
(Brozinik Jr., Roberts, & Dohm, 2003; Goodyear et al., 1995; Kim, Nikoulina, Ciaraldi,
Henry, & Kahn, 1999). Defects in GLUT4 expression and function have also been
observed, contributing to impaired whole-body glucose uptake. GLUT4 content is
decreased in obese subjects with and without Type II, and in insulin resistant offspring in
patients with NIDDM (Sheperd & Khan, 1999).
Mechanisms of Insulin-independent Glucose Uptake
In the case of an exercising animal, the rise in glucagon and decrease in insulin is
partially due to the increase in insulin sensitivity resulting from contracting skeletal
muscle. In regards to exercise-induced insulin sensitivity, it was reported that hypoxia,
electrically stimulated muscle contractions, and acute bouts of exercise have been shown
to stimulate transport of glucose in the absence of insulin (Holloszy, 2005). Insulin and
muscle contraction both stimulate glucose transport into the cell, but do so via differing
mechanisms. Contraction stimulated uptake of glucose can be initiated by the release of
calcium from the sarcoplasmic reticulum (Finck et al., 2005). The release of calcium
activates calcium/calmodulin-dependent protein kinase found in skeletal muscle.
Glucose can also be transported into skeletal muscle cells by GLUT4 through activation
of the AMPK pathway. The AMPK pathway is nutrient sensitive and is activated with a
change in the AMP:ATP and Cr:PCr ratio during exercise. AMPK turns on catabolic
pathways that will generate ATP, while turning off those anabolic pathways that use ATP
(Towler & Hardie, 2007).
Activities such as exercise that increase metabolic stress and increase ATP
consumption will increase the AMP:ATP ratio (Towler & Hardie, 2007). This in turn
will activate AMPK. Consequently, exercise also causes Ca2+ to be released from the
sarcoplasmic reticulum. In recent years, it has been demonstrated that the release of
calcium and the stimulation of the calcium/calmodulin pathway can increase the activity
of AMPK (Towler & Hardie, 2007). AMPK is phosphorylated at Threonine172 (Thr172)
of the α-subunit by upstream kinase complexes of LKB1 tumor suppressor, STRAD, and
MO25 (Boudeau et al., 2004; Hawley et al., 2003; Marignani et al., 2007). Addition of
Ca2+ ionophores increases Thr172 phosphorylation and AMPK activity (Towler & Hardie,
2007). In some circumstances Thr172 is phosphorylated by upstream kinases
Ca2+/calmodulin-dependent protein kinase kinase (CAMKK) (Raney & Turcotte, 2008;
Shen, Zhu, Tong, Ren, & Du, 2007). Thus, any stressor that causes an increase in
cytoplasmic Ca2+ will cause an increase in ATP demand and a shift in the AMP:ATP
ratio. Towler and Hardie (2007) propose that AMPK activity may be increased simply
by an increase in ATP demand, owing to the fact that Ca2+ is immediately pumped out of
the cytoplasm via ATP-driven pumps.
Effects of Exercise on Insulin Sensitivity
In instances of chronic exercise, insulin sensitivity (defined as a shift in the
insulin dose-response curve to the left with decreasing insulin concentration needed to
cause 50% of the maximal response (Holloszy, 2005)) has been shown to increase in
younger people, improve citrate synthase and cytochrome c oxidase, and mRNA and
protein levels of GLUT4 (Short et al., 2003). Short et al. used a 16-week aerobic exercise
program to study the effect of age on exercise-induced changes on PGC-1α, GLUT4, and
nuclear transcription factors that regulate mitochondrial genes for cytochrome c (Short et
al., 2003). Short et al. trained subjects 3 times a week for 20 minutes at 70% max heart
rate, which was gradually increased until subjects were cycling four times a week for 40
minutes at 80% max heart rate during the last month of the training program. Insulin
sensitivity was increased by an average of 26%, but improvement was inversely related to
age. Both cytochrome c oxidase and citrate synthase increased. The authors concluded
that aerobic exercise training increased glucose transport capacity, but the changes were
not related to changes in insulin sensitivity (Short et al., 2003). Although, insulin
sensitivity was not improved, the change in glucose transport in response to exercise,
points to an increased insulin responsiveness, which is defined as an increase in glucose
transport induced by a maximally effective insulin concentration with a proportional
upward shift of the dose response curve (Holloszy, 2005). It has been shown that genes
encoding for cytochrome c and GLUT4 are regulated by cytosolic calcium (Freyssenet,
Di Carlo, & Hood, 1999; Ojuka et al., 2002) and PGC-1α (Michael et al., 2001). Thus
increases in cytosolic Ca2+, which also activates AMPK, from chronic exercise can
improve mitochondrial function and GLUT4 translocation.
Christ-Roberts et al. (Christ-Roberts et al., 2004) sought to determine how
improved insulin signaling (GLUT4 expression and glycogen synthase activity)
contributed to improved insulin sensitivity using an eight-week exercise program.
Training increased insulin-stimulated glucose disposal in non-diabetic and diabetic
subjects. Glycogen synthase activity, GLUT4, and Akt protein expression increased in
both groups (Christ-Roberts et al., 2004). However, exercise training did not enhance
IRS-1/PI3K activity. Thus, eight weeks of exercise training increased insulin-stimulated
glucose disposal primarily by increasing GLUT4 protein expression without enhancing
insulin-stimulated PI3K signaling. The training-induced improvement in glucose
disposal was primarily accounted for by increased insulin-stimulated glucose storage.
The previous two studies used aerobic exercise to study the effect of exercise on
insulin sensitivity and GLUT4 content of skeletal muscle in response to prolonged
exercise bouts of 8 (Christ-Roberts et al., 2004) and 16 weeks (Short et al., 2003). While
aerobic exercise causes an increase in GLUT4 content in skeletal muscle, it does not
always equate to increases in insulin sensitivity or an increase in the activation of the
PI3K/Akt pathway. However, neither study examined the effect of aerobic exercise on
AMPK and its involvement in GLUT4 activation.
AMPK is thought to be an important mediator of substrate metabolism in skeletal
muscle (Koshinaka et al., 2004). Six male subjects cycled for 60 minutes at about 72%
VO2peak (McGee et al., 2003), this resulted in an increase in Nuclear AMPK-α2. The
authors suggested that nuclear translocation of AMPK may mediate the effects of
exercise on skeletal muscle gene and protein expression (McGee et al., 2003). Another
study using rats subjected to six hours of swimming per day for 10 days (Kubota,
Koshinaka, Kawata, Loike, & Oshida, 2008). GLUT4 protein was increased in
exercising rats well above that of non-exercising rats. AMPK was also elevated above
that of non-exercising rats, but not significantly (Kubota et al., 2008). However, the
authors conceded that their protocol might not have been of significant intensity to illicit
a significant response, as AMPK activation is intensity dependent (Sriwijitkamol et al.,
2007). It has been shown by two different sets of researchers that increased activation of
AMPK after aerobic exercise, with both acute (Fisher et al., 2002) and repeated exercise
bouts (Jessen et al., 2003) is involved in the increase in glucose disposal after exercise.
The involvement of AMPK in increasing glucose disposal may be due to an association
Downstream of AMPK is AS160 (Treebak et al., 2006). Treebak et al. reported
that mice deficient in AMPK had decreased levels of phosphorylated AS160 (Treebak et
al., 2006). Additionally, adenosine anolog 5-aminoimidazole-4-carboxaminde
ribonucleoside (AICAR) affected AMPK activation via the α-catalytic subunit and
subsequent AS160 phosphorylation was inhibited in AMPK-α2-inactive mice (Kramer et
al., 2006). However, AMPK-α2-inactive mice only demonstrated partial inhibition of
contraction stimulated AS160 phosphorylation (Kramer et al., 2006), demonstrating that
while AMPK activation increases AS160 phosphorylation and the resultant GLUT4
translocation it is not the sole regulatory pathway in insulin-independent glucose uptake.
In isolated rat muscle, 5 minutes of contraction resulted in an increase in phosphorylated
AS160 (Bruss et al., 2005). Additionally when rats performed four 30-minute bouts of
swimming with 5-minute rest periods between swimming bouts, immediately after
exercise phosphorylated AS160 increased significantly compared to controls (Arias, Kim,
Funai, & Cartee, 2007). In humans, cycling for 60 and 90 minutes at 70% VO2peak
increased AS160 phosphorylation in the vastus lateralis muscle (Deshmukh et al., 2006;
Howlett, Mathews, Garnham, & Sakamoto, 2008; Treebak et al., 2007). However,
phosphorylated AS160 was not increased in vastus lateralis after shorter exercise bouts of
similar intensity (Treebak et al., 2007), or resistance training did not increase
phosphorylated AS160 immediately after exercise (Howlett, Sakamoto, Garnham,
Cameron-Smith, & Hargreaves, 2007). AS160 phosphorylation was shown to increase
up to 1h and 2h after resistance training (Dreyer et al., 2008). The two studies
employing resistance training as an exercise modality used different protocols, but neither
protocol elicited increased in phosphorylation of AS160 immediately post exercise
(Dreyer et al., 2008; Howlett et al., 2007). Howlett, Sakamoto, Garnham, Cameron-
Smith, & Hargreaves (2007) even performed analysis of phosphorylated AS160 in the
presence of insulin. The explanation for the failure of AS160 to be phosphorylated
immediately post-resistance exercise was accompanied by a decreased capacity for
AS160 to bind to 14-3-3 proteins (Howlett et al., 2007), with which AS160 binds to in
the cytosol (Ramm et al., 2006), thus inhibiting Rab GTPase activity. Interestingly,
endurance exercise demonstrated an increased capacity for binding with 14-3-3 (Howlett
It is apparent that exercise stimulates improvement in glucose uptake and that
AMPK plays a pivotal role via AS160. However, AMPK activation from chronic
exercise also leads to better use of FA as a fuel source via the phosphorylation of acetyl
CoA carboxylase, inhibiting FA formation, and inhibiting the formation of malonyl-CoA
(Saha & Ruderman, 2003). This also inhibits malonyl-CoA decarboxylase, which is
responsible for degrading malonyl-CoA. Malonyl-CoA is an allosteric regulator of
carnitine palmitoyltransferase-1 (CPT-1), which controls the entrance of long-chain fatty
acyl CoA into the mitochondria. Thus, increased AMPK activation also leads to
increased FA oxidation after exercise. It is thought that AMPK is an upstream regulator
of hormone sensitive lipase (HSL) (Witczak, Sharoff, & Goodyear, 2008). Hormone
sensitive lipase hydrolyzes the conversion of triglycerides into FFA and glycerols, which
is thought to be the rate-limiting step in the skeletal muscle lipolysis (Kiens, 2006). The
phosphorylation of HSL at Ser565 by AMPK after muscle contraction (Donsmark,
Langfort, Holm, Ploug, & Galbo, 2004) suggests the potential for AMPK to mediate
intramuscular triglyceride breakdown.
Nonetheless, phosphorylation states of proteins, are relatively transient
interactions and do not explain long-term beneficial effects of exercise on substrate
utilization. It has been suggested that AMPK activation increases FA oxidation, in
skeletal muscle in particular, via activation of PPAR-α and PGC-1α (Lee et al., 2006).
The co-activator PGC-1α is a member of a transcriptional co-activator family interacting
with transcriptional factors to coordinate mitochondrial biogenesis and promote the
remodeling of muscle fiber type to a tissue more compatible with fatty acid oxidation like
that of Type 1 muscle fiber (Liang & Ward, 2006). This has been observed in cell culture
and murine models with use of AICAR (Lee et al., 2006), and after chronic AMPK
activation from endurance training (Baar, 2004). However, AMPK appears to be
attenuated in the skeletal muscle of both obese and lean Type II diabetic persons after an
acute bout of exercise when compared to lean subjects (Sriwijitkamol et al., 2007). This
is not surprising considering that in this study lean Type II diabetic participants had
reduced PGC-1α levels (Sriwijitkamol et al., 2007). Similarly, obese people have been
shown to have reduced PGC-1α levels as a result of over-feeding (Muoio & Koves,
2007). Ultimately this also leads to attenuated AS160 activation in these populations.
Pharmacological Intervention of IR
Insulin resistance and Type II are typically treated using various pharmacological
therapies including metformin and TZDs. Metformin is a biguanide that was originally
obtained from
Galega officianalis, a botanical also known as ‘goat's rue' or ‘French lilac'
which can be found in the northern hemisphere and was used for centuries to treat
symptoms of diabetes mellitus (Straughan, 2007). A biguanide is a drug, based on the
molecular formula C2H7N5, which act as antihyperglycemic agent. Originally, three
biguanides were extracted from
Galega officianalis, but of the three, metformin is the
only one currently being prescribed for diabetes. Phenformin and buformin, the other
two biguanides, have a propensity to induce lactacidosis in patients (Salpeter, Greyber,
Pasternak, & Salpeter, 2006). Metformin can induce lactacidosis, but this typically only
occurs with high dosages (Salpeter et al., 2006). Figure 1 depicts the biguanide structure
and the structure of metformin.
Metformin is absorbed mainly in the small intestine and is believed to have 50-
60% bioavailability (Schafer, 1983). This biguanide is stable, is excreted in urine in an
unchanged form, and is non-plasma protein binding (Mehnert, 2001). The literature
typically states that metformin should be thought of as an anti-hyperglycemic not a
hypoglycemic drug. Metformin works to lower blood glucose up to 3.5 mmol/l in a dose
dependent manner by delaying the enteric absorption of glucose (De Fronzo, Barzilai, &
Simonson, 1991), stimulating glucose uptake by myocytes and adipocytes (Galuska,
Zierath, Thorne, Sonnenfeld, & Wallberg-Henriksson, 1991), and inhibiting hepatic
Figure 1. The above figure depicts the general structure of a biguanide, on the left, and the structure of the anhtihyperglycemic biguanide drug metformin, on the right.
gluconeogenesis and glycogenolysis (Bailey, 1992). Additionally, metformin does not
increase insulin secretion. Metformin has also been reported to reduce body weight
(Salpeter et al., 2006), provide modest improvements in lipid profiles (Lund et al., 2007;
Mourao, Sa, Guedes, & Dib, 2006; Stumvoll, Nurjahan, Perriello, Dailey, &Gerich,
1995), and possibly affect LDL and HDL particle size (Lawrence, Reid, & Taylor, 2004).
Mechanistically, metformin is thought to inhibit hepatic gluconeogenisis by
inhibiting hepatic lactate uptake (Radziuk et al., 1997), as well as increasing ATP.
Furthermore, ATP is an allosteric regulator of pyruvate kinase (PK), which results in an
increased PK flux (Large & Beylot, 1999). In the liver, metformin may also inhibit
pyruvate carboxylase-phosphoenolpyruvate carboxy kinase activity as well as oppose the
gluconeogenic action of glucagon (Kirpichnikov et al., 2002). Relative to skeletal muscle,
metformin enhances exocytosis of GLUT4 and GLUT1 to the plasma membrane and may
increase the capacity of said transporters to carry transfer glucose across the membrane
(Bailey & Turner, 1996; Wiernsperger & Bailey, 1999).
The TZDs increase insulin sensitivity in skeletal muscle and suppress hepatic
glucose production (Day, 1999). It is believed that TZDs also activate AMPK (Ye et al.,
2006). The TZD, Rosiglitazone is believed to enhance insulin sensitivity be stimulating
PPARγ in insulin sensitive tissue as well as mimicking insulin, which causes a slow anti-
hyperglycemic affect (Day, 1999). However, the exact mechanism is somewhat unclear.
Improvement in insulin sensitivity by TZDs occurs mostly in skeletal muscle via
activation of the PI3K/Akt pathway (Inzucchi et al., 1998; Petersen KF, 2000).
Troglitazone, another TZD, was found to restore insulin-stimulated PI3K activity and
increase p110β protein levels in skeletal muscle of type 2 diabetic subjects (Kim et al.,
2002). Rosiglitiazone enhanced peripheral glucose uptake in newly diagnosed Type II
patients via insulin and exercise mediated pathways while metformin did not (Hällsten et
al., 2002).
Pterocarpus Marsupium
Pterocarpus marsupium, also known as the Indian kino tree, is a member of the
Legumaniaceae family, and is a large deciduous tree native to the west peninusula of
India (Saxena & Vikram, 2004). PM
has been used in Ayurvedic medicine for several
centuries to the treat symptoms of diabetes and to lower lipid levels (Sharma, 1996). In
rats and hamsters, and human cell cultures, PM
has been used to study several of the
individual components of the metabolic syndrome (Grover, Vats, & Yadav, 2005;
Remsberg et al., 2008; Rimando et al., 2005).
Kar, Choudhary, and Bandyopadhyay (Kar, Choudhary, & Bandyopadhyay,
2003) used crude ethanolic extracts of 30 full grown matured plants to assess
hypoglycemic activity of these extracts in male albino rats. Diabetes was induced via
interperitoneal injection of alloxan monohydrate in order to partially destroy pancreatic
β-cells. Groups of five animals were selected for each botanical extract at 250 mg/kg of
body weight. Baseline blood glucose was measured and re-sampled at one-week
intervals. If adequate lowering of blood glucose levels were not achieved within two
weeks with a single dosage of 250 mg/kg the dosage was doubled and given twice daily.
Of the thirty, only eight extracts were effective within one week with the single 250
mg/kg dosage. PM
was the fourth most affective at lower blood glucose (Kar et al.,
2003). In a similar study, the heartwood of PM
alone was given to alloxan-induced
diabetic male and female Wistar rats (Mukhtar, Ansari, Ali, Bhat, & Naved, 2005). Five
days after hypergycemia was induced, the rats were separated into three groups of five.
One group was not given alloxan and used as controls. Of the other three groups, one
served as a diabetic control and received chow and distilled water, another group received
the anti-diabetic drug glicazide (a drug usually given along with Metformin or TZDs) and
chow, while the last group was given 250 mg/kg of aqueous extract of PM. Treatment
lasted for ten days. Blood samples were draw prior to initiating treatment, 1 hour, 3
hours, after initial treatment, and on days 1, 3, 7, and 10. PM significantly lowered blood
glucose levels compared to diabetic controls and glicazide treated rats (Mukhtar et al.,
Aqueous extract of PM
, Ocimum sanctum, and Trigonella foenumgraecum were
prepared due to their ability to exert hypoglycemic/anti-hyperglycemic effects (Grover
Vats, & Yadav, 2005). The three extracts were given to groups of rats fed a 66% fructose
diet in order to induce metabolic syndrome. There were five groups of rats total. One
group was a fed a normal chow diet, one was fed the high-fructose diet alone, one groups
was fed the high-fructose diet plus PM
(1 g • kg-1 • day-1), another was fed the high-
fructose diet plus
Ocimum sanctum (200 mg • kg-1 • day-1), while the final group was fed
the high-fructose diet plus
Trigonella foenumgraecum (2 g • kg-1 • day-1) for thirty days.
Compared to controls, fructose fed rats had increased levels of serum glucose, insulin,
and triglyceride levels. All three plant extracts significantly lowered the serum glucose,
but only PM
prevented hypertriglyceridaemia and hyperinsulinemia (Grover et al., 2005).
In another study, aqueous extract of PM
was
studied to assess the mechanisms of
how it might exert its anti-diabetic effects (Grover, Vats, & Yadav, 2002). Male albino
rats were fed a standard chow diet then randomized into three groups of six rats. One
group was kept as controls, while two groups were administered streptozotocin to induce
hyperglycemia for a period of ten days. One of the hyperglycemic groups was used as
diabetic control, and the other group was given PM
for 30 days. After thirty days of
treatment, all animals were sacrificed and organs and tissues were sampled. Again, PM
effectively lowered blood glucose levels by up to 60%. In the diabetic controls, liver and
kidney weight increased significantly (p < 0.0005) versus controls.
Pterocarpus
marsupium extract prevented this gain in kidney, but not liver weight.
Pterocarpus
marsupium extract also partially prevented increased glycogen content in the diabetic
kidney and the decrease in glycogen content in diabetic liver and skeletal muscle.
Diabetic controls had a decrease in hexokinase, phosphofructokinase, and glucokinase
compared to controls. In rats treated with PM
the change in phosphofructokinase was
corrected and the change in hexokinase and glucokinase was partially corrected (Grover
Methanolic extract of PM and 7-O-α-L-rhamnopyranosyloxy-4'-methoxy-5-
hydroxy isoflavone isolated from PM
were used to examine activation of cellular targets
of
PM (Anandharajan et al., 2005), in yet another study. L6 myotubes were cultured and
subjected to glucose uptake after being starved for 5 hours. The culture were then
incubated with PM and 7-O-α-L-rhamnopyranosyloxy-4'-methoxy-5-hydroxy
isoflavone. After incubation the cells were rinsed and incubated again. Next, glucose
uptake was terminated by aspiration of the media. Cells were then washed three times.
RT-PCR was carried out.
Pterocarpus marsupium incubated cells demonstrated a two-
fold increase of 2-deoxy glucose compared to controls. Cells were also analyzed by PT-
PCR for transcriptional activity of GLUT4, PPARγ, and PI3K. Both PM
and 7-O-α-L-
rhamnopyranosyloxy-4'-methoxy-5-hydroxy isoflavone showed elevated expression of
GLUT4 that was comparable to the results of cells cultured with insulin and rosiglitizone
(Anandharajan et al., 2005). Cells cultured in PM
and 7-O-α-L-rhamnopyranosyloxy-4'-
methoxy-5-hydroxy isoflavone showed increased expression of PPARγ comparable to
rosiglitizone, while only PM
cultured cells showed increased expression which was
comparable to insulin (Anandharajan et al., 2005).
In human clinical studies, PM
has also been shown to be affective. In one study,
ten patients were given water that was stored in a container made of the hardwood of PM
for one month (Kedar & Chakrabarti, 1981). Blood glucose levels decreased after a
minimum of two weeks, and remained at normal levels until the patients were taken off
of the medication. In another study, the efficacy of PM
for treating newly diagnosed or
untreated Type II patient given the extract for 12 weeks was studied (Indian Council of
Medical Research [ICMR], 1998). Two grams were initially given for four weeks. If no
significant change was observed in that time, the dosage was doubled. Ninety-three
patients finished the study. Blood glucose levels, fasting and postprandial, decreased
significantly by 32mg% and 45mg%, respectively (ICMR, 1998).
Specific Extracts of PM
The previously mentioned research articles mostly concern PM
extracts as a
whole; however, numerous compounds have been isolated from PM in an attempt to
identify the most potent compounds. Some of those compounds have been purported to
have antihyperlipidemic effects (Jahromi & Ray, 1993), antioxidant effects (Satheesh &
Pari, 2006), and insulin mimetic effects (Ahmad, Khalid, Khan, Rastogi, & Kidwai,
1989). (Jahromi & Ray, 1993) examine the antihyperlipidemic effects of the flavonoids
marsupsin, pterosupin, and liquiritgenin from decocted PM extract and PM extract. Male
albino Charles Foster rats were given high fat diets and Triton to induce hyperlipidemia.
Rats were kept on high fat diets and given either water as a control, Cholestyramine as a
reference, marsupsin, pterosupin, and liquiritgenin at doses of 40 mg/kg body weight
(Jahromi & Ray, 1993).
Pterocarpus marsupium extract, given at 120 mg/kg body
weight, significantly reduced serum cholesterol, triglycerides, and LDL- and VLDL-
cholesterol without any effect on HDL-cholesterol. Pterosupin and liquiritgenin
effectively lowered serum cholesterol, LDL-cholesterol, and raised HDL-cholesterol
(Jahromi & Ray, 1993).
One potent compound isolated from PM
is
(-) epicatechin (Ep). Epicatechin was
purported to have insulin mimetic effects and to be insulinogenic (Ahmad et al., 1989). It
stimulated uptake of oxygen in fat cells and increased glycogen content of rat
diaphragms. Epicatechin also inhibited theophylline lipolysis in isolate fat pads.
However, Ep has not been shown to share binding sites with insulin and does not affect
the release of glucagon (Ahmad et al., 1989). In vitro, Ep was also shown to increase
cAMP, a second messenger in signal transducion, content in pancreastic islets associated
with increased insulin secretion (Ahmad, Khan, Rastogi, Chaubey, & Kidwai, 1991). It
was also associated with the conversion of proinsulin to insulin.
The most researched compound isolated from PM
extract is pterostilbene.
Pterostilbene, a structural analog of resveratrol (
trans-3,5,4′-trihyrdoxystilbene), which
occurs naturally in plants such as grapes and peanuts. Resveratrol has been shown to
regulate inflammation (Csiszar et al., 2006; Martin, Villegas, Sanchez-Hildalgo, &
Alarcon, 2006; Vignaud, Cebrian, Martelly, Caruelle, & Ferry, 2005), be an antioxidant
and regulate lipid peroxidation, regulate cell-proliferation and apoptosis (Manna,
Mukhopadhyay, & Aggarwal, 2000; Surh, 2003), and regulate GLUT transport via
activation of AMPK (Breen, Sanli, Giacca, & Tsiani, 2008; Park et al., 2007).
Structurally, pterostilbene (
trans-3,5-dimethoxy-4′-hydroxystibene) is identical to
resveratrol, but is methylated at carbons 3 and 5 of the secondary aromatic ring.
Resveratrol and pterostilbene are also found in plants used to treat diabetes and
inflammatory diseases in the Ayurvedic system of medicine.
Comparison of Resveratrol and Pterostilbene
Resveratrol is highly studied for its chemopreventative effects in cancer cells,
cardiovascular disease, and its antioxidant capabilities. However, it has been reported
that resveratrol has low oral bioavailability (Goldberg, Yan, & Soleas, 2003; Walle,
Hsieh, DeLegge, Oatis, & Walle, 2004). The low bioavailability of resveratrol, or most
polyphenols, is believed to be due to the free hydroxyl groups on both aromatic rings,
allowing the compound to be freely glucoronidated and sulfated (Otake, Hsieh, & Walle,
2002). With this thought in mind, Wen and Walle (Wen & Walle, 2006) compared
methylated and unmethylated polyphenols in pooled human liver S9 fraction and human
colon adenocarcinoma cells. Among the unmethylated polyphenols studied were
resveratrol and quercetin, another highly studied polyphenol. Four methylated flavones
were also studied and were found to result in increased hepatic metabolic stability and
improved intestinal absorption (Wen & Walle, 2006). The authors found that blocked
hydroxyl groups via methylation removed the influence of the conjugation pathways.
Thus reduced clearance in intestinal epithelial cells and in the liver may provide higher
oral absorption.
As pterostilbene is a natural dimethylated analog of resveratrol, this may lead to
higher oral bioavailablity than resveratrol. However, the research on this topic is unclear
whether this is actually the case. For example, in a study designed to examine the
pharmacometrics and pharmacokinetics of trans-pterosilbene, male Sprague-Dawley rats
were intravenously dosed with 20 mg/kg of the dimethyl resveratrol analog trans-
pterostilbene (Remsberg et al., 2008). Remsberg et al. found that glucoronidatied
pterostilbene levels agreed with previous studies reporting that resveratrol existed
predominately in its glucoronidated form (Remsberg et al., 2008; Wenzel & Somoza,
2005). Additionally, similar to trans-resveratrol, trans-pterostilbene appeared to excrete
mainly via non-renal routes with a half-life of less than one hour (Remsberg et al., 2008).
Applied Studies Involving Pterostilbene Administration
Based on the structural similarities to resveratrol, pterostilbene has been studied in
many of the same models to test its effectiveness in preventing cancer and cardiovascular
disease, as well as treating hyperlipediemia and hyperglycemica. However, most studies
have been performed using murine models or
in vitro human cell lines. As such, there is
a paucity of data related to the use of pterostilbene in human models.Based on the
structural similarities and the reported similarities in metabolism, it is no surprise that
pterostilbene has been shown to be as potent as resveratrol or other polyphenols, such as
quercetin. Recently, pterostilbene and resveratrol were used to explore their effects on
the tumor promoter 12-
O-tetradecanoylphorbol-13-acetate (TPA) in mouse epidermis
(Cichocki et al., 2008). Both resveratrol and pterostilbene were effective at reducing pro-
carcinogenic processes such as activator protein-1 and NF-κB. There was also reduced
activation of cyclooxygenase-2 (COX-2) and iNOS with both polyphenols. In most
assays run in the study, pterostilbene was as effective as resveratrol or significantly more
potent than resveratrol (Cichocki et al., 2008). Although, as stated previously,
pterostilbene was metabolized in a similar manner as resveratrol the authors suggested
the greater potency of pterostilbene might be due to its higher bioavailability via
The Effects of Pterostilbene on IR and Factors of Metabolic Syndrome
Three phenolic constituents of the heartwood of
Pterocarpus marsupium,
marsupsin, pterosupin, and pterostilbene, were given to hyperglycemic rats. Marsupsin
and pterostilbene significantly lowered the blood glucose level, with effects comparable
to metformin (Manickam et al., 1997). Pterostilbene was also found to lower plasma
lipoprotein and cholesterol in hypercholesterolemic hamsters and to be an agonist for
peroxisome proliferator-activated receptor alpha (PPAR-α) (Rimando et al., 2005). It
was investigated whether resveratrol and three analogues, one of which is pterostilbene,
would activate the PPAR-α, which may mediate the effects of fibrates. Resveratrol and
its analogues were compared to ciprofibrate in H4IIEC3 cells. Of the analogues,
pterostilbene resulted in the highest amount of PPAR-α induction. In fact, maximal
induction with pterostilbene was higher than with ciprofibrate. Hypercholesterolemic
hamsters were given pterostilbene, which resulted in lowered LDL and plasma glucose as
well as increased HDL when compared to controls (Rimando et al., 2005).
Pterostilbene was used in streptozotocin-nicotinamide-induced diabetic rats to
assess anti-oxidant status (Satheesh & Pari, 2006). Superoxide dismutase, catalase,
glutathione peroxidase, glutathione-S-transferase, and reduced glutathione were
significantly decreased in liver and kidney of diabetic animals when compared with
normal control. Pterostilbene (40 mg/kg) treatment for six weeks significantly improved
the activities of these, and lipid peroxidation was in the liver and kidneys were
normalized, showing the anti-oxidant activity of pterostilbene (Satheesh & Pari, 2006).
Another study using diabetic rats was done to examine the effects of pterostilbene
on key enzymes in hepatic glucose metabolism, and the action of pterostilbene was
compared to that of metformin (Pari & Satheesh, 2006). Rats were given streptozotocin-
nicotinamide to induce diabetes then were administered pterostilbene orally. Six weeks
of pterostilbene (40 mg/kg) significantly decreased plasma glucose and increased plasma
insulin levels diabetic rats. Pterostilbene also significantly reduced glycosylated
hemoglobin and increased total hemoglobin levels. Hepatic hexokinase was significantly
increased. Furthermore, glucose-6-phosphatase and fructose-1,6-bisphosphatase were
significantly decreased (Pari & Satheesh, 2006).
It appears that exercise and insulin exert their effects on glucose transport via
integration of different pathways that converge at a common point in the cascade at
AS160, and that AS160 is regulated by the action of 14-3-3 (Howlett., Sakamoto,
Garnham, Cameron-Smith & Hargreaves, 2007; Kramer et al., 2006; Ramm et al., 2006).
Thus, the glucose uptake in response to exercise does not actually improve insulin
sensitivity, but causes translocation of GLUT4 via a non-insulin-dependent pathway.
Therefore, in regards to glucose uptake via muscle contraction, the term insulin
sensitivity is a misnomer. Regardless, exercise improves the ability of GLUT4 to
facilitate glucose entry into skeletal muscle.
As stated previously, AMPK is one mechanism by which glucose disposal is
increased during exercise. However, the role of AMPK appears to be dependent on work
intensity. Activation of AMPK, at rest and during low intensities (>40% VO2), results in
the phosphorylation of ACC, activation of PGC-1 and different PPARs, as well as
increased levels of CPT-1. Together this sequence of events leads to increased utilization
of FA as a fuel source in the short term and increased mitochondrial biogenesis in the
long term. Thus, AMPK plays an integral role in the metabolic milieu and the switching
of substrates as a fuel source. Although, data in humans is scarce, studies in murine
models using PM have demonstrated a propensity to lower serum glucose, which could
possibly extend the body's improved ability to dispose of glucose during and after
exercise. Furthermore, PM and isolated compounds from PM have been purported to not
only decrease inflammation, improve lipid profiles, and decrease glycosylated
hemoglobin, but more importantly to increase activation of AMPK, independent of
exercise. This information, coupled with the fact that IR individuals have abnormalities
in lipid and glucose metabolism, have an attenuated AMPK response to exercise, and
have reduced basal activation of PGC-1; it is clear that any increase in AMPK activity
could be beneficial. Moreover, since PM
has been purported to decrease inflammation,
improve lipid profiles, and decrease glycosylated hemoglobin, to name a few, if PM
functions in
in vivo human models via increasing AMPK as research suggests,
administering PM
may also provide an alternative means of preventing or delaying the
progression of IR to diabetes and to improve postexercise substrate utilization.
Participants
Sixteen obese or overweight sedentary, prediabetic as determined by handheld
glucometer, [fasting plasma glucose: 100-125 mg/dL] premenopausal females between
18 and 40 years of age were recruited and finished this study. Initially, nineteen obese or
overweight, sedentary women between the ages of 18 and 40 years of age started the
study. However, three participants dropped out of the study. Two participants were in
the PL group, and one participant was in the PM group. Of those that dropped out, two
did not finish the study due to time constraints, while the third did not provide reason for
dropping out of the study. Participants were declared sedentary if they did not participate
in any form of exercise for 30 minutes at least 5 days a week for a minimum of one year.
Additionally, all participants were not on any form of oral contraceptives for at least two
months prior to study commencement; oral contraceptives appear to reduce glucose
tolerance by reducing peripheral tissue insulin sensitivity (Kim et al., 2002). Prior to
participation in the study, all participants provided written physician approval.
Participants who qualified for the study were cleared for participation by successfully
completing a series of health screening examinations (i.e., health screening questionnaire,
blood pressure assessment, fasting glucose assessment) by study personnel.
Participants were not allowed to participate if they met any of the following
criteria: 1) had any metabolic disorders including known electrolyte abnormalities; heart
disease, arrhythmias, diabetes, thyroid disease or hypogonadism; a history of
uncontrolled hypertension, hepatorenal, musculoskeletal, autoimmune, or neurological
disease; if they were taking thyroid, hyperlipidmeic, hypoglycemic, or antihypertensive;
2) had ingested any thermogenic, anti-oxidant, or phytonutrient nutritional supplements
for a 2-month time period prior to beginning the study and did not take any additional
nutritional supplement (except a vitamin/mineral supplement) or contraindicated
prescription medication during the protocol. All participants meeting entrance criteria
signed informed consent statements in compliance with the Human Participants
Guidelines of Baylor University and the American College of Sports Medicine.
Study Site
All testing sessions were conducted in the Exercise & Sport Nutrition Laboratory
(ESNL) and the Exercise & Biochemical Nutrition Laboratory (EBNL) in the Department
of Health, Human Performance, and Recreation at Baylor University.
Independent and Dependent Variables
The independent variables were nutritional supplementation (either placebo or
Pterocarpus marsupium), graded exercise test, and oral glucose tolerance test.
Dependent variables included body weight, measurements of glucose and insulin, muscle
gene expression of Akt2, AMPK, AS160, PPAR -α and -γ, and PGC-1α, serum clinical
safety markers, uric acid, triglycerides, total cholesterol, low-density lipoprotein, and
high-density lipoprotein.
General Study Overview
Table 1 presents the general research design and time course of assessments
administered in this study. Participants expressing interest in participating in this study
were interviewed on the phone to determine whether they appeared to qualify for
participation in this study. Participants believed to meet eligibility criteria were then
invited to attend an entry and familiarization and presupplementation testing session.
The entry and familiarization session included a thorough medical history, signing an
informed consent, a fasting glucose test, as well as an exercise history form. The
presupplementation testing session included a second fasting glucose test, measurement
of body mass, total body water, body composition, and resting HR and BP. Additionally,
baseline blood and muscle samples were sampled. Before leaving the laboratory, the
participants were assigned to a randomized, double-blinded group. The participants
either received a seven-day supply of
Pterocarpus marsupium or placebo. Participants
supplemented for seven days. However, on the sixth day the participants returned to the
lab for an OGTT, and on the seventh day returned for a GXT.
Familiarization and Initial Glucose Screening
Participants expressing interest in participating in this study were invited
to attend a familiarization and initial glucose screening session. Participants were
instructed to refrain from exercise for 48 hours and fast for 8 - 12 hours prior to
pretesting and for all scheduled assessments. On reporting to the lab, participants
completed a medical history questionnaire and personal information forms regarding
exercise habits and health status (Appendix A and B) and underwent a general physical
examination to determine whether they met eligibility criteria. Participants were required
to obtain medical clearance from their personal physician prior to participating in
baseline assessments. Once medical clearance was obtained, participants were
familiarized to the study protocol via a verbal and written explanation outlining the study
design. Body mass was measured to ensure participants met the entry criteria for BMI (≥
Treatment Timeline
Tolerance Testing
Exercise Testing
Body Mass/ HR/BP/
with placebo, or
Graded exercise test
30min post-glucose
30min post-exercise
1hr post-glucose
1hr post-exercise
2hr post-glucose
2hr post-exercise
supplement intake
Fasting blood glucose was assessed using a ReliOn® Ultima glucometer and
testing strips (ReliOn®; Bedford, MA;) to determine if participants were pre-diabetic
(glucose: 100-125 mg/dL). The instruction manual for the ReliOn® Ultima glucometer
and testing strips states that results typically vary by no more than 2.9% to 5.1%. The
means, standard deviations (SD), and percent coefficient of variation (CV) (mean ± SD
(CV)) normative values, for mid-low to mid-high range glucose samples, as reported by
the ReliOn® Ultima manufacurer, are 76 ± 3.0 (3.5%) and 218 ± 7.0 (3.4%). Participants
meeting all entry criteria were familiarized to the study protocol by way of a verbal and
written explanation outlining the study design. After meeting all inclusion criteria and
familiarization of the study, participants signed university-approved informed consents
granted by the Institutional Review Board for Human Subjects of Baylor University
(Appendix C). Participants were then asked to return to the lab in two days for a second
fasting blood glucose measurement to confirm pre-diabetic status based on fasting blood
glucose as measured by a handheld glucometer. Baseline testing was done if the second
fasting glucose measure was at or near 100 mg/dL.
Baseline Testing/Pre-Supplementation (Day 1- T1)
On reporting to the laboratory, fasting blood glucose was assessed again in an
attempt to avoid a false classification of pre-diabetes. Once a fasting glucose level
between 100-125 mg/dL had been confirmed, the baseline testing session proceeded.
Height, total body mass (kg) (Cardinal Detecto Scale; Webb City, MO), waist
circumference (a tension-regulated retractable cloth tape measure; GF Health Products
Inc.; Atlanta, GA), and intracellular, extracellular, and total body water (TBW) (BIA;
Xitron Technologies Inc.; San Diego, CA) were measured. The BIA has been shown to
be acceptable for assessing short-term changes in TBW within individuals over time with
a precision of ±0.5% TBW (Wells et al., 1999). Percent body fat, fat mass, and fat-free
masses were determined using Dual Energy X-ray Absorptiometer (DEXA; Hologic®
Discovery™ DEXA - QDR Series; Bedford, MA). The accuracy of the DEXA is
approximately ±2.9% in men and ±2.6% in women for fat mass, lean mass, and total
mass as assessed by direct comparison with hydrodensitometry and scale weight (Prior et
Following anthropometeric measurements, participants had resting heart rate and
blood pressure measured using standard procedures. Participants then donated
approximately 10-15 ml of fasting blood using venipuncture techniques of an antecubital
vein in the forearm according to standard procedures. Blood samples were allowed to
stand at room temperature for 10 min and then centrifuged. For each sample, the plasma
and/or serum was removed and frozen at -80°C for later analysis. Percutaneous muscle
biopsies (10-15 mg), using a fine needle aspiration technique, were obtained from the
vastus lateralis muscle. After removal, adipose tissue was trimmed from the muscle
specimens and immediately frozen in liquid nitrogen and then stored at -80°C for later
analysis.
Supplementation
Following baseline measurements, subjects were matched based on body
composition and randomly assigned in a double-blind fashion to ingest capsules
containing 250 mg cellulose placebo twice daily or 250 mg of
Pterocarpus Marsupium
twice daily, at breakfast and at noon, for the duration of the study.
Pterocarpus
Marsupium extract sold under the name Silbinol® (Sabinsa Corporation; Piscataway, NJ)
and Nutricology® cellulose (Nutricology Inc.; Alameda, CA) placebo supplements were
prepared in Capsuline® vegetarian gel capsules using a Capsuline® 60 capsule filling
machine (Capsuline Inc.; Pompano Beach, FL). Sabinsa Corporation provided
documentation that
Pterocarpus marsupium was 5.4% pterostilbene and 0.27%
epicatechin as confirmed by HPLC. Supplements were prepared in gel capsule form and
packaged generically for double blind administration. Supplementation compliance was
monitored by having the participants fill out supplement logs recording the amount of
supplement ingested during each day of the supplementation period as well as bringing
remaining capsules to the second testing session (T2). Participants were instructed to
consume the supplement for 5 days prior to the second testing session. Participants also
filled out a reported side effects questionnaire at baseline, T2, and T3.
Oral Glucose Tolerance Test (Second Testing Session – T2)
Participants refrained from exercise for 48 hours and fasted for 8 - 12 hours.
Upon arrival, participants ingested their respective supplement then had total body mass,
total body water (total, intracellular, and extracellular), waist circumference, heart rate,
and blood pressure assessed. Next, a baseline blood sample (15 ml) was drawn using
standard phlebotomy techniques and muscle tissue was sampled from the vastus lateralis
muscle (15-20 mg) using fine needle aspiration techniques. The participant then ingested
an oral dosage of 75 g of glucose solution (Casco-Nerl TRUTOL Glucose Tolerance
Beverages; East Rutherford, RI) within a five-minute time frame. Participants were
instructed to remain in a rested state during the two hours following the glucose
administration. Additional blood samples (5 ml) were drawn at 30, 60, and 120 minutes
post-ingestion while muscle tissue (15-20 mg) was sampled as 60 minutes post-ingestion.
Blood samples were analyzed for glucose and insulin levels to measure glucose clearance
The OGTT was to determine the amount of time it took a bolus of glucose to be
cleared from the blood; individuals who are insulin resistant require a longer period of
time and a greater amount of insulin to clear the same amount of glucose from their
blood. Whole-body insulin sensitivity is best calculated from an equation that utilizes the
reciprocal of the product of insulin and glucose concentrations (Matsuda & De Fronzo,
1999). In normal, non-insulin resistant individuals fasting plasma glucose levels should
be below 6.1 mmol/l (109.8 mg/dL). Impaired fasting glycemia is between 6.1 and 7.0
mmol/l (109.8 and 126 mg/dL). Levels above 7.0 mmol/l (126 mg/dL) are indicative of
diabetes mellitus. Two-hour glucose levels should be below 7.8 mmol/l (140.4 mg/dL).
Levels between 7.8 and 11.1 mmol/l (140.4 and 199.8 mg/dL) are indicative of impaired
glucose tolerance, while glucose levels above 11.1 mmol/l (199.8 mg/dL) are diagnostic
of diabetes mellitus.
Quantification of Insulin Resistance
The homeostasis model assessment of IR (HOMA IR) was used to quantify IR
from fasting serum. The following formula was used for HOMA-IR: (fasting plasma
glucose x fasting plasma insulin)/405 (Matthews et al., 1985). After the OGTT, insulin
resistance was determined with the Matsuda OGTT insulin sensitivity index using OGTT
insulin values (Matsuda & DeFronzo, 1999). The Matsuda OGTT insulin sensitivity
index has been validated against the hyperinsulinemic, euglycemic clamp in research (r =
0.73, P < 0.0001) (Matsuda & DeFronzo, 1999). For this whole body model (hepatic and
peripheral) of insulin resistance, the composite insulin sensitivity index is:
where FSG is the fasting serum glucose concentration, FSI is the fasting serum insulin
concentration, and μOGTT[glucose] and μOGTT[insulin] are the respective mean serum
glucose and insulin concentrations during the OGTT (Matsuda & DeFronzo, 1999).
Acute Exercise Bout (Testing Session 3 – T3)
Twenty-four hours following T2 testing, participants returned to the laboratory in
a fasted state of (8-12 hours.) Upon arrival, participants ingested their respective
supplement then had total body mass, total body water (total, intracellular, and
extracellular), waist circumference, heart rate, and blood pressure assessed. Next, a
baseline blood sample (15 ml) was drawn using standard phlebotomy techniques and
muscle tissue was sampled from the vastus lateralis muscle (15-20 mg) using the fine
needle aspiration technique. Each participant completed a graded exercise test (GXT),
and the test was performed until volitional exhaustion. Additional blood samples (5 ml)
were drawn at 30, 60, and 120 minutes post-ingestion while muscle tissue (15-20 mg)
was sampled as 60 minutes post-ingestion.
For the GXT, participants were first seated next to the treadmill and resting heart
rate and blood pressure were measured. A sterile mouthpiece attached to a head harness
was secured on the participant. The participant then had a nose clip placed on their nose.
Once the participant was ready to begin the test protocol, she straddled the treadmill with
both legs while the treadmill was turned on at a speed of 2.0 mph and at a 0% grade. The
participant then used one foot to repeatedly swipe the belt in order to gauge the speed of
the motion. Once the participant was familiar with this speed, she stepped onto the belt
while still gripping the handrail with both hands. Once the participant became
comfortable walking on the treadmill, she let go of the handrail and began walking freely.
The participant then performed a standard symptom-limited Modified Balke treadmill
maximal exercise test using the protocol in Table 2. Only participants who were low-to-
moderate risk with no contraindications to exercise, based on the American College of
Sports Medicine (ASCM) guidelines, were eligible to exercise.
Modified Balke Protocol
Resting expired gases were collected using the Parvo Medics 2400 TrueMax
Metabolic Measurement System (Sandy, UT). From these gases the participant's oxygen
uptake (VO2) and respiratory exchange ratio (RER) was measured throughout the
duration of the test to assess their aerobic capacity and substrate utilization. Based on the
ACSM guidelines, HR, BP, and a 12-lead electrocardiogram (ECG) were used to ensure
no contraindications existed before the GXT. Heart rate, BP, and ECG were also
monitored during the GXT.
Muscle Biopsy Sampling
Percutaneous muscle biopsies (10-15 mg) using a fine needle aspiration technique
were obtained from the middle portion of the vastus lateralis muscle of the leg at the
midpoint between the patella and the greater trochanter of the femur at a depth between 1
and 2 cm. The leg in which the initial biopsy was performed was randomly assigned.
Biopsies for T2 and T3 were performed alternating from the randomly chosen leg to the
opposite leg and then back to the initial leg. For subsequent biopsies, muscle tissue was
extracted from the same location by using the previous location and depth markings on
the needle. Pre-biopsy preparations included removing hair from the procedure area and
wiped with 70% isopropyl alcohol prep pads. The biopsy site was sterilized with a 10%
povidone-iodine solution and anesthetized with 1 ml of 1% Lidocaine. After local
anesthesia, a pilot puncture was made with an 18-gauge needle, after which a 16-gauge
biopsy needle was inserted. Once the muscle sample had been obtained, pressure was
immediately applied to the biopsy site and an adhesive bandage immediately applied.
Bleeding was minimal due to the small puncture-type opening; therefore, only a standard
band-aid type bandage was needed to cover the puncture. The biopsy needles were
discarded as hazardous waste in an appropriately labeled plastic sharps container.
Post-biopsy, participants were instructed to leave the band-aid in place for 12
hours (unless unexpected bleeding or pain occurred) and asked to contact the lab
immediately if they felt there was a problem. The time course of the study allowed for
daily follow-up to occur, in order to ensure all biopsy locations healed correctly and were
free of infection. After the testing sessions, the participants were advised to refrain from
vigorous physical activity during the first 24 hours post-biopsy to minimize pain and
possible bleeding of the area. If needed, the participant was instructed that non-
prescription analgesic medication such as Acetaminophen could be ingested to relieve
pain if needed. However, medications such as aspirin, Nuprin, Bufferin, or Advil were
discouraged as these medications may lead to ecchymosis at the biopsy site. Soreness of
the area typically occurred for approximately 24 hours post-biopsy.
Assessment of Hemodynamic Safety Markers
Resting hemodynamic safety markers (HR and BP) were assessed at the
beginning of each testing session. Heart rate was determined by palpation of the radial
artery using standard procedures. Blood pressure will be assessed in the seated position
using standard procedures with an aneroid sphygmomanometer
Venous Blood Sampling
Participants donated approximately 3-4 teaspoons of fasting venous blood
(approximately 10-15 milliliters) during each baseline blood draw, approximately 5 mL
during the post-OGTT blood draws, and approximately 10-15 mL during the post-GXT
blood draws. All blood samples were obtained from the antecubital vein using standard
phlebotomy procedures by study personnel trained in phlebotomy in compliance with
guidelines established by the Texas Department of Health and Human Services. The
phlebotomists and lab technicians wore personal protective clothing (gloves, lab coats,
etc.) when handling blood samples. Subjects were seated in a phlebotomy chair. Their
arm was cleaned with a sterile alcohol wipe and sterile gauze. A standard rubber
tourniquet was then placed on the brachium (upper arm) and was tight enough to visibly
indent the skin, but not cause the participant discomfort. A 22-gauge sterile needle
attached to a plastic VacutainerTM holder was inserted into the vein using standard
procedures. Two plasma tubes and one serum separation tube were used in succession for
blood collection. Once samples were obtained, the needle was removed and discarded as
hazardous waste in a plastic sharps container.
The site of the blood draw was cleaned with a sterile alcohol wipe and gauze and
a sterile Band-Aid will be placed on the site. The blood collection tubes were labeled and
placed in a test tube rack. Laboratory technicians (who had received blood borne
pathogen training and were wearing personal protective clothing) allowed the serum to
clot for 10-mintues, centrifuged the serum and/or plasma samples at 2,400 rpm for 15
minutes, and then stored the serum at -80 degrees C.
Serum Analysis
Insulin (intra-assay CV 5.3%; inter-assay CV 5.6%) was analyzed using a
commercially available enzyme-linked immunoabsorbent assay (ELISA) kit (catalog
0030, Alpha Diagnostic International, San Antonio, TX,). The serum samples were
diluted 1:10 with diluent buffer and added to the pre-coated plate. One hundred μl of
antibody-enzyme conjugate was dispensed into each well and then left to incubate for 30
minutes using a Jitterbug orbital microplate shaker (Boekel Scientific, Philadelphia, PA).
The plate was then washed 5 times with 300 μl in each well with a MultiWash Advantage
automated microplate washer (Tri Continent Scientific, Grass Valley, CA). Next, 200 μl
of HRP-substrate mix was dispensed into each well and allowed to incubate at room
temperature for 15 minutes. Finally, 50 μl of stop solution was added to all wells and the
plate was immediately read using a Wallac Victor2 TM1420 multilabel microplate reader
(Turku, Finland) at wavelength of 450 nm. All standards, controls, and unknowns were
assayed in duplicate, and Mikrowin 2000 (Mikrotek Laborsysteme, Germany) data-
reduction software was used to quantify insulin concentration.
Serum and plasma samples were sent to Quest Diagnostics (Irving, TX) for analysis
of glucose, total protein, blood urea nitrogen, creatinine, BUN/creatinine ratio, uric acid,
AST, ALT, GGT, albumin, globulin, sodium chloride, calcium, carbon dioxide, total
bilirubin, alkaline phosphatase, LDL, HDL, total cholesterol, triglycerides, and
HDL/cholesterol ratio.
Assessment of Metabolic Gene Expression
Based on previous guidelines (D. S. Willoughby & Wilborn, 2006),
approximately 10 mg of muscle tissue was placed in a microfuge tube and homogenized
with a plastic pestle in 500 µl of monophasic solution of phenol and guanidine
isothiocyanate contained within the TRI-reagent (Sigma Chemical Co., St. Louis, MO).
The muscle homogenate was allowed to stand for five minutes at room temperature to
allow for the complete dissociation of nucleoprotein complexes at which point 100 µl of
chloroform was added. The solution was mixed and allowed to sit at room temperature
for ten minutes and then centrifuged at 12,000 x g for 15 minutes. The supernatant was
then removed and transferred to a new microfuge tube, and then 250 µl of isoproponal
was added. The solution was mixed and allowed to sit at room temperature for ten
minutes and centrifuged at 12,000 x g for ten minutes. The supernatant was then
discarded and the RNA pellet was washed with 500 µl 75% ethanol and centrifuged for
five minutes at 7,500 x g. The ethanol wash was repeated a second time at which point
the supernatant was removed and the RNA pellet allowed to air dry for ten minutes prior
to being dissolved in 50 µl of nuclease-free water. The RNA samples were stored at -
80°C until later analysis.
The RNA extracted from each muscle sample was reverse transcribed to generate
cDNA using an iScript cDNA Synthesis Kit (Bio-Rad, Hercules, CA). A reverse
transcription reaction mixture [2 μg of cellular RNA, 5x reverse transcription buffer (20
mM Tris-HCL, pH 8.3; 50 mM KCl; 2.5 mM MgCl2; 100 μg of bovine serum
albumin/ml), a dNTP mixture containing 0.2 mM each of dATP, dCTP, dGTP, and
dTTP, 0.8 μM MgCl2, 0.5 μg/μl of oligo(dT) 15 primer, and 25 u/μg of MMLV RNAase
H+ reverse transcriptase enzyme (Bio-Rad, Hercules, CA, USA)] was added to 2 μg of
skeletal muscle RNA and incubated at 25°C for five minutes, 42°C for 30 minutes, and
then heated to 85°C for ten minutes. The cDNA concentration was determined
spectrophotometerically using (Helio γ, Thermo Electron, Milford, MA) by optical
density (OD) at 260 nm using an OD260 equivalent to 50 μg/μl (D. S. Willoughby, Stout,
J. R., & Wilborn, C. D., 2007) and the starting cDNA template concentration was
standardized by adjusting all samples to 200 ng prior to amplification. The cDNA was
then stored at -80°C until later analysis.
Oligonucleotide Primers for PCR
The mRNA sequences of human skeletal muscle genes (GLUT4, AMPK, PPAR -
α and -γ, and PGC-1-α) published in the NCBI Entrez Nucleotide database
(www.ncdi.nlm.hih.gov) were used to construct oligonucleotide PCR primers using
Beacon Designer software (Bio-Rad, Hercules, CA, USA). Table 3 shows the sense
sequence, anti-sequence, amplicon size, and NCBI accession number for each gene
assessed in the study. The sense and anti-sense primers were synthesized commercially
(Integrated DNA Technologies, Coralville, IA). β-actin was used as an external control
standard for each reaction due to its consideration as a constitutively expressed
"housekeeping gene," and the fact that it has been shown to be an appropriate external
reference standard in real-time PCR in human skeletal muscle following acute exercise
(Willoughby, Stout, & Wilborn, 2007).
Real-Time PCR Amplification
Based on previous guidelines (Willoughby & Wilborn, 2006), 200 ng of cDNA
were added to each of the 25 μl PCR reactions using iQ SYBR Green Supermix (Bio-
Rad, Hercules, CA, USA).
Oligonucleotide Primers used for RT-PCR
Anti-Sense Sequence
Each reaction contained the following mixtures: [10x PCR buffer, 0.2 μM dNTP
mixture, 2.0 μM of a cocktail containing both the sense and antisense RNA
oligonucleotide primers, 2 mM MgCL2, 1.0 u/μl of hot-start iTaq DNA polymerase,
SYBR Green I dye, and nuclease-free dH2O], and was amplified using real-time
quantitative polymerase chaine reaction (PCR) (iCycler IQ Real-Time PCR Detection
System, Bio-Rad, Hercules, CA, USA). The amplification profile was run for 40-cycles
employing a denaturation step at 95°C for 30 seconds, primer annealing at 58°C for 30
seconds, and extension at 72°C for 30 seconds. Fluorescence was measured after each
cycle, resulting from the incorporation of SYBR green dye into the amplified PCR
product. To help control for differences in amplification efficiency during
thermocycling, all PCR reactions were each gene were prepared from the same stock
solution. The specificity of the PCR was demonstrated with absolute negative controls
using separate PCR reactions containing no cDNA template or primers. A single gene
product was confirmed using DNA melt curve analysis. The relative expression of
mRNA was assessed by determining the ratio between the CT values of each target
mRNA and the CT values for β-actin for each muscle sample obtained at each of the three
testing sessions. Test-retest reliability of performing this procedure of mRNA expression
on samples in this laboratory has demonstrated low mean coefficients of variation and
high reliability (1.6%, intraclass
r = 0.95).
Qualitative Gene Expression: Gel Electrophoresis Imaging
To verify positive amplification, aliquots (20 μl) of the PCR reaction mixtures
were electrophoresed in 1.5% agarose gels in 1X Tris-Acetate-EDTA (TAE) buffer. As
shown in Figure 2, the gel was stained with ethidium bromide (present in the TAE buffer
at 1 μg/ml) and illuminated with UV transillumination (Chemi-Doc XRS, Bio-Rad,
Hercules, CA, USA). From the left, the molecular weight marker, β-actin, AMPK,
PPARα, PGC-1α, PPARγ, GLUT4, Akt2, AS160 were loaded into the 1.5% agarose gel.
Figure 2. Illustration of PCR amplicons for the mRNA targets for one study participant at all four time points run on a 1% agarose gel. M = base pair marker, 1 = β-Actin, 2 = AMPK, 3 = PPARα, 4 = PGC-1α, 5 = PPARγ, 6 = GLUT4, 7 = Akt2, 8 = AS160.
Dietary Records
In order to assess the average daily macronutrient consumption of fat,
carbohydrate, and protein, the participants were required to keep four-day dietary records
during the supplementation period. The four-day food log consisted of three-week days
and one-weekend day. The dietary records were analyzed with the Food Processor
Dietary Assessment Software program (ESHA Research Inc., Salem, OR).
Reported Side Effects from Supplementation
To determine whether the participants suffered any negative side effects from the
control or experimental supplements, participants reported by questionnaires
administered in a confidential manner whether they tolerated the supplement,
supplementation protocol, as well as reported any medical problems/symptoms they may
have encountered throughout the supplementation period.
Statistical Analysis
For blood and muscle samples taken at baseline, T1, T2, and T3, a 2 x 3 (Group x
Time) factor multivariate analysis of variance (MANOVA) with repeated measures on
the time factor was used to determine differences between groups. Differences between
groups in muscle gene expression at T2 and T3 were determined via a 2 x 2 factorial
MANOVA for repeated measures. Differences between groups in blood variables at T2
were determined via a 2 x 4 factorial MANOVA for repeated measures. Differences
between groups in glucose variable at T3 were determined using a 2 x 4 factoral Analysis
of Variance (ANOVA) for repeated measures. For all MANOVAS and the ANOVA, the
two factors were group (PM or PL) and time. An independent sample t-test was used to
analyze difference in Matsuda Index. Significant differences in mean values for main
effects or interactions were determined by performing independent sample t-tests. The
statistical software Predictive Analytics Software (PASW, formerly SPSS statistics)
version 18.0 was used with an alpha (type I error rate) <0.05 used to determine statistical
The purpose of the present study was to determine whether acute supplementation
with PM
extract would improve fasting glucose levels via the insulin dependent or non-
insulin-dependent signaling pathway at rest, after an oral glucose tolerance test (OGTT),
and after a single bout of exercise at maximal exertion. It also investigated whether acute
administration of PM improved lipid profiles. Since limited studies exist using this
extract in humans and even fewer exist that study the mechanism with which this extract
functions, muscle specific expression of genes involved in glucose disposal, fuel
utilization, and mitochondrial biogenesis were examined.
Participants
Sixteen, sedentary, overweight or obese females, qualified as prediabetic via
handheld glucometer, signed informed consent statements, and were assigned to either a
placebo (PL) or a supplement group (PM), and started experimental testing. Baseline
demographics for the sixteen participants are presented in Table 4. At baseline, there
were no significant differences between groups with regards to age (p = 0.355), height (p
= 0.817), body weight (p = 0.622), percent body fat (p = 0.587), and BMI (p = 0.973).
Supplement Compliance
Participants were provided with a coded opaque envelope containing fourteen
encapsulated cellulose placebo or fourteen encapsulated PM sealed in an airtight plastic
bag. Participants recorded the time of ingestion for each capsule using four-day food
logs. All participants returned with the correct amount of capsules (four) following the
five-day supplementation period. During the second and third testing sessions,
participants were observed ingesting the remaining pills. Therefore, the supplement
compliance rate was considered to be 100%.
Study Participant Demographics
30
± 5.31
28
± 5.66
161.29
± 7.07
162.05
± 5.77
105.19
± 33.3
112.94
± 27.88
40.12
± 10.5
46.81
± 4.84
46.72
± 5.26
46.81
± 4.84
Note: Data are presented as means ± standard deviations
Dietary Analysis
All participants were instructed to consume their usual diet, but were required to
keep a four-day food log during the week of the study. A one-way ANOVA was
performed to assess differences in the groups for daily intake of total calories, fat,
carbohydrate, and protein. There were no significant differences between groups in all
dietary intake variables (see Table 5).
Reported Side Effects and Clinical Chemistry Markers
Reported side effects questionnaires administered at baseline, the second testing
session, and final testing sessions revealed no side effects due to the supplementation. A
2 x 2 (group x time) factorial MANOVA with repeated measures was performed on
clinical chemistry markers of kidney and liver function. The within-subjects factor was
time with two levels (baseline = T1 and immediately before a GXT = T3). The between-
subjects factor was group with two levels (PL or PM). Multivariate analysis did not
reveal significant differences for group (p = 0.915), time (p = 0.921), or for a group by
time interaction (p = 0.616). Data are presented in Table 6 below.
Comparison of Nutritional Intake Variables between PL and PM Groups
2034
± 647.68
1948
± 691.93
Carbohydrates (g)
259
± 89.25
249
± 90.00
79.90
± 35.37
127
± 156.60
73.86
± 21.85
72.70
± 27.81
Note: Data are presented as means ± standard deviations
Blood Variable Analysis
A 2 x 4 (group x time) factorial MANOVA for repeated measures was used to
investigate the effect of the PM supplementation on glucose regulation following OGTT.
A 2 x 4 (group x time) factorial ANOVA was used to investigate the effects of PM
supplementation on glucose regulation following GXT. Follow-up univariate ANOVA
or t-tests were used to investigate differences between individual groups or time points—
a Bonferroni correction was used in these cases. A t-test for independent samples was
used to assess differences in
OGTTISI using the Matsuda index.
Baseline Comparison of Serum Clinical Chemistry Variables between PL and PM
Groups over the Course of the Study
5.22
± 1.55 5.05
± 1.69 6.22
± 1.16 5.76
± 0.69
15.13
± 5.11
17.88
± 12.04 17.50
± 10.11 32.50
± 26.29 28.86
Note: Data are presented as means ± standard deviations.
Baseline Glucose and Insulin Levels
Within-subjects factor was time with three levels (baseline = T1, prior to OGTT =
T2, and prior to GXT = T3), and between-subjects factor was group with two levels (PL
or PM). Machly's test for sphericity was not significant (p > 0.10); therefore, the null
hypothesis and assumed sphericity. No significant differences were found between-
subjects or within-subjects for serum glucose, serum insulin, or HOMA-IR, and no group
by time interactions were present (p > 0.05). Results for glucose, insulin, and HOMA-IR
are displayed in Table 7. Figure 3 shows changes in glucose and insulin over time.
Baseline Comparisons of Serum Glucose, Insulin, and HOMA-IR between PL and PM
Groups over the Course of the Study
Variable Group
Note. Data are presented as means ± standard deviations. All glucose values are expressed as mg/dL. All insulin values are expressed as ulU/mL. HOMA-IR is a ratio number.
Hypothesis one states that serum levels of fasting glucose will decrease further in
the PM group compared to the PL group over the course of the study. While lower levels
of fasting glucose were evident over time, the amount of improvement in PM
was similar
to the PL group, and thus no significance between groups was evident. As such, the null
hypothesis was accepted. However, it is worth noting that while the average blood
glucose levels did not change between groups, the variability appeared to change a
between the groups. The variability improved in the PM group and became larger in the
PL group over time. The SD for the PM and PL groups at T1 were 14.60 and 14.11,
respectively, but by T3 the SD for the PM group was half of the SD for the PL group.
Hypothesis two states that serum levels of fasting insulin will decrease further in the PM
group than for PL group over the course of the study. Conversely, similar increases in
serum insulin levels over time were evident in both PL and PM groups, and thus no
significance between groups was found. As such, the null hypothesis is accepted since
there was no difference between groups for fasting serum insulin. The third hypothesis
predicted that the PM group would have lower HOMA-IR ratios than the PL group. The
PM group showed an increase in HOMA-IR from T1 to T3, but the there was not a
significant change, nor a significant difference from PL. Therefore, the null hypothesis is
Baseline Time Points
Figure 3. Changes in serum glucose are displayed in the top two lines and changes serum insulin are displayed in the bottom two lines. Data are presented as means ± standard deviations.
Baseline Serum Lipid Levels
Serum lipid variables are displayed in Table 8. The within-subjects factor was
time with two levels (baseline = T1 and immediately before a GXT = T3). The between-
subjects factor was group with two levels (PL or PM). Machly's test for sphericity was
significant (p < 0.10), so the alternative hypothesis was accepted and sphericity could not
be assumed. Multivariate analysis revealed no main effect for time, group, or group by
time interaction (p > 0.05) using Huynh-Feldt adjustment.
Comparisons of Serum Lipid Levels between PL and PM
Groups over the Course of the Study
Variable Group T1
Total Cholesterol:HDL
132.88 ± 140.17
Note.
Data are presented as means ± standard deviations. All lipid variables are in mg/dL except total cholesterol:HDL.
Hypothesis eight states that fasting HDL levels will increase to a greater extent in
the
PM group compared to the placebo group over the course of the study. Though
conflicting results were observed with fasting serum HDL levels increasing in the PM
group and decreasing in the PL groups over time, no significant differences were detected
between groups. Thus, the null hypothesis was accepted. The ninth hypothesis states that
fasting serum LDL levels will decrease to a greater extent in the
PM group compared to
the placebo group over the course of the study. No significant changes in serum LDL
levels were detected in either group over time. As such, the null hypothesis was
Assessment of Blood Glucose and Insulin at T2 (OGTT)
Serum glucose and insulin variables are displayed in Figure 4. The within-
subjects factor was time with four levels: prior to OGTT, 30 minutes post-glucose
ingestion, 1 hour post-glucose ingestion, and 2 hr post-glucose ingestion. The between-
subjects factor was group with two levels (PL or PM). Machly's test for sphericity was
significant (p < 0.10) so the alternative hypothesis was accepted and sphericity was not
Multivariate analysis revealed a significant main effect for time (p = 0.000), with
subsequent univariate analysis indicating a significant increase in plasma glucose
(p<0.001) and insulin (p=0.007) levels over time. Pairwise comparison analysis showed
a significant increase in plasma glucose levels from baseline to 30 minutes post-OGTT
(p<0.001) and from baseline to 1 hour post-OGTT (p=0.001) Further, pairwise
comparison analysis also showed a significant increase in plasma insulin levels from
baseline to 30 minutes post-OGTT (p=0.023), baseline to 1 hour post-OGTT (p=0.023),
and baseline to 2 hours post-OGTT (p=0.003). No significant group or group by time
interaction was observed (p > 0.05).
T2 Time Points
Figure 4. Changes in serum glucose are displayed in the top two lines and changes serum insulin are displayed in the bottom two lines. Data are presented as means ± standard deviations. * indicates a significant difference from baseline for glucose. # indicates a significant difference from baseline for insulin.
The fourth hypothesis stated that the PM group would display lower increases in
overall serum glucose levels compared to placebo group during the OGTT. However,
since a significant difference between the groups was not found. The null hypothesis was
accepted. The null hypothesis was also accepted for the fifth hypothesis, which, states
that the PM group would display lower increases in overall serum insulin levels
compared to placebo group during the OGTT. A significant difference was not observed
between the groups
Analysis of Matsuda's Insulin Sensitivity Index (OGTTISI)
Students t-test revealed no significant differences
(p = .986
) between the PL (9.14
± 4.83) and PM
(9.19 ± 5.63) groups. Hypothesis six states that the measure of insulin
sensitivity (OGTTISI) will be higher in the PM group compared to placebo group during
the OGTT. Since no significant difference was found between groups, the null
hypothesis was accepted.
Assessment of Serum Glucose Levels at T3 (GXT)
Figure 5 displays changes in glucose levels prior to, and following, the GXT. The
between-subjects factor was group with two levels (PL or PM). The within-subjects
factor was time with four time points: immediately prior to the GXT, 30-minutes post,
one-hour post, and two hours post-GXT. Mauchly's test of sphericity was not significant
(p
= 0.145). Thus, the test was retained and sphericity was assumed. Univariate analysis
showed a significant main effect for time (p
= 0.007), with no group (p = 0.549) or group
by time interactions (p = 0.923). Subsequent pairwise comparisons using a Bonferroni
correction factor revealed a significant decrease in serum glucose levels from 30-minute
to one-hour post exercise (p = 0.011), and from 30-minute to 2 hours post exercise (p
=
Hypothesis seven states that the PM group will display lower increases in serum
glucose levels compared to the PL group following the GXT. Since no significant
difference was found between groups at any time point, the null hypothesis was accepted.
Figure 5. Changes in serum glucose for PL and PM groups prior to, and following the GXT are displayed. Data are presented as means ± standard deviations. * indicates significantly different from 30 minute glucose levels.
Analysis of Muscle-Specific Genes
Skeletal muscle genes involved in glucose, fatty acid metabolism, and
mitochondrial biogenesis were analyzed in this study. More specifically, the mRNA
expression of Akt2, AMPK, AS160, PPARα, PPARγ, and PGC-1α were determined. A
2 x 3 factorial MANOVA with repeated measures was conducted to evaluate the acute
effects of supplementation on mRNA expression of the above genes at baseline, prior to
OGTT, and prior to GXT. To further elucidate the acute effects of supplementation on the
aforementioned muscle genes, two separate 2 x 2 factorial MANOVA with repeated
measures was conducted prior to, and following an OGTT, and prior to, and following a
mRNA Expression of Muscle-Specific Genes
The within-subjects factor was time with three levels (baseline = T1, immediately
before OGTT = T2, and immediately before a GXT = T3). The between-subjects factor
was group with two levels (PL or PM). Table 9 displays baseline means (SD) at each
baseline time point. Multivariate analysis did not reveal significance for group (p =
0.499), for time (p = 0.904), nor for a group by time interaction (p = 0.537).
Hypotheses 12 through 17 states that skeletal muscle gene expression of Akt2,
AMPK, AS160, PPARα, PPARγ, and PGC-1α would be greater in the PM group
compared to the PL group over the course of the study. However, no significant
differences were found between groups. As such, the null hypothesis was accepted for
hypotheses 12 through 17.
Muscle-Specific Gene Expression at T2 (OGTT)
The within-subjects factor was time with two levels (immediately before
glucose ingestion = T1 and one-hour post-glucose ingestion = T2). The between-subjects
factor was group with two levels (PL or PM). Multivariate analysis revealed a significant
difference for time (p = 0.006), but did not reveal significance for a group effect (p =
0.693) or for a group by time interaction (p = 0.444). Univariate results were then further
analyzed to determine which variables were significant. Mauchly's test (p = 0.000) for
sphericity was retained, and sphericity was not assumed. A Huynh-Feldt adjustment was
used. Univariare analysis revealed a significant increase in Akt2 (p = 0.001), AMPK (p =
0.001), AS160 (p = 0.02), and PPARα (p = 0.025) at one-hour post-OGTT.
Baseline Comparisons of Muscle mRNA Expression of Genes between PL and PM
Groups over the Course of the Study
Note. Data are presented as means ± standard deviations. All data is expressed as the ratio between the variable of interest and the internal standard (β-Actin).
Hypotheses 18 through 23 states that expression for muscle genes Akt2, AMPK,
AS160, PPARα, PPARγ, and PGC-1α will be greater in the PM group compared to the
PL group following the OGTT. However, no significant differences were found between
groups. As such, the null hypotheses were accepted for hypotheses 18 through 23. Table
10 displays changes for muscle gene expression prior to and one-hour post-glucose
ingestion for both PL and PM groups.
Muscle-Specific Gene Expression at T3 (GXT)
Data for muscle gene expression across GXT is presented in Table 11. The
within-subjects factor was time with two levels (immediately before GXT = T1 and one-
hour post-GXT = T2). The between-subjects factor was group with two levels (PL or
PM). Multivariate analysis revealed a strong trend for group (p=0.061). No main effect
for time (p = 0.143) or group by time (p = 0.969) interaction was detected.
Hypotheses 24 through 29 states that expression for will be greater for PM group
compared to the PL group following the graded exercise test GXT. The null hypotheses
for 24 through 29 were accepted, as significance was not observed between the groups.
Comparisons of Muscle mRNA Expression of Genes between PL and PM
Groups prior to, and following, OGTT
Note. Data are presented as means ± standard deviations. All data is expressed as the ratio between the variable of interest and the internal standard (β-Actin). * indicates significant time effect.
Comparisons of Muscle mRNA Expression of Genes between PL and PM
Groups prior to, and one-hour following, GXT
Note. Data are presented as means ± standard deviations. All data is expressed as the ratio between the variable of interest and the internal standard (β-Actin).
Discussion
The primary purpose of the current study was to examine the acute effects of
Pterocarpus marsupium plant extract on blood lipid profiles and insulin resistance in
overweight and obese, pre-diabetic, sedentary women. There were three additional aims
of the study. First, to determine if an acute five-day ingestion of PM would enhance
insulin-mediated glucose disposal up to 2 hours following an OGTT. Second, to
determine if an acute six-day ingestion of PM would enhance exercise-mediated glucose
disposal up to 2 hours following an aerobic exercise bout. Finally, to understand the
mechanisms by which PM supplementation may elicit effects within the muscle, the
expression of genes involved in insulin and non-insulin dependent glucose disposal and
substrate metabolism was determined.
The major finding of the current study was that acute PM supplementation of 250
mg twice daily was unable to improve blood lipid levels, insulin sensitivity, and both
insulin- and exercise-mediated glucose disposal in overweight, prediabetic sedentary
women. Since statistical analysis failed to support any of the alternative hypotheses set
forth prior to study commencement, all null hypotheses were accepted. Despite no
significant effects from PM supplementation, several conclusions can be drawn from the
results of the study and will be discussed under the following headings: assessment of
glucose pathology, acute effects of PM supplementation on blood lipid profiles and
insulin resistance,
acute effects of PM supplementation on insulin-mediated glucose
disposal and acute effects of PM supplementation on exercise-mediated glucose disposal.
Assessment of Glucose Pathology
Fasting glucose values greater than 100 mg/dL were an inclusion criterion for the
study. Every participant met this criterion when capillary blood was tested with a
glucometer on two separate occasions. Some participants had values lower than 100
mg/dL on one occasion but given the reported variation of precision testing of the
glucometer (2.9% to 5.1%) they were allowed into the study. Research also indicated
that capillary glucose could be 10–15 mg/dL lower than venous glucose samples. The
mean glucometer reading for PL was 105.63 ± 9.44 mg/dL for the first reading and
103.60 ± 13.83 mg/dL for the second reading. The mean glucometer reading for PM was
107.43 ± 9.47 mg/dL for the first reading and 109.50 ± 15.87 mg/dL for the second
reading. Using the glucometer measurements, all participants qualified as having
impaired fasting glucose. However, later, baseline serum glucose levels were later
independently analyzed by Quest Diagnostics (Dallas, TX.), only seven of the sixteen
participants actually had impaired fasting glucose. Of those seven participants, three
were in the PL group and four were in the PM group,
with one participant from each
group having a fasting glucose level exceeding 126 mg/dL (i.e. diabetic),
even though the
diagnosis of diabetes was an exclusionary criterion for this study. Four participants, two
from each group, had two-hour post-OGTT values that exceeded 140 mg/dL, which is the
diagnostic criterion for impaired glucose tolerance.
Acute Effects of PM Supplementation of Blood Lipid Profiles and IR
Pterocarpus marsupium has been used in Ayurvedic medicine for several
centuries to treat hyperglycemia and to lower lipid levels.
Pterocarpus marsupium and
extracts of the compound have been shown to lower lipid levels in a manner similar to
that of TZDs and fibrates (Anandharajan et al., 2005; Jahromi & Ray, 1993; Mizuno et
al., 2008; Rimando et al., 2005). Similarly, studies in murine models and humans have
been shown to reduce levels of elevated blood glucose (Grover et al., 2002; Grover et al.,
2005; Kar et al., 2003; Kedar & Chakrabarti, 1981; Mukhtar et al., 2005; ICMR, 1998).
However, this study contradicts previous findings that PM supplementation improves
lipid and/or glucose levels. Failure to improve lipid levels and/or lower levels of blood
glucose with PM supplementation could be due to factors such as dosage and/or
supplement duration.
Studies showing improvement in fasting lipid and/or glucose levels in murine
models implemented PM dosages ranging from 250 mg/kg (Kar et al., 2003) to 1 g•kg-
1•day-1 (Grover et al., 2002), whereas in diabetic human studies, dosages ranged from 2
g/day to 4 g/day (ICMR, 1998). The Sabinsa Corporation suggests dosages of 450 to
500 mg should be effective at improving hyperglycemia and lipid levels, based on limited
previous research examining COX-2 (an enzyme involved in inflammation and pain)
inhibition following 450 mg of PM supplementation in healthy human volunteers
(Hougee et al., 2005). Since, the current study was novel in using this particular
supplement in unhealthy humans, it was prudent to continue to stay within manufacturer
guidelines. Duration of the supplementation period could also explain the non-significant
effects of PM supplementation on lipid and/or glucose levels in the present study.
Previous studies reporting improvement in lipid levels and/or fasting glucose following
PM supplementation were longer in duration than the present study, in which, seven days
was implemented. Studies using hamsters and rats showed improved blood glucose levels
in as little as one week (Kar et al., 2003). One study in newly diagnosed Type II diabetic
humans reported improvements in glucose levels during a 12-week trial of PM
supplementation using 2 – 4 g/day (ICMR, 1998). Fasting and postprandial glucose
levels were assessed every four weeks. Both fasting and postprandial glucose levels were
reduced at four weeks in most patients (ICMR, 1998). Improvement in blood glucose
levels was observed in as little as 2 weeks in a study that recruited 10 patients with
hyperglycemia, but not diabetes (Kedar & Chakrabarti, 1981). Patients were given water
stored that had been stored in a PM heartwood container for one month, however,
concentrations of PM could not be determined (Kedar & Chakrabarti, 1981). Differences
between findings using PM in these two studies may have been due to the population
being studied and/or the concentration of PM administered in the study. Whether dosage
and/or duration of supplementation utilized in the current study accounts for why blood
lipids and glucose levels were unaffected requires further investigation.
Acute Effects of PM Supplementation on Insulin-mediated Glucose Disposal
The responses in glucose and insulin after the OGTT were not surprising as the
purpose of the OGTT (consuming 75 g of glucose) was to observe an increase in
circulating plasma glucose and the subsequent increase in insulin levels to assess the
ability of insulin to clear glucose from circulation. Serum glucose levels significantly
increased from baseline to 30 minutes post-glucose ingestion and remained elevated
above baseline at the two-hour time point. A similar response was also observed for
insulin, which increased above baseline measurements and remained elevated up to two
hours post-glucose ingestion. The response for glucose in the current study fell between
the responses observed in participants that demonstrated normal glycemic handling and
those that displayed impaired glucose tolerance in (Matsuda and DeFronzo, 1999) and
(Morino et al. 2005). Our findings are more than likely a representation of the population
used since heterogeneous fasting glucose levels were present in the current study
compared to being distinctly IR or normal as reported by Matsuda and DeFronzo (1999)
and Morin et al. (2005). The response in insulin over time was similar to that observed
by others (Matsuda & De Fronzo, 1999; Morino et al., 2005). Although the maximum
insulin levels were not quite as high in this study compared to those reported for
individuals with normal or impaired glucose tolerance (Matsuda & DeFronzo, 1999), the
insulin levels were similar to those observed in controls in a study examining IR in
children of type II diabetics (Morino et al., 2005). The discrepancies observed between
Matsuda et al. (Matsuda & DeFronzo, 1999) and (Morino et al., 2005) are unclear as both
studies used a 75 g glucose dose for the OGTT.
HOMA-IR and OGTT was used in the current study to determine whether PM
improved insulin sensitivity compared to the cellulose PL group. The purpose of the
HOMA-IR calculation was to assess insulin and glucose in a fasted state, which is
essentially governed by communication between insulin, glucagon, and hepatic glucose
production. An OGTT was employed to assess whole body (hepatic and peripheral)
differences in insulin sensitivity between the groups. It was believed that five days of
supplementation with PM would provide enough improvement in glucose regulation to
observe a difference in groups following an OGTT. Since acute PM supplementation did
not have a significant impact on serum insulin and/or glucose levels over time, it was not
surprising that whole body differences in insulin sensitivity were similar between groups.
Failure to observe an improvement in whole body insulin sensitivity, as assessed by the
OGTT, may be due to a limitation in study design. An OGTT testing session at baseline
may have provided benefit to the study, allowing for better comparison in improvement
in whole body insulin sensitivity over time.
Skeletal muscle mRNA expression of Akt2, AMPK, AS160, and PPARα
significantly increased from baseline to one-hour post OGTT. It is well established that a
key action of insulin is to stimulate glucose uptake into cells by inducing translocation of
the glucose transporter, GLUT4, to the plasma membrane. Binding on insulin to its
receptor leads to phosphorylation of its downstream targets PI3K and AKT, which are
known to play a role in GLUT4 translocation (Lizcano & Alessi, 2002; Saltiel & Kahn,
2001). Furthermore, the specific activation of Akt and AS160 has been observed in IR
and first-degree relatives of Type II diabetics (Karlsson, Ahlsen, Zierath, Wallberg-
Henriksson, & Koistinen, 2006). The function of AS160 in insulin-mediated GLUT4
translocation is linked to its interaction with a novel binding partner, 14-3-3 (Ramm et
al., 2006). It has been demonstrated that 14-3-3 interacts with AS160 in an insulin- and
Akt-dependent manner via the Akt Thr642 phosphorylation site (Ramm et al., 2006), and
potentially this interaction may lead to dissociation of AS160 from the Glut4 storage
vesicles. Recently, Howlett et al. (2007) supported the physiological role of 14-3-3 by
demonstrating an increase in its binding capacity of AS160 following an increase in
insulin in human skeletal muscle.
To the author's knowledge, no studies have examined the effects on insulin
directly on skeletal muscle mRNA gene expression of Akt2, AMPK, AS160, and PPARα
following acute insulin response. Since Akt2 and AS160 mRNA levels increased in
response to insulin, it can be speculated that both Akt2 and AS160 proteins would also
increase as both are directly involved in the insulin-mediated glucose transport. Indeed, in
the present study, insulin increased in response to glucose ingestion. But more
importantly, serum glucose levels gradually declined following the OGTT, indicating that
the rise in insulin-stimulated glucose transport via insulin binding to the insulin receptor.
Given the lack of research in this area, further research is clearly warranted to understand
changes at the molecular level following an acute insulin response.
As mentioned previously, a significant increase in AMPK and PPARα gene
expression was also observed. Although it may seem counter intuitive, since AMPK and
PPARα are involved in non-insulin dependent signaling and fatty acid metabolism, the
observed increased expression of mRNA in these genes could be due to decreased levels
of circulating FFA in circulation. The AMPK and PPARα genes are regulated by various
stimuli such as diet (Muoio & Koves, 2007; Yeo et al., 2008), exercise (Lee-Young,
Canny, Myers, & McConell, 2009; Watt, Southgate, Holmes, & Febbraio, 2004), and
sleep (Chikahisa, Fujiki, Kitaoka, Shimizu, & Sei, 2009; Shirai, Oishi, Kudo, Shibata, &
Ishida, 2007). A stimulus pertinent to post-OGTT activation of these genes may have to
do with FFA uptake. In a recent study to understand FFA kinetics, normal weight
participants, obese participants, and obese diabetic participants were subjected to an
OGTT with glucose, insulin, and FFA measured before and after glucose ingestion
(Boston & Moate, 2008). The study determined the effects of gender, activity, and body
mass index on FFA clearance. In every group, FFA increased immediately following
glucose ingestion, but by one-hour post ingestion, FFA levels had declined to well below
fasting levels (Boston & Moate, 2008). In order for FFA to be cleared from circulation,
the FAs would have to be taken up, which in skeletal muscle would mean an increase in
activity of proteins such as CD36, Acyl-CoA, and CPT. In skeletal muscle, CD36 is
responsible for the uptake of FFA, while Acyl-CoA and CPT are for their transport into
the mitochondria (Long et al., 2005). It was recently shown that in the presence of
glucose there is an increase in FFA oxidation and storage and activation of AMPK in
glycolytic skeletal muscle (Fosgerau et al., 2006). In addition, AMPK is thought to
regulate FA oxidation via PPARα (Lee et al., 2006). Initially, FFA levels were to be
assessed in this study, but due to funding constraints their assessment was not prioritized.
As such, while the above points are plausible the effect of FFA clearance is speculative,
and more research needs to be done.
Acute Effects of PM Supplementation on Exercise-Mediated Glucose Disposal
In the present study, increases in blood glucose levels after the GXT were
expected in both the PL and PM groups as the liver is releasing glucose to meet the
demand of the exercise bout (i.e. uptake of glucose elsewhere). Findings in the current
study contradict those reported for the glucose response to a GXT in active, non-obese
and sedentary, moderately-obese men (White, Ismail, & Bradley, 1978). During exercise
in the active group, mean glucose concentration increased, non-significantly, with a
steady increase as exercise intensity increased, and then increased significantly during
recovery (White et al., 1978). In the sedentary group glucose declined during the GXT
and increased during recovery (White et al., 1978). Differences in results between the
current study and that using the cycle ergometer were more than likely due to type of
GXT that was performed. The GXT on the cycle ergometer involved a 10-minute low
intensity warm-up prior to the incremental increase in intensity. Additionally, the GXT
on the cycle ergometer was stopped once HR reached 160 bpm. This corresponded to
92% and 88% predicted VO2Max for the active, non-obese and sedentary, moderately
obese men, respectively (White et al., 1978). The GXT on the cycle ergometer was not a
true maximal GXT, thus maximal exertion was not achieved for either the active, non-
obese or sedentary, moderately obese men. Additionally, the average length of the GXT
in the current study (7.5 minutes and 6.7 minutes for the PL group and PM group,
respectively) was shorter than the warm-up time of the GXT on the cylce ergometer used
in active, non-obese and sedentary, moderately obese men (White et al., 1978).
Therefore, the women in the current study performed at higher intensities, but for much
shorter duration. It is worth noting that an increase in circulating glucose post-exercise,
as observed this study, is not entirely surprising. At high intensities such as those that
occur during maximal exercise tests, hepatic glucose production is greatest (Wahren,
Felig, Ahlborg, & Jorfeldt, 1971) and often exceeds muscle uptake (Kjaer, 1998). This
phenomenon was observed in the current study with a subsequent decline in circulating
The significant decline in glucose levels observed after exercise was likely a
result of continued glucose uptake by peripheral tissues while hepatic glucose production
declined after exercise ceased. This was also an expected observation as increased post-
exercise glucose uptake is expected after acute bouts of high intensity (> 85% VO2max)
exercise (Koshinaka, Kawasaki, Hokari, & Kawanaka, 2009). It has been previously
thought that this is due to increased insulin sensitivity, but it may actually be due, in part,
to increased insulin responsiveness (Holloszy, 2005) as well as the continued increase in
non-insulin dependent mechanism such as increased AMPK (Fisher et al., 2002; Jessen et
al., 2003) and AS160 (Dreyer et al., 2008) after exercise. While increased insulin
sensitivity is a decrease in the insulin concentration needed to cause half of the maximal
response, increased insulin responsiveness is an increase in glucose disposal due to a
maximally effective concentration (Holloszy, 2005). In other words, increased insulin
responsiveness is when a greater amount of glucose is taken up into the cell at the same
relative amount of insulin stimulus as before exercise. Regardless of whether the post-
exercise glucose response observed in the current study can be explained, further research
needs to be carried out to investigate the glucose response to in overweight and obese
sedentary women.
Study Implications and Future Research Needs
Results in this study suggest that acute supplementation with 250 mg twice daily
of PM, sold under the name Silbinol®, does not improve insulin sensitivity or fasting
lipid levels. Serum glucose and insulin increased in response to ingesting 75 g of glucose,
as did skeletal muscle mRNA expression of Akt2, AMPK, AS160, and PPARα.
Additionally, it was the observed that serum glucose levels briefly increased then
significantly decreased after a brief, maximal exertion bout of exercise.
A number of limitations existed in the current study. These included: small
sample size, varying degrees of participant insulin sensitivity, dosage and purity of
supplement, and length of the study. All limitations may have potentially contributed to
the limited significant findings in this study. Before future studies are performed, these
limitations need to be addressed. Power calculations performed prior to beginning the
study predicted a power of .80 could be obtained with only six participants per group.
Therefore, it was assumed that eight participants would be sufficient. However, the small
sample size probably increased type II error, hence, failing to reject a null hypothesis
when it is in fact not true. Additionally, the range of fasting glucose levels makes it
difficult to infer any observations to the pre-diabetic population, as was initially intended,
and likely caused undue variability in the findings. The decision to use some participants
that had values lower than 100 mg/dL on one occasion, as measured by a handheld
glucometer, was based on the error of the glucometer, which was < 5.1%. Thus, a sample
that would read 96 mg/dL on the glucometer could be 92 mg/dL, or it could very well be
100 mg/dL. According to glucometer readings all participants would have qualified as
having impaired fasting glucose on at least one occasion, but research shows that
glucometers may be less sensitive to fasting blood glucose values (Marley et al., 2007).
Future studies seeking to use a classification of pre-diabetic as an inclusion criterion
should attempt to utilize serum or plasma glucose levels instead of capillary glucose
measures via glucometer readings. However, funding was also a limitation as more
blood draws increases study cost. The use of a glucometer in this study was a means to
reduce study costs.
Additionally, the dosage of PM may have been problematic. Future studies
should seek to use larger dosages as the 500 mg/day dosage in this study did not result in
significant changes in the chemical safety panel. Much larger doses may be feasible as a
recent study comparing cardiotonic effects of aqueous extracts of PM to digoxin showed
that while digoxin was fatal at 0.5 mg/ml, PM was not fatal until 4 mg/ml (Mohire,
Salunkhe, Bhise, & Yadav, 2007). Additionally, the original intension was to use
pterostilbene isolated from the plant
Pterocarpus marsupium, but the product sent to use
by the Sabinsa Corporation contained only 5.4% pterostilbene. Attempts to find other
sources of pterostilbene resulted in high-grade pterostilbene that was either too expensive
or not for human consumption. As such, the study was carried out using
Pterocarpus
marsupium extract that is sold under the name Silbinol®. Other studies using
Pterocarpus marsupium need to be carried out using a larger sample size, a longer time
frame, and a standardized diet between groups. Though the changes in fasting glucose,
HDL, LDL, and triglycerides were not significant, the change in each variable in the PM
group displayed an improved lipid profile that may have been significant given a larger
sample size or a longer study.
Finally, given recent interest into PGC-1α, future studies should explore the
paradoxical role of muscle mitochondrial function and insulin-stimulated muscle glucose
metabolism in human pre-diabetic and diabetic populations. Recently it has been
suggested that under normal physiologic conditions of exercise, PGC-1α induces a
coordinated program of increased energy delivery and increased mitochondrial
biogenesis and fatty acid oxidation to meet the increased energy demands of working
skeletal muscle. In contrast, in a non-exercising muscle (as seen in the current study) this
coordinated program may result in a mismatch between increased fatty acid uptake and
that of mitochondrial fat oxidation, resulting in a net increase of intramyocellular fat and
diacylglycerol content and insulin resistance (Choi et al., 2008). Choi and colleagues
(2008) fed a high fat diet to transgenic mice over expressing muscle specific PGC-1α for
3 weeks (Choi et al., 2008). The PGC-1α transgenic mice displayed increases in
mitochondrial density and oxidative phosphorylation-related genes (Choi et al., 2008),
but when fed a high fat diet, these mice became insulin resistant compared to wild-type
mice fed the same high-fat diet. Neither group was allowed to exercise; therefore, the
increase in PGC-1α was not due to normal physiological function. Choi et al. (2008) also
observed that, per unit of mitochondrial mass, there was a partial down-regulation of
mitochondrial activity. Furthermore, a recent study of lipid induced insulin resistance,
similar to what occurs with inactive individuals on a high-fat diet, suggested that the
presence of larger quantities of intramuscular triglycerides may actually lead to increased
fatty acid usage as a fuel (Koves et al., 2008), which would mean increased PGC-1α
expression in the absence of improved metabolic flexibility. Indeed in the current study,
an increase in PGC-1α gene expression was observed in the placebo group over time,
though not statistically significant. Taken together, whether increase in markers of
oxidative phosphorylation and/or mitochondrial biogenesis in the absence of increased
glucose disposal and insulin responsiveness leads to mitochondrial distress clearly
warrants further investigation.
Conclusions
Findings from the current study suggest that acute supplementation with 250mg
twice daily of PM, sold under the name Silbinol®, does not improve insulin sensitivity or
lipid levels. Supplementation with PM may still reduce hyperglycemia and
hyperlipidemia, but a larger dose may be necessary to provide such benefit. A few
findings in this study were novel. To the authors' knowledge this is the first study to
report an increase in skeletal muscle mRNA expression of Akt2, AMPK, AS160, and
PPARα in response to ingesting 75 g of glucose. While increased expression of Akt2
and AS160 skeletal muscle mRNA should be expected after an OGTT, the findings of
increased expression AMPK and PPARα skeletal muscle mRNA after ingestion of
glucose in a situation where plasma FFA are increased (i.e. a fasting state or after
exercise), could hint at why the increased presence of intramuscular is observed in people
with people lipotoxicity and endurance trained athletes (van Loon & Goodpaster, 2006).
An additional finding that was novel in this study was the observed increase and
subsequent significant decrease in serum glucose levels after a brief, maximal exertion
bout of exercise. While novel, this finding is not particularly concerning as circulating
levels of glucose remained within in healthy fasted ranged (60 – 100 mg/dL). If anything
this provides further evidence for the use of exercise to help maintain healthy circulating
levels of glucose. However, caution must be exercised when inferring findings of this
study, as not all participants were actually pre-diabetics. Since this study presents several
novel findings, more research needs to be conducted in a population of obese or
overweight females with elevated fasting glucose levels below the pre-diabetic level.
Personal Demographic Form
Baylor University
Exercise & Sport Nutrition Laboratory
Personal Information Name: Address: City: State: _ Zip Code: _ SS# _ Home Phone: ( ) _ Work Phone: ( ) _ Beeper: ( ) Cellular ( ) _ Fax:: ( ) email address: _ Birth date: _ / _ / _ Age: _ Height: _ Weight: Exercise History/Activity Questionnaire
1. Describe your typical occupational activities.
2. Describe your typical recreational activities.
3. Describe any exercise training that you routinely participate.
4. How many days per week do you exercise/participate in these activities?
5. How many hours per week do you train?
6. How long (years/months) have you been consistently training?
Medical History Inventory
BAYLOR UNIVERSITY
EXERCISE & SPORT NUTRITION LABORATORY
Directions. The purpose of this questionnaire is to enable the staff of the Exercise and Sport Sciences Laboratory to evaluate your health and fitness status. Please answer the following questions to the best of your knowledge. All information given is CONFIDENTIAL as described in the Informed Consent Statement. Name: Age _Date of Birth _ Name and Address of Your Physician: _ MEDICAL HISTORY Do you have or have you ever had any of the following conditions? (Please write the date when you had the condition in blank). Heart murmur, clicks, or other cardiac findings?
Asthma/breathing difficulty?
Frequent extra, skipped, or rapid heartbeats?
Bronchitis/Chest Cold?
Chest Pain of Angina (with or without exertion)? Cancer, Melanoma, High cholesterol?
Stroke or Blood Clots?
Diagnosed high blood pressure?
Emphysema/lung disease?
Heart attack or any cardiac surgery?
Epilepsy/seizures?
Leg cramps (during exercise)?
Rheumatic fever?
Chronic swollen ankles?
Varicose veins?
Frequent dizziness/fainting?
Muscle or joint problems?
High blood sugar/diabetes?
Liver or kidney disease?
Thyroid Disease?
Autoimmune disease?
Low testosterone/hypogonadism?
Psychological Disorders?
Do you have or have you been diagnosed with any other medical condition not listed? Please provide any additional comments/explanations of your current or past medical history. Please list any recent surgery (i.e., type, dates etc.).
List all prescribed/non-prescription medications and nutritional supplements you have taken in the last 3 months. What was the date of your last complete medical exam? Do you know of any medical problem that might make it dangerous or unwise for you to participate in this study (including strength and maximal exercise tests) If yes, please explain: _ Recommendation for Participation No exclusion criteria presented. Subject is cleared to participate in the study. Exclusion criteria is/are present. Subject is not cleared to participate in the study. Signed: _ Date:
Application to the Baylor IRB
For Review of Research/Activity Proposal
Part 1: Signature Page
Matthew Cooke, PhD
2. Email Address (optional)
[email protected]
3. Complete Mailing Address P.O. Box 97313
4. Position Assistant Professor
5. Faculty Advisor (if researcher is Graduate Student)
6. Department/School HHPR/SOE
7. Telephone # x4025 FAX #
8. Are you using participants in research (
Y or N) or in teaching exercises (Y or
N)?
9. Title of the research project/teaching exercise:
Effects of Resveratrol and Pterostilbene Supplementation on Insulin and Exercise-Mediated Signaling Pathways for Glucose Uptake in Overweight Insulin-Resistant Females: A Double-Blind, Clinically-Controlled Study
10. Please return this signed form along with all the other parts of the application and
other documentation to the University Committee for Protection of Human Subjects in Research; Dr. Matt Stanford, Chairman, Department of Psychology and Neuroscience, Baylor University, P.O. Box 97334, Waco, Texas 76798-7334. If you have questions, or if you would like to see a copy of the OHRP Report on protection of human subjects in research, contact Dr. Stanford at extension 2961.
_11/26/08 Signature
Signature of Faculty Advisor (required if researcher is a Graduate Student)
Departmental Review: _ Department Chair or the Chair's Designate
Part 2: Introduction & Rationale
Type II diabetes mellitus is a critical health concern that has tripled in prevalence over the past 25
years, with 24.1 million Americans (8% of the population) suffering from this condition in 2007
(3). This condition is typically preceded by an initial insulin resistant state where the insulin-
responsive cells in the body do not appropriately react to circulating insulin, which results in an
increase in blood glucose levels and disturbances in fatty acid metabolism. Insulin serves to
lower blood glucose levels via an insulin-signaling pathway within adipocytes and muscle cells
that result in translocation of the GLUT4 glucose transporter to the cell membrane. The first line
of defense to prevent the development or further progression of Type II diabetes mellitus is
lifestyle change. Of particular importance is losing weight, increasing physical activity, and
modifying diet to an anti-atherogenic type diet (2, 4, 13).
Insulin binding is the primary stimulus for glucose uptake in muscle cells and adipocytes at rest
or after a meal. Glucose, however, is taken up into muscle cells during moderate to intense
exercise via insulin-independent signaling pathways. Insulin-mediated glucose uptake proceeds
via the phosphatidylinositol 3-kinase (PI3-K) pathway and phosphorylation of protein kinase B
(PKB; Akt) and Akt Substrate of 160 kD (AS160). Glucose uptake into muscle cells during
moderate to intense exercise, however, is mediated by insulin-independent signaling pathways,
likely via activation of AMP-activated protein kinase (AMPK). AMPK, which responds to
increases in adenosine monophosphate (AMP):adenosine triphosphate (ATP) ratio during
exercise (particularly at higher intensities), serves to phosphorylate AS160 and relieve the
GLUT4 sequestration to its intracellular storage site and facilitate its translocation to the plasma
membrane. Additionally, AMPK has also been shown to increase insulin sensitivity by
phosphorylating specific serine residues on the insulin receptor. Recent evidence points to a
convergence between the insulin and contraction-mediated signaling pathways at AS160;
however this concept requires further
in vivo research. (11).
In addition to weight reduction and physical exercise, dietary adjustments are also essential to
lifestyle modifications recommended for obese or diabetic individuals. Included in these
recommended dietary changes is increased intake of fruits and vegetables. Fruits and vegetables
are important dietary components that can provide beneficial antioxidants and phytonutrients.
Resveratrol and pterostilbene are two such phytonutrients that are found in high concentrations in
red wine and a variety of plant sources such as grape skin, berries, pomegranates, and peanuts
(10, 12). Over the past 5 years, research into these 2 botanical compounds has expanded, with
benefits from supplementation including: improved insulin sensitivity, weight loss,
cardioprotection, cancer growth inhibition, and decreased mortality. Although interest in such
compounds has increased, limited research has examined their purported effects in humans. In
particular, the mechanism by which both supplements are said to improve insulin-sensitivity, by
enhancing GLUT4 translocation, requires further investigation. A few studies have suggested that
improved insulin-sensitivity from resveratrol and pterostilbene supplementation is similar to that
of metformin (a commonly used drug to treat Type II diabetes); enhancing GLUT4 translocation
via AMPK stimulation (12). However, more research is needed to confirm such observations.
Additionally, exercise also stimulates GLUT4 translocation, albeit via insulin-independent
mechanisms. Administration of resveratrol and pterostilbene could provide a synergistic
enhancement of glucose uptake during exercise, but more importantly, continue to stimulate
glucose uptake after exercise.
The primary purpose of this study is to determine the effects of two polyphenolic (resveratrol or pterostilbene) supplements on glucose/insulin kinetics and markers of inflammation at rest and following an exercise bout. Further, the study will also determine the effects of prolonged polyphenolic supplementation on markers of the metabolic syndrome. In so doing, this study will involve three specific aims: Specific Aim 1: To determine the acute (4 days) and chronic (8 weeks) effects of pterostilbene and resveratrol supplementation on A) glucose/insulin kinetics (serum glucose, insulin) as determined by an oral glucose tolerance test (OGTT), B) skeletal muscle expression of genes involved in GLUT4 translocation (GLUT4, AMPK, AS160, Akt), C) serum levels of other relevant hormones (estrogen, leptin, adiponectin, cortisol), and D) serum and whole blood analyses for general clinical safety markers will be assessed. Specific Aim 2: To determine the acute (5 days) and chronic (8 weeks) effects of pterostilbene and resveratrol supplementation on A) glucose/insulin kinetics (serum glucose, insulin), B) plasma inflammatory markers (TNF-α, CNTF, IL-6, IL-16), C) lipid peroxidation, and D) skeletal muscle expression of genes involved in GLUT4 translocation (GLUT4, AMPK, AS160, Akt, aPKC, CAMK, PPARα,γ,δ) prior to and following an exercise bout. Specific Aim 3: To determine the effects of 4 weeks and 8 weeks of polyphenolic supplementation in conjuction with an exercise training program on A) serum lipid profiles, B) muscle markers of lipid metabolism (ACC, CPT1) clinical safety markers (HR, BP, complete serum metabolic panel), C) gene expression of NF-kB, SIRT1, and PPARα,γ,δ D)body composition, E) waist circumference, F) resting energy expenditure, and G) cardiopulmonary fitness.
Part 3: Methodology
Participants Approximately 45 sedentary, overweight, pre-diabetic [fasting plasma glucose: 100-125mg/dL (6)] premenopausal females between 18 and 35 years of age, will be recruited for this study. Participants will be declared sedentary if they have not exercised for 30 minutes a day at least 5 days a week for a year or more. Additionally, oral contraceptives appear to reduce glucose tolerance by reducing peripheral tissue insulin sensitivity. Since oral contraceptives may increase glucose intolerance, all participants will be women who have not taken oral contraceptives for at least two months. Prior to participation in the study, all potential participants must provide written physician approval. Participants who qualify for the study will be cleared for participation by successfully completing a series of health screening examinations (i.e., health screening questionnaire, blood pressure assessment, fasting glucose assessment) by qualified research staff members. All participants will not be allowed to participate if they meet any of the following criteria: 1) have current or past history of anabolic steroid use; 2) have any metabolic disorders including known electrolyte abnormalities; heart disease, arrhythmias, diabetes, thyroid disease or hypogonadism; a history of medically controlled hypertension, hepatorenal, musculoskeletal, autoimmune, or neurologic disease; if they are taking thyroid, hyperlipidmeic, hypoglycemic, anti-hypertensive, or androgenic medications; 3) have ingested any ergogenic levels of creatine, HMB, thermogenics, ribose, pro-hormones (i.e., DHEA, androstendione, etc.) or other purported anabolic or ergogenic nutritional supplements for a 2-month time period prior to beginning the study; 4) do not take any additional nutritional supplement or contraindicated prescription medication during the protocol. All participants meeting entrance criteria will sign informed
consent statements in compliance with the Human Participants Guidelines of Baylor University and the American College of Sports Medicine. Study Site
All exercise sessions will be supervised by qualified individuals and will take place at the Student Life Center or at Russell Gymnasium at Baylor University or at the WRS Athletic Club. The majority of the training sessions will take place at Russell Gymnasium and will be supervised by National Strength and Conditioning Association (NSCA) – Certified Strength and Conditioning Specialists (CSCS). Testing sessions will be conducted in the Exercise & Sport Nutrition Laboratory (ESNL) and the Exercise & Biochemical Nutrition Laboratory (EBNL) in the Department of Health, Human Performance, and Recreation at Baylor University.
Independent and Dependent Variables Table 1 shows the general research design and time course for assessments. The independent variables will be physical activity, diet, nutritional supplementation, subject's age, and the number of testing/evaluation times during the study. Dependent variables will include body composition measurements (body weight, whole body DEXA scans and total body water), resting energy expenditure and respiratory quotient, maximal oxygen consumption, fasting whole blood and plasma analysis, inflammatory and anti-inflammatory cytokine measures, lipid metabolism status, muscle protein and gene expression measures, serum clinical safety markers, uric acid, triglycerides, total cholesterol, low-density lipoprotein, high-density lipoprotein, resting blood pressure and heart rate, and estimated energy intake.
Entry Participants expressing interest in participating in this study will be interviewed on the phone to determine whether they appear to qualify to participate in this study (Please refer to Selection Criteria listed below). Participants believed to meet eligibility criteria will then be invited to attend an entry/familiarization and baseline session.
Familiarization Session/Baseline Testing/Pre-Supplementation (Day 1- T1) Participants will be instructed to refrain from exercise for 24 hours and fast for 12 hours prior to pre-testing and for all scheduled assessments. Upon reporting to the lab, participants will complete questionnaires regarding exercise habits and health status (Symptoms Inventory). All participants will report to the lab in the morning for all scheduled assessments. Fasting blood glucose will initially be assessed using a OneTouch® glucometer (Lifescan, Inc.) to ensure that they are prediabetic (glucose: 100-125mg/dL [6]). Participants meeting entry criteria will be familiarized to the study protocol by way of a verbal and written explanation outlining the study design. After meeting all inclusion criteria, familiarization of the study, and signing of the informed consent, participants will then begin baseline testing. Resting energy expenditure (REE) will be determined by analysis of the gases expired by the participant while resting in a supine position (Parvo Medics, Provo, UT). Total body mass (kg), total body water (total, intracellular, and extracellular), percent body fat, fat mass, and fat-free mass, will be assessed. Following these assessments, participants will have resting heart rate and blood pressure determined using standard procedures. Participants will then donate approximately 10-15 ml of fasting blood using venipuncture techniques of an antecubital vein in the forearm according to standard procedures. Blood samples will be allowed to stand at room temperature for 10 min and then centrifuged. For each sample, the plasma and/or serum will be removed and frozen at -80°C for later analysis. Percutaneous muscle biopsies (10-15 mg), using a fine needle aspiration technique, will be obtained from the middle portion of the vastus lateralis muscle of the
dominant leg at the midpoint between the patella and the greater trochanter of the femur at a depth between 1 and 2 cm under local ansesthesia (2% Xylocaine with epinephrine). After removal, adipose tissue will be trimmed from the muscle specimens and immediately frozen in liquid nitrogen and then stored at -80°C for later analysis.
Supplementation Protocol Following baseline measurements, subjects will be matched based on age, body composition, and fasting glucose to randomly and blindly ingest (meaning neither the investigators nor the participants will know which groups until the end of the study) capsules containing a cellulose placebo, 250mg of resveratrol, or 250mg of pterolstilbene twice daily for the duration of the study. Supplements will be prepared in gel capsule form and packaged in generic bottles for double blind administration by Sabinsa Corporation. Supplementation compliance will be monitored by having the participants fill out supplement logs recording the amount of supplement ingested during each day of the supplement period. Participants will be instructed to consume the supplement for 4 days prior to the second testing session (T2).
Testing Sessions T2 Upon arriving, participants will have their total body mass (kg), total body water (total, intracellular, and extracellular), heart rate and blood pressure assessed. An indwelling catheter will be inserted into the participant's antecubital vein of the forearm according to standard procedures, and approximately 10-15ml of blood will be sampled. Next
a percutaneous muscle biopsy sample (10-15 mg), using a fine needle aspiration technique, will be obtained from the middle portion of the vastus lateralis muscle. An OGTT will then be performed, where the participant will ingest 1.75g of glucose per kilogram of body weight (max = 75 g glucose). Additional venous blood samples (5 ml) will be obtained by an indwelling venous catheter at 30 minutes, 1hr, and 2hrs after glucose ingestion. A 2hr post-glucose ingestion muscle biopsy will also be obtained. Participants will be instructed to remain in a rested state during the 2hrs following the glucose administration.
Testing Sessions T3 Participants will have total body mass (kg), total body water (total, intracellular, and extracellular), heart rate, and blood pressure measured. An indwelling catheter will again be inserted and approximately 10-15 ml of blood will be sampled. Similarly, a percutaneous muscle biopsy sample (10-15 mg), using a fine needle aspiration technique will also be taken. It should be noted that both blood and muscle sampling will be taken on the contralateral arm and leg that was tested during T2. A 12-lead electrocardiogram (ECG) will be used to ensure that there are no contraindications during exercise testing based on the ACSM guidelines. Oxygen uptake (VO2)
will be measured every 15 sec via an open-circuit sampling system. Throughout the treadmill test, blood pressure will be accessed via standard procedures, while heart rate and rhythm will be assessed using an ECG. Blood samples (10-15mL) via an indwelling venous catheter will be taken at 30min, 1hr, and 2hrs following the cardiopulmonary exercise test to assess glucoregulation, insulin sensitivity, inflammatory markers, and lipid peroxidation markers post-exercise. Muscle biopsy samples will be obtained prior to and 2hrs post-exercise for assessment of protein and gene expression of glucoregulatory intermediates and certain inflammatory markers. Again, subjects will remain in the laboratory in a rested state for the 2hrs following the exercise bout. Participants will be instructed to continue consuming the supplement and begin an 8 week structured, energy restricted, low glycemic index diet and supervised, structured, circuit-training exercise program that includes both aerobic and resistance-training elements. Participants will return to return
to the laboratory in 4 weeks for blood donation, hemodynamic, body composition and cardiopulmonary assessment.
Testing Sessions T4 Upon arriving, participants will have their total body mass (kg), total body water (total, intracellular, and extracellular), heart rate and blood pressure assessed. Resting energy expenditure (REE) will be determined by analysis of the gases expired by the participant while resting in a supine position (Parvo Medics, Provo, UT). Participants will then donate approximately 10-15 ml of fasting blood using venipuncture techniques of an antecubital vein in the forearm according to standard procedures. Subjects will then perform a graded-exercise test on a treadmill following the same guidelines as mentioned above.
Testing Sessions T5 & T6 Following the 8 week training program, subjects will return to the laboratory for testing sessions 5 and 6. Testing sessions 5 and 6 will mirror testing sessions 2 and 3, respectively to determine the chronic effects of supplementation in conjunction with exercise training on insulin-mediated glucose uptake and proteins and genes involved in exercise-mediated glucose uptake. The only addition is that REE will also be assessed at the beginning of testing session 5. Further, clinical safety panels will be used to determine the safety of the supplement. Training volume, dietary intake and supplementation will be monitored during the 8 week study intervention by training and supplementation logs and 4-day dietary recall analysis sheets.
Nutritional Intervention Each participant will follow a structured low glycemic index diet during the eight-week study. The diet will involve the following protocol in which each participant will be requested to: 1) consume two servings of low-fat dairy each day, 2) consume two pieces of fruit per day, or one cup of canned or frozen fruit, 3) at lunch and dinner, consume low-starch vegetables, eating at least two cups of different kinds at each meal, 4) consume four ounces of meat protein (beef, pork, veal, poultry, fish, shellfish) at lunch and dinner, and 5) limit starchy vegetables (potatoes, corn, rice), grain-based foods (breads, pasta, salty snacks), flour-based foods (pastries, cakes, cookies, donuts), candy, sugar-containing beverages including juices. A typical dietary meal plan is presented in Table 2.
Exercise Protocol The exercise intervention will be 8 weeks in duration. All groups will participate in a resistance training circuit three times a week. Circuit training will consist of 12 stations with 8-12 repetitions, following intensity guidelines of the American College of Sports Medicine (ACSM). Aerobic activity will be three days a week and intensities will follow ACSM guidelines. An overview of the exercise training program is presented in Tables 3 and 4.
Assessment of Body Composition (T1 – T6) Total body mass (kg) will be determined on a standard dual beam balance scale (Detecto). Total body water (total, intracellular, and extracellular) will be determined with bioelectrical impedance (BIA; Xitron) while percent body fat, fat mass, and fat-free mass, will be determined using a Dual Energy X-ray Absorptiometer (DXA; Hologic QDR-4500W).
Assessment of Hemodynamic Safety Markers (T2, T4, T5) In order to assess any hemodynamic safety concerns regarding the effects of the diet, exercise program, and polyphenol supplement, after 1 week, 4 weeks, and 8 weeks participants will undergo the assessment of resting hemodynamic safety markers (heart rate and blood pressure). Heart rate will be determined by palpation of the radial artery using standard procedures.
Assessment of Dietary Analysis (T2, T4, T5) In an attempt to determine compliance with the low glycemic diet, and to also assess the average
daily macronutrient consumption of fat, carbohydrate, and protein in the diet, each participant
will be required to keep four-day dietary records during weeks 1, 4, and 8 of the study. The
dietary records will be analyzed with the Food Processor dietary assessment software program
(ESHA Research Inc., Salem, OR).
Assessment of Serum Lipids (T1, T3, T4, T6) Using a Dade Dimension clinical chemistry analyzer (Dade-Behring, Inc., Newark, DE) blood
samples will be assayed for serum lipid levels (total cholesterol, HDL cholesterol, LDL
cholesterol, triglycerides). This assay will help evaluate the effects of the exercise and the
supplementation regimen on serum lipids.
Reported Side Effects from Supplementation (T3, T4, T6) To determine whether the participants suffered any side effects from the placebo or supplement,
after weeks 1, 4, and 8 participants will report by questionnaire administered in a confidential
manner whether they tolerated the supplement, supplementation protocol, as well as report any
medical problems/symptoms they may have encountered throughout the study.
In Vivo Biochemical Analyses A standard clinical chemistry panel will be run by Quest Diagnostics, Inc. (Madison, NJ), whereas all other analytical procedures will be conducted in line with established and published protocols in the Exercise and Biochemical Nutrition Laboratory at Baylor University. Clinical blood counts will be determined via Cell Dyne 3500. Serum insulin, cortisol, and estrogen will be determined by way of enzyme-linked immunoabsorbent assay (ELISA) at a wavelength of 450 nm. Insulin sensitivity will be determined by way of the Matsuda OGTT insulin sensitivity index using OGTT insulin values (9). In addition, insulin resistance will be determined Homeostatic model assessment (HOMA) of insulin resistance (8). Bioplex bead analysis will be used to determine plasma leptin, adiponectin, TNF-α, CNTF, IL-6, IL-10, and IL-16 levels. The skeletal muscle gene expression of GLUT4, AMPK, AS160, Akt, aPKC, CAMK, NF-kB, SIRT1, and PPARα,γ,δ will be performed using RT-PCR. Oligonucleotide primers will be designed using Primer Express from known human mRNA sequences available online through the NCBI database. The quantity of mRNA will be determined relative to the expression of β-actin, and ΔCT values will be used to compare gene expression. The specificity of the PCR will be
demonstrated with an absolute negative control reaction containing no cDNA template, and single gene products confirmed using DNA melt curve analysis. Protein levels of GLUT4, AMPK, AS160, Akt, PPARα,γ,δ, CAMK, and NF-kB will be measured with an ELISA kit.
Data Analysis, Presentation, & Publication Data will be analyzed using with SPSS for Windows Version 16 software (SPSS Inc., Chicago, IL). Body composition, aerobic capacity, glucose/insulin kinetics, protein and mRNA expression data will be analyzed via separate (time x supplement) factorial multivariate, repeated measures analyses of variance (MANOVAs). Data will be considered significantly different when the probability of error is 0.05 or less. Tukey's honestly significant differences post-hoc procedures will be performed when a significant interaction is observed. Data will be presented at an appropriate scientific conference (e.g., American College of Sports Medicine, Experimental Biology, etc) and published in a peer reviewed scientific journal (e.g., Diabetes, Medicine & Science in Sport and Exercise, Nutrition, International Journal of Sport Nutrition and Exercise Metabolism, etc).
1) Boocock DJ, Faust GES, Patel KR, Schinas AM, Brown VA, et al. Phase I dose
escalation pharmacokinetic study in healthy volunteers of resveratrol, a potential cancer chemopreventive agent.
Cancer Epidemiol Biomarkers Prev. 16:1246-1252, 2007.
2) Diabetes mellitus and exercise. American Diabetes Association.
Diabetes Care. 25:S64-
3) Economic costs of diabetes in the U.S. in 2007. American Diabetes Association.
Diabetes
Care. 31:1–20, 2008.
4) Evidence-based nutrition principles and recommendations for the treatment and
prevention of diabetes and related complications. American Diabetes Association.
Diabetes Care. 25:S50-60, 2002.
5) Hougee S, Faber J, Sanders A, de Jong RB, van den Berg WB, et al. Selective COX-2
inhibition by Pterocarpus marsupium extract characterized by pterostilbene, and its activity in healthy human volunteers.
Planta Medica. 71:387-392, 2005.
6) How to tell if you have pre-diabetes. American Diabetes Association. Retrieved October
15, 2008. http://www.diabetes.org/pre-diabetes/pre-diabetes-symptoms.jsp
7) Kasdorf G, Kalkhoff RK. Prospective studies of insulin sensitivity in normal women
receiving oral contraceptive agents.
J Clin Endocrinol Metab, 1988; 66:846-52.
8) Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC.
Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.
Diabetologia, 1985;28:412-419.
9) Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose
tolerance testing: comparison with the euglycemic insulin clamp.
Diabetes Care, 1999;22:1462-1470.
10) Rembsberg CM, Yanez JA, Ohgami Y, Vega-Villa KR, Rimando AM, and Davies NM.
Pharmacometrics of pterostilbene: Preclinical pharmacokinetics and metabolism, anticancer, antiinflammatory, antioxidant, and analgesic activity.
Phytotherapy Research. 22:169-179, 2008.
11) Rockl KSC, Witczak CA, and Goodyear LJ. Signaling mechanisms in skeletal muscle:
Acute responses and chronic adaptations to exercise.
Life. 60:145-153, 2008.
12) Su H-C, Hung L-M, and Chen J-K. Resveratrol, a red wine antioxidant, possesses an
insulin-like effect in streptozotocin-induced diabetic rats.
American Journal of Endocrinology and Metabolism. 290:E1339-E1346, 2006.
13) The prevention or delay of type 2 diabetes. American Diabetes Association.
Diabetes
Care. 26:S62-S69, 2003.
Research Team Matt Cooke, PhD. Dr. Cooke is an Associate Professor in the Department of Health, Health,
Human Performance, & Recreation at Baylor University. Dr. Cooke has previous research
experience in the sport nutrition industry, specifically in the areas of protein supplementation and
training adaptations. He will serve as one of the principal investigators of the study assisting with
all aspects of data collection and analysis.
Geoffrey Hudson, MA, CSCS. Mr. Hudson is currently a Ph.D. student in Exercise, Nutrition
and Preventative Health at Baylor University and a research assistant in the Exercise and Sport
Nutrition Laboratory at Baylor University. Mr. Hudson has previous research experience in the
areas of sport nutrition supplementation, anaerobic performance enhancement, thermoregulation,
and the metabolic syndrome. He will serve as one of the principal investigators of the study
assisting with all aspects of data collection and analysis and manuscript preparation.
Brian Shelmadine, MA, CSCS. Mr. Shelmadine is currently a Ph.D. student in Exercise,
Nutrition and Preventative Health at Baylor University and a research assistant in the Exercise
and Sport Nutrition Laboratory at Baylor University. Mr. Shelmadine has previous research
experience in the areas of sport nutrition supplementation, anaerobic performance enhancement,
strength and conditioning, and the metabolic syndrome. He will serve as one of the principal
investigators of the study assisting with all aspects of data collection and analysis and manuscript
preparation.
Thomas Buford, MS, CSCS. Mr. Buford is currently a Ph.D. student in Exercise, Nutrition and
Preventative Health at Baylor University and a research assistant in the Exercise and Sport
Nutrition Laboratory at Baylor University. Mr. Buford has previous research experience in the
areas of sport nutrition supplementation, anaerobic performance enhancement, strength and
conditioning, and muscle physiology. He will assist with data collection.
Mike Greenwood, PhD, FNSCA, CSCS*D, FACSM, FISSN. Dr. Greenwood is Professor and
Graduate/Research Coordinator in the Department of HHPR at Baylor University. Dr.
Greenwood's research expertise is in exercise nutrition predominately creatine supplementation
and strength related exercise programming. He will advise on experimental design and
procedures.
Darryn S. Willoughby, PhD, FACSM, FISSN, CSCS, CISSN. Dr. Willoughby is an Associate
Professor of Exercise and Muscle Physiology and Biochemistry in the Department of Health,
Human Performance, & Recreation at Baylor University. He is also an Associate Professor of
Baylor's Biomedical Science Institute. Dr. Willoughby is an internationally recognized exercise
biochemist and molecular physiologist. He has conducted a vast amount of research focusing on
the biochemical and molecular regulatory mechanisms regarding exercise performance and
nutrition. Dr. Willoughby will be the principal supervisor of the project. He will oversee all
aspects of the study and advise on the biochemical and clinical chemistry assays involved in the
project.
Procedures
Medical Monitoring. Interested participants will be invited to familiarization sessions. During
this time, participants will sign consent forms and complete medical history information.
Participants will then undergo a general exam by trained laboratory personnel to determine
whether the subject meets entry criteria to participate in the study. This exam will include
evaluating the medical and training history questionnaires and performing a general physical
examination according to ACSM exercise testing guidelines. Based on this examination,
participants will be assessed for their risk of cardiovascular disease and contraindications to
exercise and then a recommendation will be made on whether the participant meets entry criteria
and may therefore participate in the study. Trained, non-physician exercise specialists certified in
CPR will supervise participants undergoing testing and assessments. A telephone is in the
laboratory in case of any emergencies, and there will be no less than two researchers working
with each subject during testing sessions. In the event of any unlikely emergency one researcher
will check for vital signs and begin any necessary interventions while the other researcher
contacts Baylor's campus police at extension 2222. Instructions for emergencies are posted
above the phone in the event that any other research investigators are available for
assistance. Participants will be informed to report any unexpected problems or adverse events
they may encounter during the course of the study to Matthew Cooke, Ph.D. If clinically significant side effects are reported, the participants will be referred to discuss the problem with Ronald Wilson, MD for medical follow-up. Dr. Wilson is one of the Sports Medicine physicians for Baylor University and is associated with the Department of HHPR. He has agreed to provide medical support and consultation for this study and to the ESNL. Dr. Wilson will evaluate the complaint and make a recommendation whether any medical treatment is needed and/or whether the participant can continue in the study. If Dr. Wilson feels medical follow-up is necessary, the participant will be referred to obtain medical treatment from their personal physician. This is a similar referral/medical follow-up system that Baylor athletes are provided with the exception that participants in this study will not be provided medical care. New findings and/or medical referrals of unexpected problems and/or adverse events will be documented, placed in the participants research file, and reported to the Baylor IRB committee.
Screening for Cardiopulmonary Disease Risk and Exercise Contraindications. All participants will have their risk of cardiopulmonary disease and possible contraindications to exercise assessed by Exercise Physiologists in accordance to standard procedures described by the American College of Sports Medicine's (ACSM) (
ACSM's Guidelines for Exercise Testing and Prescription, 6th ed. Williams & Wilkins Publishers, 2000). These guidelines are outlined and presented below:
ACSM Risk Stratification Criteria for Cardiovascular Disease
Low Risk
Younger individuals (men < 45 years of age; women < 55 years of age) who are asymptomatic
for
cardiovascular disease and possess no more than one positive cardiovascular disease risk factor.
Moderate Risk
Older individuals and/or those who are asymptomatic for cardiovascular disease and possess two
or more cardiovascular disease risk factors.
High Risk
Individuals with one or more signs/symptoms suggestive of cardiovascular disease.
ACSM Criteria for Signs and Symptoms Suggestive of Cardiovascular Disease 1. Pain, discomfort (or other anginal equivalents) in the chest, neck, jaw, arms, or other areas that may be due to myocardial ischemia. 2. Shortness of breath at rest or with mild exertion. 3. Dizziness or syncope. 4. Orthopnea or paroxysmal nocturnal dyspnea. 5. Ankle edema. 6. Palpitations or tachycardia. 7. Intermittent claudication. 8. Known heart murmur. 9. Unusual fatigue or shortness of breath with usual activities.
ACSM Absolute and Relative Contraindications to Exercise
Absolute Contraindications
1. Unstable angina.
2. Uncontrolled dysrhythmias.
3. Recent EKG changes and cardiac events.
4. Acute myocarditis or pericarditis.
5. Acute pulmonary embolism or acute myocardial infarction.
6. Severe aortic stenosis.
7. Dissecting aneurysm.
8. Acute infections.
Relative Contraindications
1. Left main coronary stenosis.
2. Severe hypertension (> 200/110).
3. Tachycardia or bradycardia.
4. Uncontrolled metabolic disease.
5. High-degree AV block.
6. Chronic infectious disease.
7. Cardiomyopahty and outflow obstructions.
8. Stenotic valve disease.
9. Ventricular aneurysm.
Assessment of Hemodynamic Safety Markers (Heart Rate, Heart Rhythm, & Blood Pressure). Heart rate will be determined by an ECG. For the ECG, the subject's skin will be prepared for
placement of 10 ECG electrodes. Electrode sites will be cleansed with sterile alcohol gauze using
a circular motion. The site will be allowed to air dry or will be dried with a gauze pad.
Electrodes will then be placed on the right subclavicular fossa (RA), left subclavicular fossa
(LA), right abdomen (RL), left abdomen (LL), 4th intercostals space at the right sternal border
(V1), 4th intercostals space at the left sternal border (V2), equidistant between V2 and V4 (V3),
5th intercostal space at the midclavicular line (V4), 5th intercostal space at the anterior axillary
line (V5), and 5th intercostals space at the axillarly line (V6) of the chest. The subject will then
be attached to a Quinton 710 ECG. Blood pressure will be assessed in the supine position after
resting for 5-min using a mercurial sphygmomanometer using standard procedures.
Reported Side Effects from Supplements. Participants will report, by questionnaire administered
in a blinded manner, whether they tolerated the supplement, supplementation protocol, as well as
report any medical problems/symptoms they may have encountered throughout the protocol of
the study.
Estimated Energy Intake/Dietary Inventories. The participants will be required to keep four-day
dietary records at three time points (T2, T4, T5) that will be evaluated with the Food Processor
dietary assessment software program (ESHA Research Inc., Salem, OR) to determine the average
daily macronutrient consumption of fat, carbohydrate, and protein in the diet.
Resting Energy Expenditure Test. Participants will remove shoes and lie supine on a plinth. A
sterile hood will be placed over the participant's head. Once the participant is ready to begin the
test protocol, the subject will begin to have their expired gases monitored continuously
throughout the exercise test. Resting expired gases will be collected using the Parvo Medics
2400 TrueMax Metabolic Measurement System (Sandy, UT). Participants will be asked to
remain motionless, yet awake for twenty minutes.
Body Composition Assessments. Participants will undergo body composition tests in the ESNL.
Prior to each assessment, height will be measured using standard anthropometry and total body
weight will be measured using a calibrated electronic scale with a precision of +/- 0.02 kg. Body
composition will then be determined using a calibrated Hologic 4500W dual-energy x-ray
absorptiometry (DEXA) by licensed personnel with limited x-ray technology. The DEXA body
composition test will involve having the participant lie down on their back in a standardized
position in a pair of shorts/t-shirt or a gown. A low dose of radiation will then scan their entire
body for approximately six minutes. The DEXA segments regions of the body (right arm, left
arm, trunk, right leg, and left leg) into three compartments for determination of fat, soft tissue
(muscle), and bone mass. Radiation exposure from DEXA for the whole body scan is
approximately 1.5 mR per scan. This is similar to the amount of natural background radiation a
person would receive in one month while living in Waco, TX. The maximal permissible x-ray
dose for non-occupational exposure is 500 mR per year. Total radiation dose will be less than 5
mR for the entire study.
Total body water will then be estimated using a Xitron 4200 Bioelectrical Impedance Analyzer
(San Diego, CA) which measures bio-resistance of water and body tissues based on a minute low
energy, high frequency current (500 micro-amps at a frequency of 50 kHz) transmitted through
the body. This analyzer is commercially available and has been used in the health care/fitness
industry as a means to assess body composition and body water for over 20 years. The use of this
device has been approved by the Food and Drug Administration (FDA) to assess total body water
and the current to be used has been deemed safe. This is measured through four electrodes placed
on the body: one electrode will be placed on the posterior surface of the right wrist, in between
the radial and ulna styloid processes (wrist bones), another electrode will be placed on the
posterior surface of the right hand at the distal base of the second metacarpal; the third electrode
will be placed on the anterior surface of the right foot at the distal end of the first metatarsal.
Participants will lie on a table in the supine position and electrodes will be connected to the
analyzer. After the subject is connected, age, gender, weight, height, and activity level are
entered into the unit by the technician. After the unit has measured the resistance, which takes
approximately 30 seconds, the unit then calculates total body water and body water percent.
Aerobic Exercise Capacity Test. Participants will first be seated next to the treadmill and resting
heart rate and blood pressure will be measured. A sterile mouthpiece attached to a head harness
will be secured on the participant. The participant will then have a noseclip placed on their nose.
Resting expired gases will be collected using the Parvo Medics 2400 TrueMax Metabolic
Measurement System (Sandy, UT). Once the participant is ready to begin the test protocol,
he/she will straddle the treadmill with both legs while the treadmill is turned on at a speed of 2.0
mph and at a 0% grade. The participant will then use one foot to repeatedly swipe the belt in
order to gauge the speed of the motion. Once the participant is familiar with this speed, he/she
will step onto the belt while still gripping the handrail with both hands. Once the participant
becomes comfortable walking on the treadmill, he/she will let go of the handrail and begin
walking freely. The participant will then perform a standard symptom-limited Modified Balke
treadmill maximal exercise test using the following speeds and grades:
Blood Samples. Participants will donate approximately 3-4 teaspoons of fasting venous blood
(approx 10-15 milliliters) during each baseline blood draw, 5mL during the post-OGTT blood
draws, and approx 10-15mL during the post-GXT blood draws. Blood samples obtained during
testing sessions 2, 3, 5 and 6 will be via standard indwelling venous catheter, while blood samples
obtained during testing session 1 and 4 will be via standard sterile venipuncture technique. All
blood samples will be obtained from the antecubital vein using standard phlebotomy procedures
by Matthew Cooke, Ph.D. or laboratory technician's trained in phlebotomy in compliance with
guidelines established by the Texas Department of Health and Human Services. The
phlebotomists and lab technicians will wear personal protective clothing (gloves, lab coats, etc.)
when handling blood samples. Subjects will be seated in a phlebotomy chair. Their arm will be
cleaned with a sterile alcohol wipe and sterile gauze. A standard rubber tourniquet will then be
placed on the brachium (upper arm) and will be tight enough to visibly indent the skin, but not
cause the patient discomfort. For venipunctures, an antecubital vein will be palpated and then a
22 gauge sterile needle attached to a plastic vacutainer holder will be inserted into the vein using
standard procedures. One plasma vacutainer tube (Green top), one serum separation vacutainer
tube (Red tops), and one whole blood vacutainer (Purple top) will be inserted into the vacutainer
holder for blood collection in succession using multiple sample phlebotomy techniques. Once
samples are obtained, the vacutainer holder and needle will be removed. The needle will then be
discarded as hazardous waste in a plastic sharps container. For the indwelling catheter sampling,
the entry site will be thoroughly cleaned with an alcohol prep pad and allowed to dry and also
sterilized with 10% povidone-iodine solution and allowed to dry. The participant will be
instructed to lower their arm and make a fist several times in order to maximize venous
engorgement. The appropriate vein will be selected. If a suitable vein is difficult to identify, the
arm may be covered with a warm, moist compress to help with peripheral vasodilatation. If after a
meticulous search no suitable veins are found, then the tourniquet will be released from above the
elbow and placed around the forearm to search in the distal forearm, wrist and hand. To puncture
the vein, the 20 gauge catheter will be held in the dominant hand. With the bevel up, enter the
skin at about a 30-degree angle and in the direction of the vein. After entering the skin, the angle
of the catheter will be reduced until it is nearly parallel to the skin. If the vein appears to "roll"
(move around freely under the skin), the venipuncture will begin by applying counter tension
against the skin just below the entry site using the thumb of the non-dominant hand. The skin
will be pulled distally toward the wrist in the opposite direction the needle will be advancing,
being careful not to press too hard which will compress blood flow in the vein and cause the vein
to collapse. The catheter will be advanced into the vein until blood is seen in the "flash chamber"
of the catheter. After entering the vein, the plastic catheter (which is over the needle) will be
advanced into the vein while leaving the needle stationary. The hub of the catheter will be all the
way to the skin puncture site. The tourniquet will be released. Gentle pressure will be applied
over the vein just proximal to the entry site to prevent blood flow. The needle will be removed
from within the plastic catheter and disposed in an appropriate sharps container. The catheter will
be taped in place using strips of tape and a sterile dressing. Once sampling is complete, the site
of the blood draw will then be cleaned with a sterile alcohol wipe and gauze and a sterile Band-
Aid will be placed on the site. The blood collection tubes will be labeled and placed in a test tube
rack. Laboratory technicians (who have received blood borne pathogen training and will be
wearing personal protective clothing) will centrifuge the serum and/or plasma samples, transfer
serum and/or plasma into labeled storage containers, and store at -80°C for later analysis.
Muscle Biopsies. Percutaneous muscle biopsies (10-15 mg), using a fine needle aspiration
technique, will be obtained from the middle portion of the vastus lateralis muscle of the dominant
leg at the midpoint between the patella and the greater trochanter of the femur at a depth between
1 and 2 cm. Muscle biopsies will be performed by Dr. Matt Cooke or an appropriately trained
graduate student. Muscle biopsy training requires that graduate students successfully perform a
minimum of 3 biopsy procedures on non-research participants under Dr. Willoughby or Dr.
Cooke's direct supervision before they are allowed to perform them on research participants.
Graduate students must then successfully perform 15 biopsies on research participants under
direct supervision before they are allowed to perform muscle biopsies without supervision. The
procedures used are previously-established procedures by Darryn Willoughby, Ph.D., who has
extensive experience in performing muscle biopsies as a part of his research. For subsequent
biopsies, muscle tissue will be extracted from the same location by using the previous location
and depth markings on the needle. Pre-biopsy preparations will include removing hair from the
procedure area and wiped with 70% isopropyl alcohol prep pads. The biopsy site will be numbed
with 1cc of 2% Xylocaine with epinephrine. After local anesthesia, the biopsy site will be
sterilized with 10% povidone-iodine solution and a pilot hole will be made with an 18-gauge
needle. The biopsy procedure will then begin and take 15-20s to perform. Once the muscle
sample has been obtained, pressure will be immediately applied to the biopsy site and an adhesive
bandage immediately applied. Bleeding is minimal due to the small puncture-type opening;
therefore, only a standard band-aid type bandage is needed to cover the puncture. The biopsy
needles will be discarded as hazardous waste in an appropriately-labeled plastic sharps container.
The site of the biopsy will be cleaned with a sterile alcohol wipe and gauze. The alcohol wipe
and gauze then will be discarded in an appropriately labeled biohazard waste receptacle. The
tissue sample will be stored at -80 degrees C for future analyses. Written instructions for post-
biopsy care will be given to the subjects. The participant will be instructed to leave the band-aid
in place for 12 hours (unless unexpected bleeding or pain occurs) and asked to contact the lab
immediately if they feel there is a problem. The time course nature of the study will allow for
daily follow-up to occur in order to ensure all biopsy locations are healing correctly and free of
infection. Aside from the testing sessions, the participant will be further advised to refrain from
vigorous physical activity during the first 24 hours post-biopsy. These suggestions will minimize
pain and possible bleeding of the area. If needed, the subject may take non-prescription analgesic
medication such as Acetaminophen to relieve pain if needed. However, medications such as
aspirin, Nuprin, Bufferin, or Advil will be discouraged as these medications may lead to
ecchymosis at the biopsy site. Soreness of the area may occur for about 24 hours post-biopsy.
Equipment
Digital Scale. Total body weight will be determined using a digital scale accurate to ±0.02 kg.
The scale is calibrated by placing certified 25-kg weights and balancing the scale. Other than
general instructions, special skills are not required to measure body weight.
Mercurial Sphygmomanometer. Blood pressure will be assessed by auscultation of the brachial
artery using a mercurial sphygmomanometer using standard clinical procedures.
Bioelectrical Impedance Analyzer (BIA). The Xitron 4200 Bioelectrical Impedance Analyzer
(San Diego, CA) which measures bio-resistance and body composition based on a minute low
energy, high frequency current transmitted through the body from surface electrodes attached to
standardized anatomical locations on the dorsal surface of the right hand and foot while the
subject lies motionless in a supine position. The analyzer is calibrated internally to a standard
electrical current by pressing the calibration key located on the unit. A trained research assistant
will perform this procedure.
Dual-Energy X-Ray Absorptiometer (DEXA). Body composition measurements will be
determined by qualified personnel (in compliance with State Regulations) using a Hologic
4500W dual energy x-ray absorptiometer (Waltman, MA). This system segments regions of the
body (right arm, left arm, trunk, right leg, and left leg) into three compartments (i.e., bone mass,
fat mass, and fat-free/soft tissue mass). Quality control (QC) calibration procedures will be
performed on a spine phantom (Hologic X-CALIBER Model DPA/QDR-1 anthropometric spine
phantom) prior to each testing session. In addition, weekly calibration procedures will be
performed on a density step calibration phantom.
Resting Energy Expenditure. Resting energy expenditure measurements will be obtained using
Parvo Medics 2400 TrueMax metabolic measurement system (Sandy, UT).
Aerobic Exercise Capacity Testing. Maximal cardiopulmonary measurements will be obtained
using Parvo Medics 2400 TrueMax metabolic measurement system (Sandy, UT). Participants
will be attached to the Quinton 710 ECG (Bothell, WA) and walk on a Quinton QStressTm65
treadmill (Bothell, WA).
Muscle Biopsy Needle. The muscle biopsy technique (as mentioned above) will be performed
with a TRU-CORE® 1 Automatic Reusable Biopsy Instrument (Angiotech, Medical Device
Technologies, INC., Gainsville, Florida, USA).
Clinical Chemistry Analysis. Serum samples will be shipped to Quest Diagnostics, Inc.
(Madison, NJ) and a standard clinical chemistry panel will be run.
Cell-Dyne 3500 (Abbott
Diagnostics, Dallas, TX) hematology analyzer will be used to measure whole-blood markers
[leukocytes, lymphocyte differentials (neutrophils, lymphocytes, monocytes, eosinophils,
basophils), red blood cells, hemoglobin, hematocrit, platelets].
Serum & Plasma Analysis. Blood samples will also be used to assess hormone profiles insulin,
estrogen, and cortisol, and the levels of the inflammation-related, interleukin-1β (IL-1β),
interleukin-6 (IL-6), ciliary neurotrophic factor (CNTF), and tumor necrosis factor-α (TNF-α)
spectrophotometrically using either enzyme-linked immunoabsorbent assays (ELISA) or enzyme
immunoassys (EIA) with a Wallac Victor-1420 micoplate reader (Perkin-Elmer Life Sciences,
Boston, MA) or the Bio-Plex bead-based multiplex assays (Luminex xMAP technology) by Bio-
Rad Laboratories, Inc. (Hercules, CA; #7000005KYMR). The assays will be performed at either
405 or 450 nm wavlength against a known standard curve.
Muscle Protein Gene Expression. Muscle protein samples will be used to isolate total RNA,
reverse transcribed, and then used to perform real-time polymerase chain reaction using specific
oligonucleotide primers to amplify target genes using an iQ real-time PCR system (Bio-Rad,
Hercules, CA).
Participants
Recruitment Approximately 45 sedentary, overweight, pre-diabetic [fasting plasma glucose: 100-125mg/dL
(4)] premenopausal females between 18 and 35 years of age, will be recruited for this study.
Participants will be declared sedentary if they have not exercised for 30 minutes a day at least 5
days a week for a year or more. Additionally, oral contraceptives appear to reduce glucose
tolerance by reducing peripheral tissue insulin sensitivity. Since oral contraceptives may increase
glucose intolerance, all participants will be women who have not taken oral contraceptives for at
least two months. Prior to participation in the study, all potential participants must provide written
physician approval. Participants who qualify for the study will be cleared for participation by
successfully completing a series of health screening examinations (i.e., questionnaire, blood
pressure assessment) by qualified research staff members. A recruitment flyer that will be posted
on campus, at area fitness centers, and on the Internet
(http://www3.baylor.edu/HHPR/research/subjects/) and sent via campus mail is attached.
Selection Criteria
Participants will not be allowed to participate in the study if they:
1. have a body mass index less than 25. 2. have been involved in a habitual exercise training program (minimum of 2.5 hours/week
3. have any known metabolic disorder including heart disease, arrhythmias, diabetes,
thyroid disease, or hypogonadism;
4. have a history of pulmonary disease, medically controlled hypertension, hepatorenal
disease, musculoskeletal disorders, neuromuscular/neurological diseases, autoimmune disease, cancer, peptic ulcers, anemia, or bleeding disorders;
5. have liver, kidney disease, or heart disease; 6. are taking any heart, pulmonary, thyroid, anti-hyperlipidemic, hypoglycemic, anti-
hypertensive, endocrinologic (e.g, thyroid, insulin, etc), psychotropic, or neuromuscular/neurological medications;
7. have taken nutritional supplements or prescription medications that may affect body
composition and/or muscle mass (e.g., creatine, HMB) within three months prior to the start of the study.
8. have any absolute or relative contraindication for exercise testing or prescription as
outlined by the American College of Sports Medicine;
9. report any unusual adverse events associated with this study that in consultation with the
supervising physician recommends removal from the study.
Compensation or Incentives
Participants completing all familiarization and testing sessions as well as turning in all required
materials (i.e., dietary and training logs) in the study will be paid $150. Participants may receive
information regarding results of these tests if they desire. If participants are Baylor students, they
will not receive any academic credit for participating in this study.
Potential Risks The resveratrol and pterostilbene supplements to be investigated in this study have been studied
for various medical uses in rats and in vitro, but limited research has been performed in humans.
However, recent research has demonstrated that oral administration of these compounds is not
associated with any significant medical side effects. Pterocarpus marsupium Roxb. extract (450
mg), one source of pterostilbene, was recently used to study Cox-2 inhibition in humans (5). No
adverse side effects were reported in healthy human volunteers. Resveratrol is currently under
study in Phase II clinical trials for use in prevention of colon cancer (www.cancer.org). Thus,
resveratrol has passed Phase-I trials for safe dose ranges, any side effects, and how the body
copes with the drug (1). Additionally, both compounds are found in ayurvedic medicines, which
have been commonly used for hundreds of years, to treat hyperlipidemia and hyperglycemia.
Moreover, these supplements are currently available in over the counter nutritional supplements
sold in the United States. As with the vast majority of nutritional supplements, however, the
FDA may not have evaluated the safety or marketing claims of resveratrol and pterostilbene.
Participants who meet eligibility criteria will be exposed to a low level of radiation during the DEXA body composition tests, which is similar to the amount of natural background radiation a person would receive in one month while living in Waco. In addition, a very low level of electrical current will be passed through each participant's body using a bioelectrical impedance analyzer. This analyzer is commercially available and has been used in the health care/fitness industry as a means to assess body composition and body water for over 20 years. The use of the BIA and DEXA analyzers has been shown to be safe methods of assessing body composition and total body water and is approved by the FDA. Participants will donate samples of venous blood during the study using standard phlebotomy procedures. This procedure may cause a small amount of pain when the needle is inserted into the vein as well as some bleeding and bruising. The subject may also experience some dizziness, nausea, and/or faint if they are unaccustomed to having blood drawn. Participants will likely experience short-term muscle soreness and moderate fatigue, and may experience muscle strains/pulls during their routine resistance-training program. Subjects donating muscle biopsies may experience some anxiety before this procedure regarding a perception of pain or discomfort. The biopsy procedure may cause a small amount of bleeding and/or pain as the pilot hole is made and the sample is extracted from the muscle. However, once the anesthesia takes affect, there is usually only mild pressure and a small amount of bleeding as the needle is inserted and extracted. During the biopsy procedure, subjects may experience a slight localized cramping followed by brief and minor aching but these symptoms usually go away when the needle is withdrawn. Frequently, subjects feel little or no sensation at all. Although the muscle selected for biopsy (vastus lateralis) has no major blood vessels or nerves in the areas where the biopsy needle will be inserted, there is the rare occurrence of compressing or cutting small nerve branches, which can sometimes cause temporary tingling and numbness in the skin. These responses, when they have occurred, have dissipated in a few days or weeks. After the needle is withdrawn, pressure is applied to the site of the incision to prevent any unwarranted
bleeding (there is usually very little bleeding). After the biopsy, the muscle is likely to be moderately sore for about 24 hours. This soreness is similar to muscle soreness following unusually vigorous exercise or a muscle injury especially if muscle is compressed against a bone (e.g., "charley horse"). Complications accompanying this procedure are rare and no complications have been observed in subjects who have donated biopsies in the EBNL in previous studies. The primary risks, include bleeding, hematoma (bruising), infection, and slight scarring of the skin have occurred, however. Some individuals may develop keloid scarring at the site of incision. Also, some individuals may have an allergic reaction to the anesthetic, such as a local rash, or difficulty breathing. To minimize these risks, the amount of anesthetic used will be approximately 2-4% of the maximal dose for a normal sized individual. Every precaution will be made to keep these risks to a minimum. Additionally, these potential risks can be prevented and/or treated with rest, ice, compression, elevation, and adhering to post-biopsy care instructions. Taking a mild non-prescription pain medication such as Tylenol, providing the subject can tolerate these medications, is also recommended for pain. In all these procedures, care is taken to employ precautions to avoid infection, including the "universal precautions" for the handling of blood and infectious materials. Muscle biopsies do not cause any permanent damage with the exception of a small scar which should become undetectable over time, although some individuals may develop keloid scarring at the site of the incision.
Laboratory personnel represent trained, non-physician, certified exercise specialists (American Society of Exercise Physiologies Certified Exercise Physiologist, Certified Strength & Conditioning Specialists, and/or American College of Sports Medicine Health Fitness InstructorSM, Exercise TechnologistSM, or Exercise SpecialistsSM). All personnel involved in
collecting data will be certified in CPR, which is also a condition to holding these professional
certifications. A telephone and automated electronic defibrillator (AED) is located in the
laboratory in case of any emergencies and there will be no less than two researchers working with
each subject during testing. In the event of any unlikely emergency one researcher will check for
vital signs and begin any necessary interventions while the other researcher contacts Baylor's
campus police at extension 2222. Instructions for emergencies are posted above the phone in the
event that any other research investigators are available for assistance.
Potential Benefits The main benefit that participants may obtain from this study is that if these two thermogenic
nutritional supplements are effective there is a possibility that they may experience decrements in
percent body fat during training as well as improved health profiles. Participants may also gain
insight about their health and fitness status from the assessments to be performed. However, even
if no individual benefit is obtained, participating in this study will help to determine whether
ingesting this nutritional supplement affects training adaptations and body composition. This
information will be helpful to athletes and non-athletes alike who use thermogenic supplements
during training to know whether they are effective or not.
Assessment of Risk
Because they are relatively new to the market and little research conducted in humans, the potential medical benefits of resveratrol and pterostilbene are not yet fully known; although, these compounds are available in a number of over the counter nutritional supplements. Initial results in humans and rats suggest that these supplements may provide benefit by reducing lipid levels, improving insulin sensitivity, weight loss, cardioprotection, cancer growth inhibition, and increased mortality (10-12). However, additional well-controlled research is necessary before conclusions can be drawn. This study will help determine whether ingesting either resveratrol or
pterostilbene may prove to be effective at improving insulin sensitivity in overweight prediabetic females. The only known side effects associated with these polyphenols are found with extremely high and unrealistic doses and include: mild anaemia, an increased liver weight, and increased serum cholesterol.
The risk of supplementation of these compounds at the levels to be evaluated in this study is low. The greatest risk associated with participating in this study will be the participants initiating an exercise-training program. Since the participants to be used in this study are prediabetic, are required to have physician clearance, and would be told to begin exercising and eating a healthier diet, these risks would be no different than if they participated in their own training program or exercised at a local gym. Additionally, each circuit training session will supervised by a Certified Strength and Conditioning Specialist. Therefore, the potential benefits of subjects participating in this study outweigh the potential risks.
Compensation for Illness or Injury
Each participant will agree to indemnify and hold harmless Baylor University, its officers,
directors, faculty, employees, and students for any and all claims for any injury, damage or loss
suffered as a result of participation in this study regardless of the cause of injury, damage, or loss.
Confidentiality Information obtained from this research (including questionnaires, medical history, laboratory
findings, or physical examination) will be kept confidential to the extent permitted by law.
However, according to FDA regulations, records will be open to FDA representatives to review if
necessary. This may include questionnaires, medical history, laboratory findings/reports,
statistical data, and/or notes taken throughout this study. Records of the research may also be
subpoenaed by court order or may be inspected by federal regulatory authorities. Data derived
from this study may be used in reports, presentations and publications. However, participants will
not be individually identified unless they give their written consent.
Data Presentation & Publication
Data will be presented at an appropriate scientific conference (e.g., American College of Sports
Medicine, International Society of Sports Nutrition, Experimental Biology, etc.) and published in
a peer reviewed scientific journal (e.g., Journal of Nutrition, International Journal of Sport
Nutrition and Exercise Metabolism, etc.).
Statement on Conflict of Interest
Funding for the study has been obtained from Sabinsa, Inc. (Piscataway, NJ) through research
grants awarded to Baylor University. Researchers involved in collecting data in this study have
no financial or personal interest in the outcome of results or sponsors.
Table 2. Overview of a Typical Daily Meal Plan
Meal replacement shake
1 cup low-fat milk 1 piece of fruit Coffee or tea
Large (> 2 cups) salad (a variety of raw vegetables) Low-fat salad dressing
4 ounces lean cold cuts 6 small crackers No-calorie carbonated beverage
No-calorie beverage
4 ounces meat ½ baked potato
Small pat margarine 2 cups low-starch vegetables (two different kinds) Water
1 cup low-fat milk Cut up raw vegetables
Table 3. Overview of the Resistance Training Program
(type of exercise)
upper-body exercises
(chest, shoulders, back, arms, abs); lower-body exercises (gluteals, quadriceps, hamstrings)
upper-body exercises
(chest, shoulders, back, arms, abs); lower-body exercises (gluteals, quadriceps, hamstrings)
upper-body exercises
(chest, shoulders, back,
arms, abs); lower-body exercises (gluteals, quadriceps, hamstrings)
upper-body exercises
(chest, shoulders, back,
arms, abs); lower-body exercises (gluteals, quadriceps, hamstrings)
Table 4. Overview of the Aerobic Training Program
(type of exercise)
Walking, Jogging
Walking, Jogging
Walking, Jogging
Walking, Jogging
Informed Consent
BAYLOR UNIVERSITY
Department of Health, Human Performance, & Recreation
Informed Consent Form
Title of Investigation:
Effects of Resveratrol and Pterostilbene Supplementation on Insulin and Exercise-Mediated Signaling Pathways for Glucose Uptake in Overweight Insulin-Resistant Females: A Double-Blind, Clinically-Controlled Study
Principal Investigator:
Mathew Cooke, PhD
Assistant Professor, Department of HHPR, Baylor University
Co-investigators:
Geoffrey Hudson, MA, CSCS
Exercise and Biochemical Nutrition Lab, Baylor University Brian Shelmadine, MA, CSCS
Exercise and Biochemical Nutrition Lab, Baylor University
Thomas Buford, MS, CSCS
Exercise and Biochemical Nutrition Lab, Baylor University
Mike Greenwood, PhD, FNSCA, CSCS*D, FACSM, FISSN
Professor, Department of HHPR, Baylor University
Darryn S. Willoughby, PhD, FACSM, FISSN, CSCS, CISSN
Associate Professor, Department of HHPR, Baylor University
Associate Dean, Graduate Studies and Research Associate Professor, Health Education
Ronald Wilson, MD Exercise and Sport Nutrition Lab, Baylor University
Rationale: Diabetes mellitus is a critical health concern that has tripled in prevalence over the past 25 years. The CDC estimated 17.9 million Americans suffered from this condition in 2007 and that another 5.7 million Americans were estimated that to have diabetes but were undiagnosed. Of the two most common kinds of diabetes, Type 2 diabetes is the most prevalent, making up 90-95 percent all diagnosed cases in adults. Type 2 diabetes is preceded by an initial insulin resistant state
where the insulin-responsive cells in the body do not appropriately react to circulating insulin, which results in an increase in blood glucose levels and disturbances in fatty acid metabolism. Insulin binding is the primary stimulus for glucose uptake in muscle cells and fat cells at rest or
after a meal. Insulin serves to lower blood glucose levels via an insulin-signaling pathway within fat cells and muscle cells that results in movement of the glucose transporter 4 (GLUT4) glucose transporter to the cell membrane. This initial insulin-resistant state leading to Type 2 diabetes is preceded by Pre-diabetes where people can have impaired fasting glucose (IFG), impaired glucose tolerance (IGT), or both. If a person has IFG, the fasting glucose level will be between 100-125 mg/dL. If a person has IGT, after given oral glucose, their blood glucose level is between 140-200 mg/dL after two hours. It is not a given that those with pre-diabetes will progress to Type 2 diabetes. Progression can be prevented. The first line of defense to prevent the development or further progression of Type 2 diabetes mellitus is lifestyle change. Of particular importance is losing weight, increasing physical activity, and eating better. The goal is to improve insulin's ability to get glucose into muscle cells. One way to improve this ability is with exercise. However, during moderate-intense exercise glucose uptake is accomplished through insulin-independent mechanisms. During exercise, insulin levels in the blood decrease. Thus, glucose is taken into the cell via different means. Ultimately, either the insulin-mediated pathway or the non-insulin mediated pathway, induced by exercise, causes GLUT4 to move to the plasma membrane. During exercise the liver produces more glucose for the muscles to use as a fuel source. However, after exercise has stopped, muscles take in less glucose via the insulin-independent pathway, but the liver continues to produce glucose. At this time insulin levels in the blood begin to increase. However, insulin-resistant people are resistant to the effects of insulin and often suffer from post-exercise hyperglycemia. Often drugs such as Metformin are prescribed to improve insulin sensitivity. Metformin, one of the most frequently prescribed diabetes medications, also enhances GLUT4 transport and insulin sensitivity in muscle and fat cells via insulin-independent mechanisms. Resveratrol and pterostilbene are two compounds found in high concentrations in red wine and a variety of plant sources such as grape skin, berries, pomegranates, and peanuts that are believed to improve insulin sensitivity in a manner similar to Metformin. These two compounds are found in a variety of nutritional supplements available at most health food stores. Over the past 5 years, research into these 2 botanical compounds has expanded, with benefits from supplementation including: improved insulin sensitivity, weight loss, cardioprotection, cancer growth inhibition, and increased mortality. Although interest in such compounds has increased, limited research has examined their purported effects in humans. Administration of resveratrol and pterostilbene could not only improve glucose uptake at rest, they could provide a synergistic enhancement of glucose uptake during exercise, but more importantly, continue to stimulate glucose uptake after exercise and hopefully attenuate a post-exercise hyperglycemic response. Thus, the primary overall purpose of this study is to determine the effects of resveratrol or pterostilbene supplementation on glucose/insulin kinetics and markers of inflammation at rest and following an exercise bout. Further, this study will also determine the effects of prolonged supplementation and exercise training on additional cardiovascular risk factors often found with insulin resistance. These include elevated LDL, triglycerides, total cholesterol, decreased HDL levels, and an overall state of increased inflammation.
Description of the Study:
I will be one of 45 eumenorrheic, physically inactive (not presently engaged in a regular, structured exercise program) females between the ages of 18-35 with a body mass index (BMI) ≥ 25 who will participate in this study. During an initial familiarization session, I will be informed of the requirements of the study and sign an informed consent statement in compliance with the Human Subjects Guidelines of Baylor University and the American College of Sports Medicine. A medically trained individual will examine me to determine if I am qualified to participate in this study. If I am cleared to participate in the study, I will be familiarized to the testing procedures. Familiarization will take approximately 30 minutes to complete. Once I complete the familiarization session, I will complete pre-supplementation testing. I will not exercise for 48 hours nor eat for 12 hours prior to all testing sessions (including the initial familiarization session). On reporting to the lab, I will be weighed and seated in a comfortable chair where my resting blood pressure will be measured using a standard sphygmomanometer and heart rate determined by assessing pulse rate from my wrist. I understand that I will then have my resting energy expenditure measured. This will involve lying down on my back on an exam table for 20 minutes while a clear plastic bubble is placed over my head. I will then have my body composition determined by using a Hologic 4500W dual energy x-ray absorptiometer (DEXA). This will involve lying down on my back on the DEXA exam table in a pair of shorts or a gown for about 6 minutes. I understand that a low dose of radiation will scan my entire body to determine the amount of fat weight, muscle weight, and bone weight. I understand that I will be exposed to an X-ray dose that is similar to the amount of natural background radiation a person would receive in one month while living in Waco. I understand that I will then donate about 15 milliliters (3-4 teaspoons) of venous blood from a vein in my arm. Blood samples will be obtained using standard/sterile procedures using a needle inserted into a vein in my arm. I understand that personnel who will be taking my blood are experienced in phlebotomy (procedures to take blood samples) and are qualified to do so under guidelines established by the Texas Department of Health and Human Services. This will take about 5-minutes. I understand that I will also donate a muscle biopsy sample prior to beginning supplementation. I understand that Matthew Cooke, PhD and trained research assistants will be responsible for collecting muscle biopsy samples. The muscle biopsy procedure basically involves sterilizing and anesthetizing or numbing (2% Xylocaine with epinephrine) the biopsy site on the outside middle of my thigh. Then, a pilot hole (about the diameter of hypodermic needle) is made in my skin and fascia in order to provide access to underlying muscle. Approximately 10 to 15 milligrams of muscle tissue is then extracted from the thigh muscle using a sterile muscle biopsy needle according to standard clinical procedures. Once the muscle sample has been obtained, pressure will be immediately applied to minimize bleeding. Since the site is small with minimal bleeding; I understand only a small bandage will be required to cover the biopsy site. I will then be given a list of post-biopsy instructions on how to clean and care for the incision in order to promote healing. I understand that I will have to return to the lab within 24 to 72 hours so that the biopsy sites can be checked for infection and improper healing. I understand that I will begin ingesting the appropriate supplement the following day. I understand that after baseline testing, I will be matched based on age, body composition, and fasting glucose to orally ingest capsules containing a placebo, 250mg of resveratrol, or 250mg of pterolstilbene twice daily for the duration of the study. Resveratrol and pterostilbene are two polyphenolic botanical supplements that are found in high concentrations in red wine and a
variety of plant sources such as grape skin, berries, pomegranates, and peanuts. Both resveratrol and pterostilbene are purported to improve insulin sensitivity, weight loss, cardioprotection, cancer growth inhibition, and mortality. I understand that the supplements will be prepared in capsule form and presented to me packaged in a blinded format (where I don't know which one I am taking). I understand that my compliance in taking the supplements will be monitored by returning empty bottles to the EBNL when I report back for testing after 4 days, 4 weeks, and 8 weeks of supplementation. I understand that if I do not take my supplements I will be removed from the study. I understand that during the supplementation period I will be required to participate in a structured exercise training program 3 times weekly, along with a daily energy-controlled diet. Study personnel will provide me with the guidelines for the exercise and diet program and I will be required to document my exercise training and dietary intake for review by one of the study's investigators. After baseline testing, I understand that following 4 days, 4 weeks, and 8 weeks of supplementation, I will be scheduled to return to the lab for subsequent testing. I understand that after taking the supplement for four days I will return to lab for a second testing session. I understand that I will be required to have my heart rate, blood pressure, and total body water determined. I understand that an indwelling catheter will be inserted into my antecubital vein using standard techniques and a blood sample will be taken. I understand that I will also donate a muscle biopsy sample. I will then undergo an oral glucose tolerance test, The oral glucose tolerance test will require me to ingest 75g of glucose and remain in the laboratory for 2 hours. Additional blood samples will be drawn at 30 minutes and one hour post glucose ingestion. At 2 hours post glucose ingestion, a blood and muscle sample will be taken. In addition, I will turn in a 4-day dietary record and complete a report of side effects from supplementation questionnaire to determine if I have experienced any unexpected problems or adverse events from participating in this study. I will return to the lab the following day for testing session number three. I understand that I will again have my heart rate, blood pressure, and body composition assessed. I understand that I will then donate another blood and muscle biopsy using the same techniques as described in testing session two. I understand that the blood and muscle biopsy sample will be taken on the contralateral arm and leg, respectively. I understand that I will then undergo a maximal cardiopulmonary treadmill test. For the maximal cardiopulmonary exercise treadmill test, I understand that I will then be positioned on the treadmill and a sterile mouthpiece will be placed in my mouth and a mouthpiece holder will be placed on my head. I understand that a nose clip will be placed on my nose and that the air I breathe will be measured for oxygen and carbon dioxide content. Once the equipment is attached, I will be given instructions to begin walking on the treadmill. I will then perform an exercise test that involves increasing the speed and grade I am walking on the treadmill until I reach my maximal effort. I understand that heart rate and my ratings of exertion will be monitored throughout the test. I understand that my heart rate and rhythm will be monitored by an electrocardiogram, where electrodes will be placed at standardized locations on my shoulders, hips, and chest. Once I reach my maximum, I understand that I will undergo a slow walking and seated recovery period. This test will take about 20 minutes to complete. Following the exercise test, additional blood samples will be drawn at 30 minutes and one hour post glucose ingestion. At 2 hours post glucose ingestion, a blood and muscle sample will be taken. After testing session three I will then begin my exercise and nutrition program, and continue taking the supplement. I understand that after four weeks I will return to the laboratory for a fourth testing session. I understand I will be required to have my heart rate, blood pressure, and
body composition determined, and undergo a maximal cardiopulmonary treadmill test. In addition, I will turn in a 4-day dietary record, four weeks of exercise training logs, and complete a report of side effects from supplementation questionnaire to determine if I have experienced any unexpected problems or adverse events from participating in this study. After testing session four, I will continue taking my supplement and resume my exercise and nutrition program for an additional four weeks. I understand that after a total of 8 weeks (four weeks following testing session four), I will return to the laboratory for a fifth and six testing session. I understand that I will be required to undergo the exact same battery of tests performed during the second and third testing sessions. In addition, I will turn in a 4-day dietary record, four weeks of exercise training logs, and complete a report of side effects from supplementation questionnaire to determine if I have experienced any unexpected problems or adverse events from participating in this study. I understand that if clinically significant side effects are reported, I will report those to Matthew Cooke, Ph.D, Geoffrey Hudson, MA, or Brian Shelmadine, MA. I may then be referred to discuss the problem with the ESNL physician, Dr. Ronald Wilson to determine whether any medical treatment is needed and/or whether I can continue in the study. I understand that if I fail to report my progress and health status to the research assistant I may be removed from the study. I agree to do my best to: 1) follow the instructions outlined by the investigators; 2) show up to all scheduled testing times; 3) take the supplements as instructed, and 4) comply with the exercise training and diet protocol. I agree not to take any other nutritional supplements or performance enhancing aids during this study (i.e., vitamins/minerals, creatine, HMB, androstenedione, DHEA, etc). In addition, I agree not to take any non-medically prescribed medications and to report any medication that is prescribed for me to take during this study. I understand that if I take any other nutritional supplements or medications during the course of the study that may affect body composition, or blood hormone levels that I may be removed from the study. Exclusionary Criteria I understand that in order to participate in the study, a trained individual will examine me to determine whether I qualify to participate. I understand that I will not be allowed to participate in this study if: 1) my body mass index (BMI) is not at least 25; 2) my resting blood glucose is not between 100mg/dL and 120mg/dL; 3) I have taken oral contraceptives in the past 2 months; 4) I have menstrual irregularity (e.g., oligomenorrhea or amenorrhea); 5) I have any known metabolic disorder including heart disease, arrhythmias, diabetes, thyroid disease, or hypogonadism; 6) I have a history of pulmonary disease, medically controlled hypertension, liver or kidney disease, musculoskeletal disorders, neuromuscular or neurological diseases, autoimmune disease, cancer, peptic ulcers, or anemia; 7) I am taking any heart, pulmonary, thyroid, anti-hyperlipidemic, hypoglycemic, anti-hypertensive, endocrinologic (e.g, thyroid, insulin, etc), psychotropic, neuromuscular/neurological; 8) I have a chronic infection (e.g., hepatitis, HIV, etc.); or 9) a known bleeding disorder. I have reported all nutritional supplements, medically prescribed drugs, and non-medically prescribed drugs that I am presently taking. I have completed medical history questionnaires and am not aware of any additional medical problems that would prevent me from participating in this study. I agree to report all changes in medical status, nutritional and/or pharmacological agents (drugs) that I take during the course of the investigation to Matthew Cooke, Ph.D. (254-710-4025), Geoffrey Hudson, MA (254-710-4012), or Brian Shelmadine, MA (254-710-4012).
Risks and Benefits I understand that the supplements to be investigated in this study have been studied for use as an anti-diabetic supplement in rats, have been used in few humans studies, but based on clinical trials it has been demonstrated that oral administration of these compounds is not associated with any significant medical side effects. These nutrients are currently available in over the counter nutritional supplements sold in the United States. As with any food or nutritional supplement, possible side effects may include stomach upset, gastrointestinal distress, allergic reactions, changes in mood and vigor, and/or changes in training adaptations. However, as with the vast majority of nutritional supplements, I understand that the FDA may not have evaluated the safety or marketing claims of resveratrol or pterostilbene.
I understand that I will be exposed to a low level of radiation during the DEXA body composition tests, which is similar to the amount of natural background radiation a person would receive in one month while living in Waco, TX. This analyzer is commercially available and has been used in the health care industry as a means to assess body composition for over 10 years. The use of the DEXA analyzer has been shown to be a safe method of assessing body composition and is approved by the FDA. I also understand that I will have about 3-4 teaspoons ( 7-15milliliters) of blood drawn from a vein in my forearm using a sterile needle and blood tubes by an experienced phlebotomist 18 times over the nine weeks of this study. This procedure may cause a small amount of pain when the needle is inserted into my vein as well as some bleeding and bruising. I may also experience some dizziness, nausea, and/or faint if I am unaccustomed to having blood drawn. I understand that I will have nine muscle biopsies performed by trained muscle physiologists over the nine weeks of this study. I understand that there may be some pain, minimal bleeding, and some residual bruising and soreness involved in this procedure. Specifically, I understand that there is a potential risk of contracting a community MRSA infection by participating in a muscle biopsy. I understand that if I feel it necessary I may take a non-prescription analgesic medication such as Tylenol to relieve pain if needed and that some soreness of the area may occur for about 24 hours after the biopsy. I will also be advised to avoid such medications such as aspirin, Advil, Bufferin, or Nuprin, as they may lead to bruising at the biopsy site. I understand that my exercise program may cause symptoms of fatigue, shortness of breath, and/or muscular fatigue/discomfort and soreness. I understand that I may also experience muscle strains/pulls during my exercise program. However, these risks will be similar to the risk of participating in any exercise program. I also understand that trained, non-physician exercise specialists certified in CPR will supervise exercise assessments. I understand that a telephone and an automated electronic defibrillator are in the laboratory in case of any emergencies and that there will be no less than two researchers working with me during each testing session. I understand that emergency procedures are posted in the lab in the unlikely event that any emergency may arise. I understand that the main benefit that may be obtained from this study is to determine whether providing 250mg of resveratrol or 250mg of pterostilbene, coupled with an exercise training and diet program, is effective at decreasing fat mass, and improving body composition, metabolism, cardiopulmonary performance, serum lipids, inflammatory markers, and hormones.
Alternative Treatments This is not a medical treatment. Therefore, if medical treatment is needed, I must continue to obtain treatment for any medical problem I might have from my personal physician. Costs and Payments If I am a Baylor University student, I will not receive any academic credit for participating in this study. I understand that if I am an intercollegiate scholarship athlete I may not be eligible to receive payment to participate in this study. If eligible I will be paid $150 for completing the familiarization and all experimental testing sessions over the course of the nine weeks. I also understand that I will be given free blood assessments during the course of the study as described above and may receive information regarding results of these tests if I desire. New Information Any new information obtained during the course of this research that may affect my willingness to continue participation in this study will be provided to me. In addition, I will be informed of any unusual/abnormal clinical findings in which medical referral to my personal physician may be warranted. If I desire, I may request that this information be provided to my physician. Confidentiality I understand that any information obtained about me in this research, including questionnaires, medical history, laboratory findings, or physical examination will be kept confidential to the extent permitted by law. However, I understand in order to ensure that FDA regulations are being followed, it may be necessary for a representative of the FDA to review my records from this study which may include questionnaires, medical history, laboratory findings/reports, statistical data, and/or notes taken about my participation in this study. In addition, I understand that my records of this research may be subpoenaed by court order or may be inspected by federal regulatory authorities. I understand that data derived may be used in reports, presentations, and publications. However, I will not be individually identified unless my consent is granted in writing. Additionally, that confidentiality will be maintained by assigning code numbers to my files, limiting access to data to research assistants, locking cabinets that store data, and providing passwords to limit access to computer files to authorized personnel only. I understand that once blood samples are analyzed that they will be discarded. Right to Withdrawal I understand that I am not required to participate in this study and I am free to refuse to participate or to withdraw from the study at any time. Further, that my decision to withdraw from the study will not affect my care at this institution or cause a loss of benefits to which I might be otherwise entitled. If there is concern about my medical safety, I may be referred to seek medical attention.
Compensation for Illness or Injury I understand that if I am injured as a direct result of taking part in this study, I should consult my personal physician to obtain treatment. I understand that the cost associated with the care and treatment of such injury will be the responsibility of me or my insurance carrier. In some cases, insurers may not reimburse claims submitted for a research-related injury resulting from medical procedures or treatments performed as part of a research study. I understand that Baylor University, the investigator's institutions, and the grant sponsor have not budgeted funds to compensate me for injury or illness that may result from my participation in this study and thus will not be accountable for illness or injury acquired during the course of this study. However, I may be referred to my personal physician if any clinically significant medical/psychological findings are observed during the course of this study. I agree to indemnify and hold harmless Baylor University, its officers, directors, faculty, employees, and students for any and all claims for any injury, damage or loss I suffer as a result of my participation in this study regardless of the cause of my injury, damage or loss. Statement on Conflict of Interest Funding for the study has been obtained from Sabinsa, Inc. (Piscataway, NJ) through research grants awarded to Baylor University. Researchers involved in collecting data in this study have no financial or personal interest in the outcome of results or sponsors. Voluntary Consent I certify that I have read this consent form or it has been read to me and that I understand the contents and that any questions that I have pertaining to the research have been, or will be answered by Matthew Cooke, PhD (Assistant Professor, Department of Health, Human Performance & Recreation, 118 Marrs McLean Gymnasium, Baylor University, phone: 254-710-4025), Geoffrey Hudson, MA (Doctoral Research Assistant Department of Health, Human Performance & Recreation, 117 Marrs McLean Gymnasium, Baylor University, phone: 254-710-4012), or Brian Shelmadine, MA (Doctoral Research Assistant Department of Health, Human Performance & Recreation, 117 Marrs McLean Gymnasium, Baylor University, phone: 254-710-4012). My signature below means that I am at least 18 years of age and that I freely agree to participate in this investigation. I understand that I will be given a copy of this consent form for my records. If I have any questions regarding my rights as a research subject in this study, I may contact Baylor's University Committee for Protection of Human Subjects in Research. The chairman is Dr. Matt Stanford, Professor, Department of Psychology and Neuroscience, P.O. Box 97334, Waco, TX 76798-7334, phone number 254-710-2961. Date
I certify that I have explained to the above individual the nature and purpose of the potential benefits and possible risks associated with participation in this study. I have answered any questions that have been raised and have witnessed the above signature. I have explained the above to the volunteer on the date stated on this consent form. Date
Wound Care for the Muscle Biopsy Procedure Handout
Complications resulting from the muscle biopsy procedure are rare. Furthermore, after
the procedure, you can reduce your risk of chance of infection by adhering to the
following course of action for wound care:
For approximately 24 hours post biopsy
• leave the bandage on for 24 hours (unless unexpected bleeding or pain occurs,
which should be immediately reported to the lab)
• lightly clean around the bandage if necessary • reapply a fresh adhesive bandage if necessary
• refrain from vigorous physical activity during the first 24 hours post biopsy
After approximately 24-48 hours post biopsy
• reapply a fresh adhesive bandage after 24-36 hours • return to normal hygiene practices after 48 hours unless complications arise
Possible Pain Side Effects
Soreness of the area may occur for about 24 hours post biopsy. Following the procedures
outlined above should significantly minimize pain and possible bleeding of the area.
However, some subjects experience no significant pain post biopsy.
☺ If needed, the subject may take non-prescription analgesic medication such as
Tylenol to relieve pain if needed.
Medications such as aspirin, Advil, Bufferin, or Nuprin, are discouraged as they
may lead to excess bruising at the biopsy site.
If any questions or complications arise please contact: Matthew Cooke, Ph.D.
Geoffrey Hudson, MA.
Room # 118 Marrs McLean Gym
Room # 117 Marrs McLean Gym
Baylor University
Exercise & Sport Nutrition Laboratory
NAME _
Date INSTRUCTIONS
1. Record everything you eat for 4 days (including one weekend day). If you eat pretzels,
record how many. If you eat a bag of chips, record the number of ounces. For drinks, record the number of cups or ounces. Record everything you drink except water.
2. Record the Food, Amount, Brand Name, and Preparation Methods. For example: baked
vs. fried chicken; 1 cup of rice; 2 teaspoons of margarine; 1 cup of 2% milk; McDonald's, Healthy Choice, or Frosted Flakes.
3. Record immediately after eating. Waiting until that night may make it difficult to
remember all foods and quantities.
Food (include brand)
Method of Preparation
Quantity (cups, oz.,
no.)
BREAKFAST: _ _
_ _
_ _
_ _
LUNCH: _ _
_ _
_ _
_ _
DINNER: _ _
_ _
_ _ _
_ _ _
SNACKS:
_
Baylor University
Exercise & Sport Nutrition Laboratory
NAME Date
INSTRUCTIONS
1. Record all daily physical activity including type, duration and distance covered
Day
Type (i.e. cycling, running)
Duration
Distance
covered _
Reported Side Effects Form
Subject #: Date:
Testing Session
Rate the
frequency of the
following symptoms according to the scale where: 0 = none 1 = minimal (1-2 per/wk) 2 = slight (3-4 per/wk) 3 = occasional (5-6 per/wk) 4 = frequent (7-8 per/wk) 5 = severe (9 or more per/wk) Dizziness?
Fast or racing heart rate?
Heart skipping or palpitations?
Shortness of breath?
Any other unusual or adverse
effects?
Rate the
severity of the following
symptoms according to the scale where: 0 = none 1 = minimal 2 = slight 3 = moderate 4 = severe 5 = very severe Dizziness?
Fast or racing heart rate?
Heart skipping or palpitations?
Shortness of breath?
Any other unusual or adverse
PLEASE REMEMBER TO REPORT ANY SIDE EFFECTS IMMEDIATELY.
Directions: If necessary, please contact either Darryn Willoughby, Ph.D. at 254-
3504 or Matt Cooke, Ph.D. at 254-710-4025. You may also e-mail either at
[email protected] or
[email protected].
Thanks for your participation!
Dear Medical Provider:
One of your patient's would like to participate in a study entitled "Effects of Resveratrol and
Pterostilbene Supplementation on Insulin and Exercise-Mediated Signaling Pathways for Glucose
Uptake in Overweight Insulin-Resistant Females: A Double-Blind, Clinically-Controlled Study" that
is being conducted by Matthew Cooke, Ph.D. (254-710-4025;
[email protected])
through the Exercise & Biochemical Nutrition Laboratory at Baylor University. In order to do so,
she must meet the entrance criteria described below and have approval from her personal
physician to participate in the study. The study will involve overweight, pre-diabetic, sedentary
pre-menopausal females who have not taken oral contraceptives for the two months prior to the
study. They also will be subjected to an oral glucose tolerance test and a maximal graded
exercise test on a treadmill on two occasions. Assessments will include obtaining venous blood
and muscle samples from the thigh, body composition measurements, and changes in maximal
oxygen consumption. In addition, each participant will participate in a dietary intervention and
circuit training exercise program for two months. Details about the study are described in the
attached study outline and consent form. If you feel she meets the entrance criteria and/or any
existing medical condition that she may have is under control and would not be a limitation for her
to participate in the study, please sign the medical clearance below. If you feel the need to
contact me, please feel free to do so.
Subjects
Approximately 45 overweight, sedentary, pre-diabetic, pre-menopausal females will participate in
this study. I understand that in order to participate in this study, a trained individual will examine
me to determine whether I qualify to participate. I understand that I will not be allowed to
participate in this study if: 1) I do not have physician's approval; 2) I have been on hormone
replacement therapy three months prior; 3) I do not have medically-managed hypertension,
glucose-intolerance, type II diabetes, thyroid conditions, hyperlipidemia and/or other controlled
medical conditions that my physician feels would benefit me from participation in this study; 4.) I
have taken nutritional supplements that may affect my antioxidant status (e.g., green tea, fish oil,
Vitamins C and E) for three months prior to the study 5.) I report any unusual adverse events
associated with this study that in consultation with the supervising physician recommends
removal from the study.
Medical Clearance
I medically clear
to participate in this study.
Physician's Name _
Physician's Signature _
Abbott, M. J., Edelman, A. M., & Turcotte, L. P. (2009). CaMKK is an upstream signal
of AMP-activated protein kinase in regulation of substrate metabolism in contracting skeletal muscle.
American Journal of Physiology. Regulatory, Integrative, and Comparative Physiology, 297(6), R1724-1732.
Ahmad, F., Khalid, P., Khan, M. M., Rastogi, A. K., & Kidwai, J. R. (1989). Insulin like
activity in (-) epicatechin.
Acta Diabetololgica Latina, 26(4), 291-300.
Ahmad, F., Khan, M. M., Rastogi, A. K., Chaubey, M., & Kidwai, J. R. (1991). Effect of
(-)epicatechin on cAMP content, insulin release and conversion of proinsulin to insulin in immature and mature rat islets in vitro.
Indian Journal of Experimental Biology, 29(6), 516-520.
Anandharajan, R., Pathmanathan, K., Shankernarayanan, N. P., Vishwakarma, R. A., &
Balakrishnan, A. (2005). Upregulation of Glut-4 and PPARgamma by an isoflavone from
Pterocarpus marsupium on L6 myotubes: a possible mechanism of action.
Journal of Ethnopharmocology, 97(2), 253-260.
Arias, E. B., Kim, J., Funai, K., & Cartee, G. D. (2007). Prior exercise increases
phosphorylation of Akt substrate of 160 kDa (AS160) in rat skeletal muscle.
American Journal of Physiology. Endocrinology and Metabolism, 292(4), E1191-1200.
Baar, K. (2004). Involvement of PPAR-gamma coactivator-1, nuclear respiratory factors
1 and 2, and PPAR alpha in the adaptive response to endurance exercise.
The Proceedings of the Nutrion Society, 63, 269-273.
Bailey, C. J. (1992). Biguanides and NIDDM.
Diabetes Care, 15, 755-772. Bailey, C. J., & Turner, R. C. (1996). Metformin.
New England Journal Medicine, 334,
Benson, J. W., Johnson, D. G., Palmer, J. P., Werner, P. L., & Ensinck, J. (1977).
Glucagon and catecholamine secretion during hypoglycemia in normal and diabetic man.
Journal of Clinical Endorcinology and Metabolism, 44(3), 459-464.
Bhathena, S. J., & Velasquez, M. T. (2002). Beneficial role of dietary phytoestrogens in
obesity and diabetes.
American Journal of Clinical Nutrition, 2002(76), 6.
Birnbaum, M. J. (1989). Identification of a novel gene encoding an insulin-responsive
glucose transporter.
Cell, 57, 305-315.
Bland, J. S. (1996). Phytonutrient, phytotherapy, and phytopharmocology.
Alternative
Therapies in Health and Medicine, 2, 73-76.
Boston, R. C., & Moate, P. J. (2008). NEFA minimal model parameters estimated from
the oral glucose tolerance test and the meal tolerance test.
American Journal of Physiology. Regulatory, Integrative, and Comparative Physiology, 285(2), R395-403.
Boudeau, J., Scott, J. W., Resta, N., Deak, M., Kieloch, A., Komander, D., et al. (2004).
Analysis of the LKB1-STRAD-MO25 complex.
Journal of Cell Science, 117(Pt 26), 6365-6375.
Breen, D. M., Sanli, T., Giacca, A., & Tsiani, E. (2008). Stimulation of muscle cell
glucose uptake by resveratrol through sirtuins and AMPK.
Biochemical and Biophysical Research Communicaitons, 374(1), 117-122.
Brozinik Jr., J. T., Roberts, B. R., & Dohm, G. L. (2003). Defective signaling throgh Alt-
2 and -3 but not Akt-1 in insulin-resistant human skeletal muscle potential role in insulin-resistance.
Diabetes, 52, 935-941.
Bruss, M., Arias, E., Lienhard, G., & Cartee, G. (2005). Increased phosphorylation of Akt
substrate of 160 kDa (AS160) in rat skeletal muscle in response to insulin or contractile activity.
Diabetes, 54, 41-50.
Cartee, G. D., & Katsuhiko, F. (2009). Exercise and Insulin: Convergence or divergence
at AS160 adn TBC1D1?
Exercise and Sport Science Reviews, 37(4), 188-195.
Casagrande, S., Wang, Y., Anderson, C., & Gary, T. (2007). Have Americans Increased
Their Fruit and Vegetable Intake? The Trends Between 1988 and 2002.
American Journal of Preventive Medicine, 32(4), 257-263.
Chikahisa, S., Fujiki, N., Kitaoka, K., Shimizu, N., & Sei, H. (2009). Central AMPK
contributes to sleep homeostasis in mice.
Neuropharmacology, 57(4), 369-374.
Choi, C. S., Befroy, D. E., Codella, R., Kim, S., Reznick, R. M., Hwang, Y. J., et al.
(2008). Paradoxical effects of increased expression of PGC-1alpha on muscle mitochondrial function and insulin-stimulated muscle glucose metabolism.
Proceedings of the National Academy of the Sciences of the United States of America, 105(50), 19926-19931.
Christ-Roberts, C. Y., Pratipanawatr, T., Pratipanawatr, W., Berria, R., Belfort, R.,
Kashyap, S., et al. (2004). Exercise training increases glycogen synthase activity and GLUT4 expression but not insulin signaling in overweight nondiabetic and type 2 diabetic subjects.
Metabolism, 53(9), 1233-1242.
Cichocki, M., Paluszczak, J., Szaefer, H., Piechowiak, A., Rimando, A. M., & Baer-
Dubowska, W. (2008). Pterstilbene is equally potent as resveratrol in inhibiting 12-
O-tetradecanoylphorbol-13-acetate activated NF-kappaB, AP-1, COX-2, and iNOS in mouse epidermis.
Molecular Nutrition & Food Research, 52(Suppl 1), S62-S70.
Csiszar, A., Smith, K., Labinskyy, N., Orosz, A., Rivera, A., & Ungvari, Z. (2006).
Resveratrol attenuates TNF-α-induced activation of coronary arterial endothelial cells: role of NF-κB inhibition.
American Journal of Physiology. Heart and Circulatory Physiology, 291, H1694-H1699.
Day, C. (1999). Thiazolidinediones: a new class of antidiabetic drugs.
Diabetic Medicine,
16(3), 179-192. doi: 10.1046/j.1464-5491.1999.00023.x
DeFronzo, R. A. (1988). Banting Lecture. From the triumvirate to the ominous octet: a
new paradigm for the treatment of type 2 diabetes mellitus.
Diabetes, 37, 667-687.
DeFronzo, R. A., Barzilai, N., & Simonson, D. C. (1991). Mechanism of metformin
action in obese and lean non insulin dependent diabetic subjects.
Journal of Clinical Endorcinology, 73, 1294-1301.
DeFronzo, R. A., Bonadonna, R. C., & Ferannini, E. (1992). Pathogenesis of NIDDM: a
balanced overview.
Diabetes Care, 15, 318-368.
de Kleijn, M. J., van der Schouw, Y. T., Wilson, P. W., Grobbee, D. E., & Jacques, P. F.
(2002). Dietary intake of phytoestrogens is associated with a favorable metabolic cardiovascular risk profile in postmenopausal U.S.women: the Framingham study.
Journal of Nutrition, 132(2), 276-282.
De Souza, A. T., Cornwell, P. D., Dai, X., Caguyong, M. J., & Ulrich, R. G. (2006).
Agonists of the peroxisome proliferator-activated receptor alpha induce a fiber-type-selective transcriptional response in rat skeletal muscle.
Toxicological Sciences., 92(2), 578-586. doi: 10.1093/toxsci/kfl019
Deshmukh, A., Coffey, V. G., Zhong, Z., Chibalin, A. V., Hawley, J. A., & Zierath, J. R.
(2006). Exercise-induced phosphorylation of the novel Akt substrates AS160 and filamin A in human skeletal muscle.
Diabetes 55(6), 1776-1782.
Donsmark, M., Langfort, J., Holm, C., Ploug, T., & Galbo, H. (2004). Contractions
induce phosphorylation of the AMPK site Ser565 in hormone-sensitive lipase in muscle.
Biochemical and Biophysical Research Communications, 316(3), 867-871.
Dreyer, H. C., Drummond, M. J., Glynn, E. L., Fujita, S., Chinkes, D. L., Volpi, E., et al.
(2008). Resistance exercise increases human skeletal muscle AS160/TBC1D4 phosphorylation in association with enhanced leg glucose uptake during postexercise recovery.
Journal of Applied Physiology, 105(6), 1967-1974.
Farese, R. V., Sajan, M. P., Yang, H., Li, P., Mastorides, S., Gower, W. R., Jr., et al.
(2007). Muscle-specific knockout of PKC-lambda impairs glucose transport and induces metabolic and diabetic syndromes.
Journal of Clinical Investigation, 117(8), 2289-2301.
Finck, B. N., Bernal-Mizrachi, C., Han, D. H., Coleman, T., Sambandam, N., LaRiviere,
L. L., et al. (2005). A potential link between muscle peroxisome proliferator- activated receptor-alpha signaling and obesity related diabetes.
Cell Metabolism, 1, 133-144.
Fisher, J. S., Gao, J., Han, D. H., Holloszy, J. O., & Nolte, L. A. (2002). Activation of
AMP kinase enhances sensitivity of muscle glucose transport to insulin.
Amercian Journal of Physiology. Endocrinology and Metabolism, 282(1), E18-23.
Fosgerau, K., Fledelius, C., Pedersen, K. E., Kristensen, J. B., Daugaard, J. R., Iglesias,
M. A., et al. (2006). Oral administration of glucose promotes intracellular partitioning of fatty acid toward storage in white but not in red muscle.
Journal of Endocrinology, 190(3), 651-658.
Freyssenet, D., Di Carlo, M., & Hood, D. A. (1999). Calcium-dependent regulation of
cytochrome c gene expression in skeletal muscle cells. Identification of a protein kinase c-dependent pathway.
The Journal of Biological Chemistry, 247(14), 9305-9311.
Galuska, D., Zierath, J., Thorne, A., Sonnenfeld, T., & Wallberg-Henriksson, H. (1991).
Metformin increases insulin-stimulated transport in insulin-resistant human skeletal muscle.
Diabete & Metabolisme, 17, 159-163.
Gervois, P., Fruchart, J. C., & Staels, B. (2007). Drug Insight: mechanisms of action and
therapeutic applications for agonists of peroxisome proliferator-activated receptor.
Nature Clinical Practice. Endocrinology & Metabolism, 3(2), 145-156.
Gilde, A. J. V. B., M. (2003). Peroxisome proliferator-activated receptors (PPARS):
regulators of gene expression in heart and skeletal muscle.
Acta Physiologica, 178, 425-434.
Ginsberg, H. N. (2003). Treatment for patients with metabolic syndrome.
American
Journal of Cardiology, 91, 29E-39E.
Goldberg, D. M., Yan, J., & Soleas, G. J. (2003). Absorption of three wine-related
polyphenols in three difference matrices by healthy subjects.
Clinical Biochemisty, 36, 79-87.
Goodyear, L. J., Giorgino, F., Sherman, L. A., Carey, J., Smith, R. J., & Dohm, G. L.
(1995). Insulin receptor phosphorylation, insulin receptor substrate I phosphorylation and phosphatidylinositol 3-kinase activity are decreased in intact skeletal muscle strips from obese subjects.
The Journal of Clinical Investigation, 95, 2195-2204.
Grover, J. K., Vats, V., & Yadav, S. (2002). Effects of feeding aqueous extract of
pterocarpus marsupium on glycogen content of tissues and the key enzymes of carbohydrate metabolism.
Molecular and Cellular Biochemistry, 241, 53-59.
Grover, J. K., Vats, V., & Yadav, S. S. (2005). Pterocarpus marsupium extract
(Vijayasar) prevented the alteration in metabolic patterns induced in the normal rat by feeding an adequate diet containing fructose as sole carbohydrate.
Diabetes, Obesity, and Metabolism, 7, 414-420.
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B.
A., et al. (2005). Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement.
Circulation, 112(17), 2735-2752.
Guma, A., Zierath, J. R., Wallberg-Henriksson, H., & Klip, A. (1995). Insulin induces
translocation of GLUT-4 glucose transporters in human skeletal muscle.
The American Journal of Physiology, 268, E613-E622.
Hällsten, K., Virtanen, K. A., Lönnqvist, F., Sipilä, H., Oksanen, A., Viljanen, T., et al.
(2002). Rosiglitazone but not metformin enhances insulin- and exercise-stimulated skeletal muscle glucose uptake in patients with newly diagnosed type 2 diabetes.
Diabetes, 51(12), 3479-3485.
Han, B., Tong, J., Zhu, M. J., Ma, C., & Du, M. (2008). Insulin-like growth factor-1
(IGF-1) and leucine activate pig myogenic satellite cells through mammalian target of rapamycin (mTOR) pathway.
Molecular Reproduction and Development, 75(5), 810-817.
Hawley, S. A., Boudeau, J., Reid, J. L., Mustard, K. J., Udd, L., Makela, T. P., et al.
(2003). Complexes between the LKB1 tumor suppressor, STRAD alpha/beta and MO25 alpha/beta are upstream kinases in the AMP-activated protein kinase cascade.
Journal of Biology, 2(4), 28.
Holloszy, J. O. (2005). Exercise-induced increase in muscle insulin sensitivity.
Journal of
Applied Physiology, 99, 338-343.
Hougee, S., Faber, J., Sanders, A., de Jong, R. B., van den Berg, W. B., Garssen, J., et al.
(2005). Selective COX-2 inhibition by a Pterocarpus marsupium extract characterized by pterostilbene, and its activity in healthy human volunteers.
Planta Medica, 71(5), 387-392.
Howlett, K. F., Mathews, A., Garnham, A., & Sakamoto, K. (2008). The effect of
exercise and insulin on AS160 phosphorylation and 14-3-3 binding capacity in human skeletal muscle.
American Journal of Physiology. Endocrinology and Metabolism, 294(2), E401-407.
Howlett, K. F., Sakamoto, K., Garnham, A., Cameron-Smith, D., & Hargreaves, M.
(2007). Resistance exercise and insulin regulate AS160 and interaction with 14-3-3 in human skeletal muscle.
Diabetes, 56, 1608-1614.
Indian Council of Medical Research. (1998). Flexible dose open trial of Vijayasar in
cases of newly-diagnosed non-insulin-dependent diabetes mellitus.
Indian Journal of Medical Research, 108, 24-29.
Inzucchi, S. E., Maggs, D. G., Spollett, G. R., Page, S. L., Rife, F. S., Walton, V., et al.
(1998). Efficacy and metabolic effects of metformin and troglitazone in type II diabetes mellitus.
New England Journal of Medicine, 338(13), 867-872.
Jahromi, M. A., & Ray, A. B. (1993). Antihyperlipidemic effect of flavonoids from
Pterocarpus marsupiu.
Journal of Natural Products, 56(7), 989-994.
Jessen, N., Pold, R., Buhl, E. S., Jensen, L. S., Schmitz, O., & Lund, S. (2003). Effects of
AICAR and exercise on insulin-stimulated glucose uptake, signaling, and GLUT-4 content in rat muscles.
Journal of Applied Physiology, 94(4), 1373-1379.
Kane, S., Sano, H., Liu, S., Asara, J. M., Lane, W. S., Garner, C. C., et al. (2002). A
method to identify serine kinase substrates: Akt phosphorylates a novel adipocyte protein with a Rab GTPase activating protein (GAP) domain.
The Journal of Biological Chemistry, 277, 22115-22118.
Kar, A., Choudhary, B. K., & Bandyopadhyay, N. G. (2003). Comparative evaluation of
hypoglycaemic activity of some Indian medicinal plants in alloxan diabetic rats.
J Ethnopharmacology, 84(1), 105-108.
Karlsson, H., & Zierath, J. (2007). Insulin signaling and glucose transport in insulin
resistant human skeletal muscle.
Cell Biochemistry and Biophysics, 48, 103-113.
Karlsson, H. K., Ahlsen, M., Zierath, J. R., Wallberg-Henriksson, H., & Koistinen, H. A.
(2006). Insulin signaling and glucose transport in skeletal muscle from first-degree relatives of type 2 diabetic patients.
Diabetes, 55(5), 1283-1288.
Katan MB, G. S., Jones P, Law M, Miettinen, T., & Paoletti, R. (2003). Efficacy and
safety of plant stanols and sterols in the management of blood cholesterol levels.
Mayo Clinic Proceedings. Mayo Clinic, 78(8), 965-978.
Kedar, P., & Chakrabarti, C. H. (1981). Blood sugar, blood urea and serum lipid as
influenced by
Gurmar preparation,
Pterocarpus marsupium, and
Taramindus indica in diabetes mellitus.
Marashtra Medical Journal, 28, 165.
Kiens, B. (2006). Skeletal muscle lipid metabolism in exercise and insulin resistance.
Physiolical Reviews, 86(1), 205-243.
Kim, C., Siscovick, D. S., Sidney, S., Lewis, C. E., Kiefe, C. I., & Koepsell, T. D. (2002).
Oral contraceptive use and association with glucose, insulin, and diabetes in young adult women: the CARDIA Study. Coronary Artery Risk Development in Young Adults.
Diabetes Care, 25(6), 1027-1032.
Kim, Y. B., Ciaraldi, T. P., Kong, A., Kim, D., Chu, N., Mohideen, P., et al. (2002).
Troglitazone but not metformin restores insulin-stimulated phosphoinositide 3-kinase activity and increases p110beta protein levels in skeletal muscle of type 2 diabetic subjects.
Diabetes, 51(2), 443-448.
Kim, Y. B., Nikoulina, S. E., Ciaraldi, T. P., Henry, R. R., & Kahn, B. B. (1999). Normal
insulin-dependent activation of Akt/protein kinase B, with diminished activation of phosphoinositide 3-kinase, in muscle in type 2 diabetes.
The Journal of Clinical Investigation, 104, 733-741. doi: 10.1172/JCI6928
King, A. C., Haskell, W. L., Young, D. R., Oka, R. K., & Stefanick, M. L. (1995). Long-
term effects of varying intensities and formats of physical activity on participation rates, fitness, and lipoproteins in men and women aged 50 to 65 years.
Circulation, 91(10), 2596-2604.
Kirpichnikov, D., McFarlane, S. I., & Sowers, J. R. (2002). Metformin: An Update.
Annals of Internal Medicine, 137, 25-33.
Kjaer, M. (1998). Hepatic glucose production during exercise.
Advances in Experimental
Medicine and Biology, 441, 117-127.
Koshinaka, K., Kawasaki, E., Hokari, F., & Kawanaka, K. (2009). Effect of acute high-
intensity intermittent swimming on post-exercise insulin responsiveness in epitrochlearis muscle of fed rats.
Metabolism, 58(2), 246-253. doi: 10.1016/jmetabol.2008.09.021
Koshinaka, K., Oshida, Y., Han, Y. Q., Kubota, M., Viana, A. Y., Nagasaki, M., & Sato,
Y. (2004). Insulin-nonspecific reduction in skeletal muscle glucose transport in high-fat-fed rats.
Metabolism, 53, 912-917. doi: 10.1016/j.metabol.2003.12.026
Koves, T. R., Ussher, J. R., Noland, R. C., Slentz, D., Mosedale, M., Ilkayeva, O., et al.
(2008). Mitochondrial overload and incomplete fatty acid oxidation contribute to skeletal muscle insulin resistance.
Cell Metabolism, 7(1), 45-56.
Kramer, H. F., Witczak, C. A., Fujii, N., Jessen, N., Taylor, E. B., Arnolds, D. E., et al.
(2006). Distinct signals regulate AS160 phosphorylation in response to insulin, AICAR, and contraction in mouse skeletal muscle.
Diabetes, 55(7), 2067-2076.
Kubota, M., Koshinaka, K., Kawata, Y., Loike, T., & Oshida, Y. (2008). Effects of
continuous low-carbohydrate diet after long-term exercise on glut-4 protein content in rat skeletal muscle.
Hormone and Metabolic Research, 40(24-28).
Larance, M., Ramm, G., Stöckli, J., van Dam, E. M., Winata, S., Wasinger, V., et al.
(2005). Characterization of the role of the Rab GTPase-activating protein AS160 in insulin-regulated GLUT4 trafficking.
The Journal of Biological Chemistry, 280(45), 37803-37813.
Large, V., & Beylot, M. (1999). Modifications of citric acid cycle activity and
gluconeogenesis in streptozotocin-induced diabetes and effects of metformin.
Diabetes, 48, 1251-1257.
Latres, E., Amini, A. R., Amini, A. A., Griffiths, J., Martin, F. J., Wei, Y., et al. (2005).
Insulin-like growth factor-1 (IGF-1) inversely regulates atrophy-induced genes via the phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway.
Journal of Biological Chemistry, 280(4), 2737-2744.
Lawrence, J. M., Reid, J. L., & Taylor, G. J. (2004). Favourable effects of pioglitizome
and metformin compared with gliclazide on lipoprotein subfraction in overweight patients with early type 2 diabetes.
Diabetes Care, 27(1), 41-46.
Lee, W., Kim, M., Park, H. S., Kim, H. S., Jeon, M. J., Oh, K. S., et al. (2006). AMPK
activation increases fatty acid oxidation in skeletal muscle by activating PPARalpa and PGC-1.
Biochemical and Biophysical Research Communications, 340, 291-265.
Lee-Young, R. S., Canny, B. J., Myers, D. E., & McConell, G. K. (2009). AMPK
activation is fiber type specific in human skeletal muscle: effects of exercise and short-term exercise training.
Journal of Applied Physiology, 107(1), 283-289.
Liang, H., & Ward, W. (2006). PGC-1alpa: a key regulator of energy metabolism.
Advances in Physiology Education, 30, 145-151.
Liu, L. Z., Zhao, H. L., Zuo, J., Ho, S. K., Chan, J. C., Meng, Y., et al. (2006). Protein
kinase Czeta mediates insulin-induced glucose transport through actin remodeling in L6 muscle cells.
Molecular Biology of the Cell, 17(5), 2322-2330.
Lizcano, J., & Alessi, D. (2002). The insulin signalling pathway.
Current Biology, 12(7),
Long, Y. C., Barnes, B. R., Mahlapuu, M., Steiler, T. L., Martinsson, S., Leng, Y., et al.
(2005). Role of AMP-activated protein kinase in the coordinated expression of genes controlling glucose and lipid metabolism in mouse white skeletal muscle.
Diabetologia, 48(11), 2354-2364.
Lund, S., Tarnow, L., Stehouwer, C. D., Schalkwijk, C. G., Frandsen, M., Smidt, U. M.,
et al. (2007). Targeting hyperglycaemia with either metformin or repaglinide in non-obese patients with type 2 diabetes: results from a randomized crossover trial.
Diabetes, Obesity, & Metabolism, 9, 394-407.
Manickam, M., Ramanathan, M., Farboodniay Jahromi, M. A., Chansoria, J. P. N., &
Ray, A. B. (1997). Anithyperglycemic activity of phenolics from
Pterocarpus marsupium.
Journal of Natural Products, 60, 609-610.
Manna, S., Mukhopadhyay, A., & Aggarwal, B. (2000). Resveratrol suppresses TNF-
induced activation of nuclear transcription factors NF-κB, Activator Protien-1, and Apoptosis: potential rols of reactive oxygen intermediates and lipd peroxidation.
The Journal of Immunology, 164, 6509-6519.
Marignani, P. A., Scott, K. D., Bagnulo, R., Cannone, D., Ferrari, E., Stella, A., et al.
(2007). Novel splice isoforms of STRADalpha differentially affect LKB1 activity, complex assembly and subcellular localization.
Cancer Biology & Therapy, 6(10), 1627-1631.
Marley, J. V., Davis, S., Coleman, K., Hayhow, B. D., Brennan, G., Mein, J. K., et al.
(2007). Point-of-care testing of capillary glucose in the exclusion and diagnosis of diabetes in remote Australia.
The Medical Journal of Australia, 186(10), 500-503.
Martin, A., Villegas, I., Sanchez-Hildalgo, M., & Alarcon, C. (2006). The effects of
resveratrol, a phytoalexin derived from red wines, on chronic inflammation induced in an experimentally induced colitis model.
The Journal of Pharmacology, 147, 873-885.
Matsuda, M., & De Fronzo, R. (1999). Insulin sensitivity indices obtained from oral
glucose tolerance testing: Comparison with the euglycemic insulin clamp.
Diabetes, 22, 1462-1470.
Matsumoto, Y., Imai, Y., Yoshida, L., Sugita, Y., Tanaka, T., Tsujimoto, G., et al.
(2004). Upregulation of the transcript level of GTPase activating protein KIAA0603 in T cells from patients with atopic dermatitis.
FEBS Letters, 572, 135-140.
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner,
R. C. (1985). Homeostasis model assessment: Insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.
Diabetologia, 28(7), 412-419.
McGee, S. L., Howlett, K. F., Starkie, R. L., Cameron-Smith, D., Kemp, B. E., &
Hargreaves, M. (2003). Exercise increases nuclear AMPK alpha2 in human skeletal muscle.
Diabetes, 52(4), 926-928.
Mehnert, H. (2001). Metformin, the rebirth of a biguanide: mechanism of action and
place in the prevention and treatment of insulin resistance.
Experimental and Clinical Endocrinology & Diabetes, 109(Supp 2), S259-S264.
Michael, L. F., Wu, Z., Cheatham, R. B., Puigserver, P., Adelmant, G., Lehman, J. J., et
al. (2001). Restoration of insulin-sensitive glucose transporter (GLUT4) gene expression in muscle cells by the transcriptional coactivator PGC-1.
Proceedings of the National Academy of Sciences of the United States of America, 98(7), 3820-3825.
Minnich, A., Tian, N., Byan, L., & Bilder, G. (2001). A potent PPARalpha agonist
stimulates mitochondrial fatty acid beta-oxidation in liver and skeletal muscle.
Americal Journal of Physioogy. Endocrinology and Metabolism, 280(2), E270-279.
Mizuno, C. S., Ma, G., Khan, S., Patny, A., Avery, M. A., & Rimando, A. M. (2008).
Design, synthesis, biological evaluation and docking studies of pterostilbene analogs inside PPARalpha.
Bioorganic & Medicinal Chemistry, 16(7), 3800-3808.
Mohire, N. C., Salunkhe, V. R., Bhise, S. B., & Yadav, A. V. (2007). Cardiotonic activity
of aqueous extract of heartwood of Pterocarpus marsupium.
Indian Journal of Experimental Biology, 45(6), 532-537.
Mojotima, K. (1993). Peroxiome Proliferator-Activated Receptor (PPAR); Structure,
Mechanisms of Activation and Diverse Functions.
Cell Structure and Function, 18, 267-277.
Moller, D. E., & Greene, D. A. (2001). Peroxisome proliferator-activated receptor
(PPAR) γ agonists for diabetes.
Advances in protein chemistry, 56, 181-212.
Morino, K., Petersen, K. F., Dufour, S., Befroy, D., Frattini, J., Shatzkes, N., et al.
(2005). Reduced mitochondrial density and increased IRS-1 serine phosphorylation in muscle of insulin-resistant offspring of type 2 diabetic parents.
Journal of Clinical Investigation, 115(12), 3587-3593.
Mourao, C. A., Sa, J. R., Guedes, O. M., & Dib, S. A. (2006). Effect of metformin on the
glycemic control, lipid profile and arterial pressure of type 2 diabetic patients with metabolic syndrome already on insulin.
Brazilian Journal of Medical Research, 39, 489-494.
Mukhtar, H. M, Ansari, S. H., Ali, M., Bhat Z. A., & Naved, T. (2005). Effect of aqueous
extract of Pterocarpus marsupium wook on alloxan-induced diabetic rats.
Pharmazie, 60(6), 478-479.
Muoio, D. M., & Koves, T. R. (2007). Skeletal muscle adaptation to fatty acid depends
on coordinated actions of the PPARs and PGC1 alpha: implications for metabolic disease.
Applied Physiology, Nutrition, and Metabolism, 32(5), 874-883.
National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation,
and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). (2002). Third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report.
Circulation, 106, 3143-3421.
Norgren, S., Zierath, J., Wedell, A., Wallberg-Henriksson, H., & Luthman, H. (1994).
Regulation of human insulin receptor RNA splicing in vivo.
Proceedings of the National Academy of the Sciences of the United States of America, 91(1465-1469).
Norris, A. W., Hirshman, M. F., Yao, J., Jessen, N., Musi, N., Chen, L., et al. (2008).
Endogenous peroxisome proliferator-activated receptor-gamma augments fatty acid uptake in oxidative muscle.
Endocrinology, 149(11), 5374-5383.
Novo, S., Balbarini, A., Belch, J. J., Bonura, F., Clement, D. L., Diamantopoulos, E., et
al. (2008). The metabolic syndrome: definition, diagnosis and management.
International Angiology, 27(3), 220-231.
Ojuka, E. O., Jones, T. E., Nolte, L. A., Chen, M., Wamhoff, B. R., Sturek, M., et al.
(2002). Regulation of GLUT4 biogenesis in muscle: evidence for involvement of AMPK and Ca(2+).
American Journal of Physiology. Endocrinology and Metabolism, 282(5), E1008-1013.
Okura, T., Nakata, Y., Ohkawara, K., Numao, S., Katayama, Y., Matsuo, T., et al. (2007).
Effects of aerobic exercise on metabolic syndrome improvement in response to weight reduction.
Obesity, 15(10), 2478-2484.
Otake, Y., Hsieh, F., & Walle, T. (2002). Glucuronidation versus oxidation of the
flavanoid galangin by human liver microsomes and hepatocytes.
Drug Metabolism and Disposition, 30, 576-581.
Pari, L., & Satheesh, M. A. (2006). Effect of pterostilbene on hepatic key enzymes of
glucose metabolism in streptozotocim- and nicotinamide-induced diabetic rats.
Life Sciences, 79(7), 641-645.
Park, C. E., Kim, M. J., Lee, J. H., Min, B. I., Bae, H., Choe, W., et al. (2007).
Resveratrol stimulates glucose transport in C2C12 myotubes by activating AMP-activated protein kinase.
Experimental & Molecular Medicine, 39(2), 222-229.
Petersen KF, K. M., Inzucchi S, Cline GW, Dufour S, Shulman GI. (2000). Mechanism
of troglitazone action in type 2 diabetes.
Diabetes, 49(5), 827-831.
Prior, B. M., Cureton, K. J., Modlesky, C. M., Evans, E. M., Sloniger, M. A., Saunders,
M., et al. (1997). In vivo validation of whole body composition estimates from dual-energy X-ray absorptiometry.
Journal of Applied Physiology, 83(2), 623-630.
Radziuk, J., Zhang, Z., Wiernsperger, N., & Pye, S. (1997). Effects of metformin on
lactate uptake and gluconeogenisis in the perfused rat liver.
Diabetes, 46, 1406-1413.
Ramm, G., Larance, M., Guihaus, M., & James, E. (2006). A role for 14-3-3 in insulin
stimulated GLUT4 translocation through its interaction with RabGAP AS160.
Journal of Biological Chemistry, 281, 29174-29180.
Raney, M. A., & Turcotte, L. P. (2008). Evidence for the involvement of CaMKII and
AMPK in Ca2+-dependent signaling pathways regulating FA uptake and oxidation in contracting rodent muscle.
Journal of Applied Physiology, 104(5), 1366-1373.
Remsberg, C. M., Yanez, J. A., Ohgami, Y., Vega-Vialla, K. R., Rimando, A. M., &
Davies, N. M. (2008). Pharmacometrics of Pterostilbene: preclinical pharmokinetics and metabolism, anticancer, antiinflammatory, antioxidant, and analgesic activity.
Pytotherapy Research, 22, 169-179.
Rimando, A. M., Nagmani, R., Feller, D. R., & Yokoyama, W. (2005). Pterostilbene, a
new agonist for the peroxisome proliferator-activated receptor alpha-isoform, lowers plasma lipoproteins and cholesterol in hypercholesterolemic hamsters.
Journal of Agricultural and Food Chemistry, 53(9), 3403-3407.
Russell, A. P., Feilchenfeldt, J., Schreiber, S., Praz, M., Crettenand, A., Gobelet, C., et al.
(2003). Endurance training in humans leads to fiber type-specific increases in levels of peroxisome proliferator-activated receptor-gamma coactivator-1 and peroxisome proliferator-activated receptor-alpha in skeletal muscl.
Diabetes, 52(12), 2874-2881.
Saha, A., & Ruderman, N. (2003). Malonyl-CoA and AMP-activated protein kinase: an
expanding partnership.
Molecular and Cellular Biochemistry, 253, 63-70.
Sakamoto, K., & Holman, G. D. (2008). Emerging role for AS160/TBC1D4 and
TBC1D1 in the regulation of GLUT4 traffic.
American Journl of Physiology. Endocrinology and Metabolism, 295(1), E29-37.
Salpeter, S., Greyber, E., Pasternak, G., & Salpeter, E. (2006). Risk of fatal and nonfatal
lactic acidosis with metformin us in type 2 diabetes mellitus.
Cochrane Database of Systematic Reviews, 1: art no CD002967.
Saltiel, A., & Kahn, C. (2001). Insulin signalling and the regulation of glucose and lipid
metabolism.
Nature, 13(414), 799-806.
Sano, H., Kane, S., Sano, E., Mîinea, C. P., Asara, J. M., Lane, W. S., et al. (2003).
Insulin-stimulated phosphorylation of a Rab GTPase-activating protein regulates GLUT4 translocation.
The Journal of Biological Chemistry, 278, 14599-14602.
Satheesh, A., & Pari, M. (2006). The antioxidant role of pterostilbene in streptozotocin-
nicotinamide-induced type 2 diabetes mellitus in Wistar rats.
Journal of Pharmaceutical and Biomedical Analysis, 43(1), 250-254.
Saxena, A., & Vikram, N. K. (2004). Role of selected Indian plants in management of
type 2 diabetes: a review.
Journal of Alternative and Complementary Medicine, 10(2), 369-378.
Schafer, G. (1983). Biguanides: a review history, pharmacodynamics and therapy.
Diabetes/Metabolism Reviews, 9, 148-163.
Sesti, G. (2006). Pathophysiology of insulin resistance.
Best Practice & Research
Clinical Endocrinology & Metabolism, 20(4), 665-679.
Sharma, P. (1996).
Dravya guna vigyan (17th ed. Vol. 2). Shen, Q. W., Zhu, M. J., Tong, J., Ren, J., & Du, M. (2007). Ca2+/calmodulin-dependent
protein kinase kinase is involved in AMP-activated protein kinase activation by alpha-lipoic acid in C2C12 myotubes.
American Journal of Physiology. Cell Physiology, 293(4), C1395-1403.
Sheperd, P. R., & Khan, B. B. (1999). Glucose transporters and insulin action.
The New
England Journal of Medicine, 341, 248-257.
Shier, P., & Watt, W. M. (1989). Primary structure of a putative receptor for a ligand of
the insulin family.
The Journal of Biological Chemistry, 264, 14605-14668.
Shirai, H., Oishi, K., Kudo, T., Shibata, S., & Ishida, N. (2007). PPARalpha is a potential
therapeutic target of drugs to treat circadian rhythm sleep disorders.
Biochemical and Biophysical Research Communications, 357(3), 679-682.
Short, K. R., Vittone, J. L., Bigelow, M. L., Proctor, D. N., Rizza, R. A., Coenen-
Schimke, J. M., et al. (2003). Impact of aerobic exercise training on age related changes in insuling sensitivity and muscle oxidative capacity.
Diabetes, 52(8), 1888-1896.
Shulman, G. (2000). Cellular mechanisms of insulin resistance.
The Journal of Clinical
Investigation, 106, 171-176.
Spangenburg, E. E., Brown, D. A., Johnson, M. S., & Moore, R. L. (2009). Alterations in
peroxisome proliferator-activated receptor mRNA expression in skeletal muscle after acute and repeated bouts of exercise.
Molecular and Cellular Biochemistry, 332(1-2), 225-231.
Sriwijitkamol, A., Coletta, D. K., Wajcberg, E., Balbontin, G. B., Reyna, S.M.,
Barrientes, J., .Musi, N. (2007). Effect of acute exericse on AMPK signaling in skeletal muscle of subjects with type 2 diabetes: a time-course and does-response study.
Diabetes, 56, 836-848. Doi: 10.2337/db06-1119
Stenmark, H., & Olkkonen, V. M. (2001). The Rab GTPase family.
Genome Biology,
2(5), REVIEWS3007. Electronic Publication. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC138937/pdf/gb-2001-2-5-reviews3007.pdf
Straughan, J. L. (2007). Focus on metformin - a major cardiovascular medication
Cardiovascular Journal of Africa, 18(5), 331-333.
Stumvoll, M., Nurjahan, N., Perriello, G., Dailey, G., & Gerich, J. E. (1995). Metabolic
effects of metformin in non-insulin dependent diabetes mellitus.
New England Journal of Medicine, 333, 550-554. Retrieved from http://content.nejm.org/cgi/content/full/333/9/550
Surh, Y. J. (2003). Cancer chemoprevention with dietary phytochemicals.
Nature
Reviews. Cancer, 3, 768-780.
Suwa, M., Egashira, T., Nakano, H., Sasaki, H., & Kumagai, S. (2006). Metformin
increases the PGC-1alpha protein and oxidative enzyme activities possibly via AMPK phosphorylation in skeletal muscle in vivo.
Journal of Applied Physiology, 101(6), 1685-1692.
Tabak, H. F., Braakman, I., & Distel, B. (1999). Peroxisomes: simple in function but
complex in maintenance.
Trends in Cell Biology, 9(11), 447-453.
Towler, M., & Hardie, D. (2007). AMP-Activated Protein Kinase in Metabolic Control
and Insulin Signalin.
Circulation Research, 100, 328-341.
Treebak, J. T., Birk, J. B., Rose, A. J., Kiens, B., Richter, E. A., & Wojtaszewski, J. F.
(2007). AS160 phosphorylation is associated with activation of alpha2beta2gamma1- but not alpha2beta2gamma3-AMPK trimeric complex in skeletal muscle during exercise in humans.
American Journal of Physiology. Endocrinology and Metabolsim, 292(3), E715-E722.
Treebak, J. T., Glund, S., Deshmukh, A., Klein, D. K., Long, Y. C., Jensen, T. E., et al.
(2006). AMPK-mediated AS160 phosphorylation in skeletal muscle is dependent on AMPK catalytic and regulatory subunits.
Diabetes 55(7), 2051-2058.
U.S. Department of Health and Human Services, Centers for Disease Control and
Prevention, National Center for Chronic Disease Prevention and Health Promotion. (2009).
Diabetes successes and opportunities for population-based prevention and control: at a glance 2009. Retrieved from http://www.cdc.gov/chronicdisease/resources/publications/AAG/pdf/diabetes.pdf
van den Bosch, H., Schutgens, R. B., Wanders, R. J., & Tager, J. M. (1992).
Biochemistry of peroxisomes.
Annual Review of Biochemistry, 61, 157-197.
van Loon, L. J., & Goodpaster, B. H. (2006). Increased intramuscular lipid storage in the
insulin-resistant and endurance-trained state.
Pflugers Archiv, 451(5), 606-616.
Vega, R. B., Huss, J. M., & Kelley, D. P. (2000). The coactivator PGC-1 cooperates with
peroxisome proliferator-activated receptor alpha in transcriptional fatty acid oxidation enzymes.
Molecular Biology of the Cell, 20, 1868-1876.
Vignaud, A., Cebrian, J., Martelly, I., Caruelle, J. P., & Ferry, A. (2005). Effect of anti-
inflammatory and antioxidant drugs on the long-term repair of severly injured mouse skeletal muscle.
Experimental Physiology, 90(4), 487-495.
Vitarius, J. A. (2005). The metabolic syndrome and cardiovascular disease.
Mount Sinai
Journal of Medicine, 72, 257-262.
Wahren, J., Felig, P., Ahlborg, G., & Jorfeldt, L. (1971). Glucose metabolism during leg
exercise in man.
Journal of Clinical Investigation, 50(12), 2715-2725.
Walle, T., Hsieh, F., DeLegge, M. H., Oatis, J. E. J., & Walle, U. K. (2004). High
absorption but very low bioavailability of oral resveratrol in humans.
Drug Metabalism and Disposition, 32, 1377-1382.
Watt, M. J., Southgate, R. J., Holmes, A. G., & Febbraio, M. A. (2004). Suppression of
plasma free fatty acids upregulates peroxisome proliferator-activated receptor (PPAR) alpha and delta and PPAR coactivator 1alpha in human skeletal muscle, but not lipid regulatory genes.
Journal of Molecular Endocrinology, 33(2), 533-544.
Wells, J. C., Fuller, N. J., Dewit, O., Fewtrell, M. S., Elia, M., & Cole, T. J. (1999). Four-
component model of body composition in children: density and hydration of fat-free mass and comparison with simpler models.
American Journal of Clinical Nutrition, 69(5), 904-912.
Wen, X., & Walle, T. (2006). Methylated flavanoids have greatly improved intestinal
absorption and metabolic stability.
Drug Metabolism and Disposition, 34, 1786-1792.
Wenzel, E., & Somoza, V. (2005). Metabolism and bioavailability of trans-resveratrol.
Molecular Nutrition & Food Research, 49, 472-481.
White, J. A., Ismail, A. H., & Bradley, C. A. (1978). Serum insulin and glucose response
to graded exercise in adults. Part I: the influence of fitness status.
British Journal of Sports Medicine, 12(2), 80-86.
Wiernsperger, N., & Bailey, C. J. (1999). The antihyperglycemic effect of metformin:
therapeutic and cellular mechanisms.
Drugs, 58(Suppl 1), 31-39.
Willoughby, D. S., Stout, J. R., & Wilborn, C. D. (2007). Effects of resistance training
and protein plus amino acid supplementation on muscle anabolism, mass, and strength.
Amino Acids, 32(4), 467-477.
Willoughby, D. S., & Wilborn, C. D. (2006). Estradiol in females may negated skeletal
muscle myostatin mRNA expression and serum myostatin propeptide levels after eccentric muscle contractions.
Journal of Sport Science and Medicine, 5(4), 672-681.
Wilsoloff, U., Ellingsen, O., & Kemi, O. J. (2009). High intensity Interval Training to
Maximize Cardiac Benefits of Exercise Training.
Exercise and Sport Science Reviews, 37(3), 139-146.
Winder, W. W., Taylor, E. B., & Thomson, D. M. (2006). Role of AMP-activated protein
kinase in the molecular adaptation to endurance exercise.
Medicine & Science in Sports & Exercise, 38(11), 1945-1949.
Winnick, J. J., Sherman, W. M., Habash, D. L., Stout, M. B., Failla, M. L., Belury, M. A.,
et al. (2007). Shortt-term aerobic exercise training in obese humans with type 2 diabetes mellitus improves whole-body insulin sensitivity through gains in peripheral, not hepatic insulin sensitvity.
Journal of Clinical Endorcinology and Metabolism, 93(3), 771-778.
Witczak, C. A., Sharoff, C. G., & Goodyear, L. J. (2008). AMP-activated protein kinase
in skeletal muscle: from structure and localization to its role as a master regulator of cellular metabolism.
Cellular and Molecular Life Science, 65(23), 3733-3755.
Xu, J., Kochanek, K.D., & Tejada-Vera, B.CDC. (2009). Deaths: Preliminary Data for
2007.
National Vital Statistics Report, 58, 1-52. Retrieved from http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_01.pdf
Ye, J., Dzamko, N., Hoy, A., Iglesias, M., Kemp, B., & Kraegen, E. (2006).
Rosiglitazone treatment enhances acute AMP-activated protein kinase-mediated muscle and adipose tissue glucoe uptake in high-fat-fed rats.
Diabetes, 55(10), 2797-2804.
Yeo, W. K., Lessard, S. J., Chen, Z. P., Garnham, A. P., Burke, L. M., Rivas, D. A., et al.
(2008). Fat adaptation followed by carbohydrate restoration increases AMPK activity in skeletal muscle from trained humans.
Journal of Applied Physiology, 105(5), 1519-1526.
Young, F. G. (1963). Insulin and Insulin Antagonism.
Endocrinology, 73, 654-664.
Source: https://beardocs.baylor.edu/xmlui/bitstream/handle/2104/7948/brian_shelmadine_phd.pdf?sequence=1
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