Clinical trial NCT01813929
Conditions: Type 1 Diabetes
Keywords: Diabetes Insulin Metformin Vascular Vessels Type 1
Sponsor: University of Colorado, Denver
Start date: 2011-06-01; Completion date: 2017-03-24
Enrollment: 23 participants; Allocation: RANDOMIZED; Intervention model: CROSSOVER

Brief summary:
Insulin resistance (IR) is an important contributor to increased cardiovascular disease risk in type 1 diabetes (T1D). The purpose of this study is to measure the effect of metformin on insulin sensitivity, vascular function and compliance, and mitochondrial function in T1D. The long term goal is to identify novel non-glycemic approaches to managing cardiovascular disease risk in T1D. The results of this study may validate a novel approach to T1D treatment that could significantly improve current management of cardiovascular disease risk in this high risk population.

Detailed description:

Arms: arm 1: None arm 2: None
Interventions: intervention 1: Metformin intervention 2: Placebo
Intervention descriptions: intervention 1: Six week intervention: Study drug/placebo will be given in a forced uptitration with 500 mg once daily for one week, 500 mg twice daily for one week, 500/1000 for one week, and then 1000mg twice daily for the remainder of the 6 week intervention. If uptitration is not tolerated, max dose will be max tolerated dose of at least 500 mg twice daily. intervention 2: Six-week intervention: Study drug/placebo will be given in a forced uptitration with 500 mg once daily for one week, 500 mg twice daily for one week, and then the higher dose (850 mg) for the remainder of the 6 week intervention.

Protocol documents:
Prot_SAP_000.pdf: 
On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 1 
CF-146, Effective 4-26-2010 
 
w 
 
COMIRB Protocol 
 
PROTOCOL #: 
 
11-0693 
(Use Protocol Manager on the COMIRB Website) 
COLORADO MULTIPLE INSTITUTIONAL REVIEW BOARD 
CAMPUS BOX F-490    TELEPHONE:  303-724-1055  Fax:  303-724-0990 
 
 
 
Project Title: Effect of Metformin on Vascular and Mitochondrial Function in Type 1 
Diabetes 
 
 
 
Version date: 6/10/2015 
 
Principal Investigator:  Irene Schauer, MD, PhD 
 
 
 
 
 
  
 
I. Hypotheses and Specific Aims:   
Underlying Hypotheses: (1) IR is an important, clinically unaddressed contributor to increased 
CVD risk in T1D. (2) Treatment of insulin resistance with metformin will improve insulin action, 
endothelial function, arterial compliance, and mitochondrial function in T1D.                   
The proposed pilot study is a mechanistic study addressing the hypothesis that the clinically available agent, 
metformin, widely used as first line therapy in type 2 diabetes, will improve insulin action and vascular 
function and have the previously unstudied benefit of reducing mitochondrial oxidant generation in 
T1D. Targeting IR is a novel approach to T1D treatment that may significantly improve current management 
of TID and of CVD risk in this high risk population.    
Specific Aims: 
SA#1: Determine the effect of metformin on insulin sensitivity in T1D.   
Hypothesis 1: Metformin will improve insulin sensitivity and insulin signaling in T1D subjects similarly to type 
2 diabetic subjects. Approach: T1D subjects (n=30) will have placebo then metformin added to their usual 
insulin regimen for six weeks in a single-blinded, cross-over design study. Continuous glucose monitoring 
(CGM) will be performed throughout to allow statistical adjustment for changes in glycemic control and to 
facilitate insulin dose adjustment to avoid hypoglycemia. Insulin sensitivity will be measured by two-stage (8, 
40 mU/m2/min) hyperinsulinemic euglycemic clamp with glucose tracer and insulin signaling will be 
measured in muscle biopsy samples.  
SA#2: Determine the effect of metformin on vascular and mitochondrial sequelae of insulin resistance 
Hypothesis 2: Metformin will improve vascular and mitochondrial measures in T1D subjects supporting a 
role for IR in vascular disease in T1D. Approach: T1D subjects (n=30) will have placebo and then metformin 
added to their usual insulin regimen for six weeks as in SA#1. Vascular function will be measured by flow-
mediated dilation, overall vascular reactivity by venous plethysmography, and arterial compliance by 
applanation tonometry (Sphygmacor Vx device) and brachial artery distensibility (DynaPulse). Heart rate 
variability will be assessed as a measure of cardiac sympathetic nervous system balance. Mitochondrial 
function will be assayed by respirometry (Oroboros Oxygraph O2K) and oxidant generation by Amplex Red 
(invitrogen) in muscle biopsy samples. A subset of subjects (n=10) will also have mitochondrial function 
assessed by 31P-MRS to measure ATP production. 
The results of the above study may support an important new therapeutic approach to T1D 
and thus have the potential to significantly alter the future of cardiovascular disease risk 
management and mortality in T1D.  
II. Background and Significance:   
The prevalence of cardiovascular disease (CVD) is increased in type 1 diabetes (T1D) at least as much as in 
T2D, and CVD remains the leading cause of death in T1D despite improvement in glycemic control and 
aggressive management of standard CVD risk factors1-5. Recent studies suggest that we have reached the 
limit of our ability to safely control glucose levels with currently available therapy6-8. In addition, we and 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 2 
CF-146, Effective 4-26-2010 
 
others have found that existing CVD risk prediction models do not accurately identify T1D individuals at risk 
for CVD9, suggesting that management of standard CVD risk factors may be inadequate in T1D. Clearly 
there is a significant gap in our therapeutic approach to CVD risk in T1D. Insulin resistance (IR) is a potential 
candidate for a novel therapeutic target to fill that gap. IR, a known correlate of, and possible contributor to, 
CVD disease in type2 diabetes (T2D)6, 7, 10-19 and in the general population11, 20-26, is also present in T1D but 
is less well understood in this setting27-30. For example, IR is present even in T1D individuals who lack all 
features of the metabolic syndrome phenotype that characterizes IR in other populations31-33. In the 
Pittsburgh EDIC study and the DCCT, estimated IR predicted CVD events34, 35, suggesting that IR is a 
correlate of CVD in T1D as well35, 36. We have found that a direct measure of IR correlates with coronary 
artery calcification (CAC), a surrogate marker for CVD, in T1D. IR thus represents a novel therapeutic target 
with the potential to impact CVD risk in T1D. However, the best approach to intervention and possible 
cardiovascular benefits of such intervention are unknown. 
Treatment targeted at improving insulin resistance is standard of care for type 2 diabetes and has been 
shown to improve cardiovascular mortality independent of glucose control and standard cardiovascular risk 
factors. In type 2 diabetes, metabolic syndrome, and polycystic ovarian syndrome metformin improves 
measures of blood vessel function and stiffness, measures that correlate with cardiovascular disease risk. 
Insulin resistance in type 2 diabetes is also associated with mitochondrial dysfunction and considerable 
recent evidence supports a synergistic relationship between endothelial function and mitochondrial health. 
Metformin appears to exert its beneficial effects tissues and blood vessels at least in part through decreased 
mitochondrial reactive oxygen species (ROS) generation 37-42. A number of small studies have explored 
metformin’s effects on glycemic control, lipids, and insulin dosing in T1D 43. These studies have found 
metformin to be safe and well tolerated in T1D. Decreases in insulin requirement seen in these studies 
support an insulin sensitizing or other glucose utilization promoting effect of metformin. However, the effect 
of metformin on other measures in T1D is largely unstudied. The primary goal of this proposal is to measure 
the effect of metformin on insulin sensitivity, vascular function and compliance, and mitochondrial function in 
T1D. The long term goal is to identify novel non-glycemic approaches to managing cardiovascular disease 
risk in T1D. The results of this study may validate a novel approach to T1D treatment that could significantly 
improve current management of cardiovascular disease risk in this high risk population.  
Overall Hypothesis: Treatment of insulin resistance with metformin will improve insulin action, 
endothelial function, arterial compliance, and mitochondrial function in T1D. 
MODEL: We propose that IR contributes to CVD risk in T1D through acute effects on vascular 
function and on mitochondrial 
function and ROS generation (Figure 
1).  These studies test the ability of 
insulin sensitization with metformin 
to improve vascular and 
mitochondrial function and 
challenge the dogma that glycemic 
control is the only diabetes-specific 
clinical intervention needed for 
optimal management of T1D and the 
associated CVD risk. The results of 
these clinical translational studies 
may identify new pharmacological 
approaches to CVD risk in T1D and 
could alter the future of T1D 
management. 
III. Preliminary Studies/Progress Report:   
Introduction: The preliminary data presented below provide support for the proposed hypotheses and 
demonstrate my ability to perform the proposed studies with the mentorship and training described in the 
career development plan. The data fall into three main categories: (1) data collected in a sub-study of the 
NIH-CACTI study (PI Dr. Marian Rewers) measuring insulin action in a subset of T1D and non-DM subjects 
from the CACTI cohort in which I was extensively involved, (2) analyses of data from the overall CACTI study 
generated specifically in response to this sub-study, and (3) data from Dr. McCurdy demonstrating our ability 
to measure insulin signaling in tissue biopsy samples.  
Figure 1 
INSULIN 
RESISTANCE 
Decreased insulin-
stimulated eNOS 
Mito nutrient overload 
(Hyperglycemia, 
NEFA elevation) 
Decreased mito 
proliferation 
Endothelial dysfunction, 
↑vascular stiffness 
INCREASED CVD 
RISK/MORTALITY 
ROS 
production 
Endothelial cell 
apoptosis, vascular 
inflammation 
Metf
Metf 
Metf


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 3 
CF-146, Effective 4-26-2010 
 
Table 1: Baseline characteristics for clamp sub-study 
T1DM 
Control
(n=40)
(n=47)
Age (years)
45.2 ± 9.2
45.9 ± 7.2
0.7
M/F
19/21
20/27
--
Duration of DM (years)
22.6 ± 7.8
--
--
HbA1c (%)
7.5 ± 0.9
5.4 ± 0.3
<0.0001
Fasting preclamp glucose (mg/dl)
116 ± 39
96 ± 8
0.0024
Fasting preclamp insulin (μU/ml) 
32 ± 28
8.7 ± 3.9
<0.0001
Body fat (%)
28.6 ± 7.5
29.6 ± 7.1
0.53
BMI (kg/m2)
27.0 ± 4.4
26.0 ± 4.1
0.31
Visceral fat area (cm2)
72.7 ± 50.5
80.5 ± 50.5
0.49
Subcutaneous fat area (cm2)
271 ± 126
273 ± 112
0.97
Sagittal diameter (mm)
214 ± 36
214 ± 31
0.96
Waist circumference (cm)
88.5 ± 12.3
86.3 ± 12.4
0.42
waist:hip ratio
0.84 ± 0.08
0.83 ± 0.09
0.44
Liver/spleen density ratio
1.26 ± 0.08
1.24 ± 0.24
0.58
Total cholesterol (mg/dl)
139.9 ± 32.4
171.1 ± 28.8
<0.0001
HDL-cholesterol (mg/dl)
58.0 ± 22.4
53.4 ± 15.0
0.27
Triglycerides (mg/dl)
69.7 ± 33.8
108.0 ± 57.2
0.0002
LDL-cholesterol
67.6 ± 24.8
96.1 ± 26.0
<0.0001
Systolic blood pressure (mmHg)
114 ± 11
113 ± 10
0.61
Diastolic blood pressure (mmHg)
73 ± 7
76 ± 8
0.09
On Htn meds (%)  
45
13
0.0005
Habitual physical activity (logkcal)
7.2 ± 1.2
7.4 ± 7.1
0.42
Adiponectin (geomtric mean±SD)
10.9 ± 1.7
8.2 ± 1.8
0.02
Cortisol
11.8 ± 4.3
11.5 ± 4.4
0.8
p-value
CACTI study: We are prospectively following CAC in a large cohort of T1D and non-DM subjects. The study 
enrolled 1,416 individuals between 19 and 56 years of age with no known history of CVD. Subjects with T1D 
(n=652) had longstanding T1D, were insulin-dependent within a year of diagnosis, and were either 
diagnosed at <30 years of age, antibody positive, or had a clinical course consistent with T1D. Visits for 
measurement of CAC by electron beam CT occurred at baseline, year 3, and year 6.  The overall CACTI 
study has been described elsewhere44, 45. 
IR sub-study: 87 subjects (40 T1D, 47 
non-DM) were recruited from the CACTI 
cohort to undergo 3-stage 
hyperinsulinemic euglycemic clamps for 
measurement of insulin action. Subjects 
were excluded for HbA1c >9.5 or 
macroalbuminuria. Baseline 
characteristics are shown in Table 1. T1D 
and non-DM groups were well matched for 
age, BMI, body fat, and habitual physical 
activity. T1D subjects had higher HbA1c 
and fasting glucose values as expected. In 
addition, significant differences were found 
in LDL, total cholesterol, triglycerides, and 
adiponectin, with T1D subjects having 
“better” (i.e. lower CVD risk) values in all 
categories. Though liver fat has been 
found to be a strong indicator of IR in T2D, 
we observed no differences in a measure 
of liver fat content, liver:spleen density 
ratio. These data show that the T1D 
subjects in our sub-study cohort do not 
exhibit a metabolic phenotype by criteria of 
HDL, TG, waist circumference, blood 
pressure, or BMI. In fact, by lipid criteria, 
our non-DM cohort appears more IR than 
our T1D cohort.  
IR in T1D: Despite the lack of metabolic syndrome characteristics, hyperinsulinemic euglycemic clamps 
reveal that our T1D subjects are significantly more insulin resistant than our non-DM subjects [glucose 
infusion rate (mg/kgFFM/min) 4.46±0.48 vs. 8.58 ±0.45, p<0.0001] (Table 2). Multiple adjustments shown in 
Table 2, including age, fasting glucose, final clamp glucose and insulin, and BMI or visceral fat area 
attenuate the difference in IR only very slightly46. These data raise the possibility of IR as a novel therapeutic 
target in T1D. 
 
Glycemic control and IR: Linear regression analysis shows no correlation between either HbA1c or 
continuous glucose monitoring (CGM) measures of glycemic variability, hyperglycemia, or hypoglycemia and 
GIR (Table 3) or failure of NEFA suppression (not shown). Furthermore, when analyzed by HbA1c quartile, 
no significant differences in GIR are found across the quartiles (not shown). Thus within these moderately 
controlled T1D subjects glycemic control 
does not appear to mediate or affect IR.  
Table 3: Glycemic control and IR 
Mean ± SD
r-value
p-value
HbA1c
7.5 ± 0.9
0.13
0.5
CGM parameters:
    Mean glucose
141 ± 26
0.2
0.26
    % > 180
26.2 ± 12.9
0.25
0.14
    % < 70
16.2 ± 11.9
-0.02
0.91
    Overall SD
65.9 ± 20.1
0.21
0.22
correlation to GIR
Table 2: Hyperinsulinemic-euglycemic clamp results
T1D
non-DM
p-value
Stage 3 clamp parameters:
     Final clamp glucose (mg/dl)
89.1 ± 3.2
89.9 ± 3.4
0.28
     Final clamp insulin
106 ± 35
99 ± 30
0.36
Glucose Infusion Rate (mg/min/kgFFM)
   Unadjusted Mean ± SD
5.8 ± 3.5
13.2 ± 5.7
<0.0001
   LS MEAN  ± SE, adjusted for age, sex, BMI,  
      final glucose and insulin, fasting glucose
   LS MEAN  ± SE, adjusted for age, sex, VF,  
      final glucose and insulin, fasting glucose
<0.0001
<0.0001
12.71 ± 0.66
12.75 ± 0.62
6.19 ± 0.72
6.24 ± 0.68


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 4 
CF-146, Effective 4-26-2010 
 
Adipocyte IR in T1D: Early clamp stages with lower insulin infusion rates reveal the novel finding that 
adipocyte IR is also greater in T1D than in non-DM subjects (Fig 2). Baseline fasting NEFA levels did not 
differ by diabetes status, and, as expected, were higher in women (620±26) than in men (463±32), p=0.0004. 
At 8mU/m2/min of insulin (clamp stage 2), NEFA levels were more suppressed in non-DM (193±24 μM) than 
T1D (370±26) subjects, p<0.0001. In addition, 
the sex difference observed at baseline is 
reversed in non-DM, but not T1D subjects, such 
that the highest NEFA levels are in T1D women 
(405±33), while the lowest levels are in non-DM 
women (137± 29), p<0.0001, indicating greater 
relative adipose tissue IR in T1D women than 
men. The observation that fasting NEFA levels 
are not different by diabetes status despite 
overnight IV insulin to normalize AM glucose 
levels and resulting high AM insulin levels in 
T1D subjects also sup-ports adipose tissue IR 
in T1D. Glycerol levels show a similar pattern 
(not shown), suggesting that failure of NEFA 
suppression reflects failure to suppress 
lipolysis, a potential mechanism for a role of IR 
in CVD. 
Coronary artery calcification in T1D: 6 year 
CAC data for the entire T1D cohort were examined in linear regression models. Adjustment for standard 
CVD risk factors attenuated the increased risk of CAC progression, but did not eliminate it. In a forward 
selection multivariate analysis after adjustment for all standard cardiac risk factors that affect the model, 
including presence of CAC at baseline, the OR of progression of CAC from baseline to 6 years in T1D 
relative to non-DM was maximally decreased by 49.7% to 1.7 (1.1-2.6). Thus only half of the increase in 6 
year progression of CAC in T1D is explained by known CVD risk factors.  
Correlation of CAC to IR: Presence of CAC and progression of CAC were found to correlate inversely with 
GIR and directly with NEFA levels during clamp stage 2 for both T1D and non-DM groups after adjustment 
for age (Table 4)47. By logistic regression 
analysis the odds ratio for existence of 
CAC is 0.45 for every 1 SD increase in 
GIR and 2.4 for every 1 SD increase in 
stage 2 NEFA levels. These data support 
the underlying rationale for studying IR in 
T1D, indicating that as in other 
populations, IR is a correlate and predictor 
of CVD.  
Increased vascular stiffness in T1D 
correlates with an estimate of IR: 
Measurement of pulse wave 
augmentation index (AI), a measure of 
arterial stiffness, has been performed in a 
large subset of the CACTI population (n=385). After adjustment for age and gender, AI remains significantly 
greater in T1D than non-DM subjects (mean, 95% confidence interval: 19.5, 18.2 - 20.7 vs. 16.6, 15.4 - 17.7; 
p=0.0011). When estimated glucose disposal calculated by the Pittsburgh prediction equation30 is added to 
the model the effect of T1D is completely lost, suggesting that the increased arterial stiffness seen in T1D 
may be explained by their increased IR.  
 
IV. Research Methods  
A.  Outcome Measure(s):   
• Primary outcomes (post each intervention period (placebo vs Metformin): (1) Glucose infusion rate (GIR) 
during high insulin infusion in hyperinsulinemic euglycemic clamps, (2) Endothelial function measured as 
percent flow-mediated brachial artery dilation (FMD),  
Spearman correlation coefficient 
IR vs CAC volume for total cohort (n=87) 
 
V3 CAC 
volume 
Baseline to V3 
change in CAC 
V2 to V3 
change in CAC 
GIR (mg/kg 
FFM/min) 
-0.42 
(p<0.0001) 
-0.41 
(p<0.0001) 
-0.24 
(p=0.028) 
Stage 2 NEFA 
level (μM) 
0.41 
(p<0.0001) 
0.40 
(p=0.0001) 
0.27 
(p=0.01) 
 
Logistic regression analysis 
Odds ratio for any CAC at visit 3 (n=87) 
 
OR per 1 SD change 
p-value 
GIR (mg/kg FFM/min) 
0.45 (0.22-0.93) 
0.03 
Stage 2 NEFA level(μM) 
2.40 (1.08-5.32) 
0.032 
Table 4: IR predicts CAC and correlates with CAC volume  
4 
0
200
400
600
800
1000
0
110
120
200
210
290
300
380
390
Clamp Time (minutes)
NEFA (µM)
DM women
non-DM women
DM men
non-DM men
4mU/m2/min
8mU/m2/min
40mU/m2/min
0
200
400
600
800
1000
0
110
120
200
210
290
300
380
390
Clamp Time (minutes)
NEFA (µM)
DM women
non-DM women
DM men
non-DM men
4mU/m2/min
8mU/m2/min
40mU/m2/min
Figure 1: §Least square means adjusted for age, BMI (kg/m2), 
gender, starting glucose concentration, and time point insulin 
level. * p < 0.05 for difference by diabetes in men; # by diabetes 
in women;  † p < 0.05 for sex difference in DM; ‡ in nonDM. 
T1D 
T1D 
2 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 5 
CF-146, Effective 4-26-2010 
 
• Secondary (confirmatory and exploratory) outcomes (post each intervention period (placebo vs metformin): 
(1) NEFA suppression during clamp stage 2, (2) arterial stiffness (PWV and AI),  (3) CGM measures of 
hyperglycemia, hypoglycemia, and glycemic variability for one week prior to each clamp, (4) Metabolic 
(NEFA, lipids, insulin, glucose), inflammatory (IL-6, TNF-α, hsCRP, adiponectin), thrombotic (PAI-1), 
oxidative stress (urinary isoprostane, TBARs), and endothelial (ICAM, endothelin-1) markers at baseline 
each study day, (5) Counter-regulatory hormones (cortisol, growth hormone, glucagon, and 
catecholamines prior to each clamp, (6) Respiratory quotient at baseline and after low dose insulin 
infusion, (7) Heart rate variability, (8) Mitochondrial content (DNA and electron transport chain complexes), 
(9) Mitochondrial function (carbohydrate and lipid oxidation, max state 3 O2 consumption, uncoupled O2 
consumption), (10) Mitochondrial state 3 O2 consumption, (11) Mitochondrial oxidant generation (H2O2 
production, glutathione redox state), and (12) Mitochondrial ATP production/ADP depletion by 31P-MRS. 
 
B.  Description of Population to be Enrolled:  Study Design and Research Methods   
Hypotheses: Metformin will improve (1) insulin action, (2) vascular function and compliance, and (3) 
mitochondrial function and oxidant generation in T1D subjects supporting a therapeutic role for metformin in 
T1D management, including CVD risk management.  
 
Specific Aims: Specific Aim 1: Determine the effect of metformin on IR in T1D. Specific Aim 2: Determine 
the effect of metformin on vascular correlates of IR. Specific Aim 3: Determine the effect of metformin on 
mitochondrial function and oxidant generation.  
Overall research plan: I propose to address these hypotheses and aims with a single-blinded, fixed-order , 
placebo-controlled cross-over design study in T1D subjects. The intervention will consist of 6 weeks of 
treatment with metformin, separated from the placebo period by a ≥ 2 weeks washout period. The fixed order 
is needed because we and others have found persistent residual effects from metformin treatment, and the 
necessary washout period is not known. Metformin has been studied to a limited degree in T1D, primarily in 
terms of glycemic control. It has been found to be safe and well-tolerated in these studies (Vella) and the 
proposed dose and duration have precedent in the literature. Dr. Phillipe Walravens at this institution has 
performed a study using metformin in T1D youth. From his contact with the FDA, an IND is not required for 
this study.  
 
Surrogate measures of CVD risk: The proposed study uses known sequelae of IR as surrogate markers 
for longterm cardiovascular damage 
(Figure 3)48. The proposed markers 
are 
well supported in the literature as 
sequelae of IR, as mediators and/or 
predictors of CVD outcomes or CVD 
mortality, and as measures capable 
of 
response to short-term interventions. 
Endothelial function: It is generally accepted and widely supported in the literature that IR states are 
accompanied by impaired endothelial function49, 50 and that endothelial dysfunction responds to acute 
manipulations51 and correlates with CVD risk and outcomes52. Arterial stiffness and central blood pressure: 
Central artery stiffness is increased in obesity and diabetes, including T1D, and correlates with IR in T2D and 
non-DM populations53. Arterial stiffness54 correlates with CVD mortality and central arterial blood pressure 
measured by applanation tonometry appears to be a stronger predictor of CVD than overall blood pressure55. 
Arterial stiffness is increased with just two hours of physiological-range NEFA elevation by lipid infusion and 
is thus a dynamic vascular measure56.Mitochondrial function and oxidant generation: Though proposed as a 
mechanism for IR, most data supports mitochondrial dysfunction and resulting oxidant generation as a 
sequela of IR and a contributor to complications thereof57, 58. NO has recently been shown to play a key role 
in mitochondrial biogenesis and function suggesting that vascular IR may be a contributor to this 
mitochondrial dysfunction59. Sympathetic nervous system (SNS) activation: IR states are accompanied by 
SNS activation and considerable evidence supports this as a contributor to CVD risk60. NO plays a key role 
in modulating SNS activity suggesting again that vascular IR may play a role in SNS activation61, 62.  
 
Recruitment: 100 eligible T1D subjects (50% male) will be enrolled for this study with the goal of starting 40 
subjects in order to complete both arms in 30 T1D subjects (see power analysis). Recruitment will be by IRB 
approved flyers and email advertisement, and through clinical providers at the University Hospital and 
Barbara Davis Institute Endocrinology clinics. Subjects will also be recruited from the CACTI cohort (>1100 
Insulin 
Resistance
Insulin-
stimulated 
NO
Sympathetic NS
Mitochondrial ROS
Endothelial function
Arterial stiffness
Central blood pressure
CVD
Figure 2
Insulin 
Resistance
Insulin-
stimulated 
NO
Sympathetic NS
Mitochondrial ROS
Endothelial function
Arterial stiffness
Central blood pressure
CVD
Figure 2
Insulin 
Resistance
Insulin-
stimulated 
NO
Sympathetic NS
Mitochondrial ROS
Endothelial function
Arterial stiffness
Central blood pressure
CVD
Figure 2
Insulin 
Resistance
Insulin-
stimulated 
NO
Sympathetic NS
Mitochondrial ROS
Endothelial function
Arterial stiffness
Central blood pressure
CVD
Insulin 
Resistance
Insulin-
stimulated 
NO
Sympathetic NS
Mitochondrial ROS
Endothelial function
Arterial stiffness
Central blood pressure
CVD
Figure 23 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 6 
CF-146, Effective 4-26-2010 
 
active members) by mass mailing to the full cohort of an IRB-approved letter describing the study, followed 
by phone calls to invite questions. Although this cohort is an epidemiological outcome cohort, and the initial 
opinion was that this duration of intervention was inappropriate for such a study, funding pressures have 
influenced the CACTI PI to consider mechanistic studies and to agree that a short term metformin 
intervention is acceptable. In fact, a large grant to expand upon this pilot study is currently pending with the 
NIH. A strength of this study is thus access to the existing NIH-CACTI cohort that has been prospectively 
studied for ≥6 years. This is an active cohort with a great interest in diabetes and its management, and 
recruitment of 90 subjects for our recent clamp sub-study was easily accomplished.  
   
Study population: The goal is to complete 30 T1D subjects (50% male in each group) for the pilot study. We 
expect to screen up to 100 subjects to enroll 40 and complete 30. Inclusion criteria:(1)age 20-59 years of age, 
(2) type 1 diabetes based on antibody-positivity, rapid persistent conversion to insulin requirement after 
diagnosis, absent C-peptide, or DKA at diagnosis, or a clinical course consistent with T1D,  (3) HbA1c 6.0-9.5 
(4) willing/able to commit to two 6 week-long study phases, each consisting of blinded medication with blinded 
CGM, frequent phone follow-up, and 3 days of prescribed diet  followed by hyperinsulinemic euglycemic clamp, 
vascular testing, and 2 muscle biopsies. Exclusion criteria include:  
• 
Any comorbid condition associated with inflammation, IR, or dyslipidemia 
• 
Tobacco use 
• 
Pregnancy 
• 
Steroid use 
• 
Scheduled vigorous physical activity >3 days a week 
• 
Angina, known CAD, or any other cardiovascular or pulmonary disease 
• 
A history of COPD or asthma  
• 
Presence of systolic blood pressure >190 at rest or >250 with exercise or diastolic pressure >95 at rest or 
>105 with exercise   
• 
Untreated thyroid disease 
• 
Proteinuria (urine protein >200 mg/dl) or a creatinine > 1.5 mg/dl(males) or 1.4 mg/dL (females), 
suggestive of severe renal disease  
• 
Proliferative retinopathy. 
• 
Niacin treatment 
• 
Administration of experimental agent for T1D within 30 days prior to screening  
• 
Recent (prior 6 months) or current metformin or thiazolidenedione use 
• 
Hypoglycemia unawareness or recurrent severe hypoglycemia (no symptoms of hypoglycemia with 
FSBS<40 and episodes of this severity >1 per week) 
• 
Weight instability (weight change >5% in last 6 months) 
• 
History of any organ transplant, including islet cell transplant 
• 
Current or prior infection with HIV, hepatitis B or hepatitis C, or transaminases >2x ULN 
• 
Any condition, medical or otherwise that would, in the opinion of the investigator, prevent complete 
participation in the study, or that would pose a significant hazard to the subject  
• 
History of substance abuse within the 12 months prior to screening 
 
Screening: A phone screen will be followed by provision of the consent form and a screening/enrollment visit 
at the outpatient CTRC. This visit will include the consent process, history, physical exam, non-fasting 
screening labs [ß-HCG, HbA1c, metabolic panel, TSH, urine microalbumin, and CBC], detailed menstrual 
history for women, and a DEXA scan for body composition and estimation of caloric needs.  
 
Study design:   
T1D subjects (n=30) will have a fixed order of treatment (placebo-metformin) and will be given their first 
medication after screening is complete and eligibility confirmed. Medications (metformin 500, 1000mg and 
identical placebo) will be dispensed by the pharmacy and the subject will be blinded to the fixed order of the 
medications to avoid biased treatment effects throughout the intervention period. As in previous Barbara 
Davis Center (BDC) metformin studies, this study will use the CTRC pharmacy to dispense the active drug 
and placebo. Both are provided by Caraco manufacturer. My colleagues at the BDC already purchased 
tooling for the Caraco brand placebo tablets and the company has agreed to make more placebo tablets for 
this study as necessary to cut out the upfront cost of tooling.  


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 7 
CF-146, Effective 4-26-2010 
 
Insulin dosing during treatment will be per the subjects’ usual insulin regimens with continuous 
glucose monitoring (CGM) throughout. CGM for the first four weeks will be real-time and monitored to allow 
insulin dose adjustments if needed to avoid hypoglycemia. The last two weeks of CGM will be blinded and 
the last week of data will be used to allow detailed statistical adjustment for any changes in glycemic control 
that occur during treatment. In order to minimize risk of hypoglycemia and changes in glycemic control, 
subjects’ CGM reports or glucometer readings will be downloaded and monitored weekly by the PI and 
insulin doses adjusted appropriately to maintain approximate prior levels of control. This adjustment will be at 
an in-person outpatient visit at the end of the first study week to ensure patient is able to reinsert CGM 
properly. All others will involve electronic access to CGM data and phone contact. The PI will also be 
available by phone all working hours for advice on insulin dosing. 
Subjects will be instructed to take study drug at 500mg at bedtime for the first week, 500 mg twice 
daily for the second week, 500/1000mg daily for one week and 1000mg twice daily for the remainder of the 6 
week period. Subjects who fail to tolerate an uptitration will be held at the prior dose for an additional 3 days 
and then retried. Subjects who have not reached at least 500 mg BID dosing by the end of week 3 will be 
withdrawn from the study. Thus, final metformin dosing will be 500 BID or 1000 BID. During the last three 
days of each treatment phase, subjects will be placed on a standardized typical diabetic diet (40% 
carbohydrate, 35% fat, 25% protein; based on CACTI food records) for three days prior to late evening 
admission on day 3 to the CTRC. Overnight admission is critical to ensure that all subjects are in the same 
state prior to each testing session. Remaining pills will be turned in to allow a pill count as a measure of 
compliance. Subjects will be transitioned to an insulin drip for overnight glucose control using the protocol 
previously used for CTRC protocol 1499 (see appendices for starting doses and titration schedule). Inpatient 
studies (baseline labs, vascular studies, biopsies, and hyperinsulinemic euglycemic clamp) will be performed 
the following day (Figure 4). After a two week to two month washout period, the full cycle will be repeated 
with the second intervention. Women will be tested at the same time in their menstrual cycle (day 4-9) after 
each intervention period. Allowing up to 2 months between interventions is necessary to allow this type of 
scheduling with the possibility of a missed cycle due to scheduling conflicts. The study timeline and detailed 
visit schedule are as follows: 
Screening: 
• 
Visit 1: Screening visit - consent process, H&P, non-fasting labs, DEXA, dietary questionnaire 
Stage 1 (Study drug A, Placebo): 
• 
Visit 2: Stage 1 start visit (day A1) – Insert CGM and receive instruction on use and download, pick 
up Placebo, Instructions from PI re med dosing and insulin dose self-adjustment 
• 
Visit 3: Stage 1 CGM follow-up visit (day A8) – in person CGM download and reinsertion of sensor 
for the next week. Review glucoses with PI. 
• 
Visit 4: Stage 1 prestudy day visit (day A39) – pick up three day diet and receive instructions on 
insulin dosing and times for the pre-study day. Accelerometer set-up  
• 
Visit 5: Admission for Placebo study day (Days A42, 43) – see below 
2 weeks- 2 months wash-out 
Stage 2 (Study drug B, Metformin): 
• 
Visit 6: Stage 2 start visit (Day B1) - Insert CGM and receive instruction on use and download, pick 
up Metformin, Instructions from PI re med dosing and insulin dose self-adjustment 
• 
Option for one week visit 6b if desired for first repeat CGM insertion 
• 
Visit 7: Stage 2 prestudy visit (Day B39) - pick up three day diet and receive instructions on insulin 
dosing and times for the pre-study day. Accelerometer set-up 
• 
Visit 8: Admission for Metformin study day (Days B42,43) - see below 
 
• 2 weeks uptitration of med
• 4 weeks full dose
• Weekly CGMS download 
with PI review
•Start 
realtime
CGMS setup 
and training 
•Pick up diet
Stage day:0                                                    
40-42    42                     43-------------------
•Admit to 
CTRC HS 
on day 42
•Overnight 
insulin gtt
•Clamp with 
biopsies pre 
clamp and at 
15-30 min 
clamp time
Figure 4: Study timeline
• 3 day 
study diet 
prior to 
study
• Baseline 
labs
• Vascular 
studies
• 2 weeks uptitration of med
• 4 weeks full dose
• Weekly CGMS download 
with PI review
•Start 
realtime
CGMS setup 
and training 
•Pick up diet
Stage day:0                                                    
40-42    42                     43-------------------
•Admit to 
CTRC HS 
on day 42
•Overnight 
insulin gtt
•Clamp with 
biopsies pre 
clamp and at 
15-30 min 
clamp time
Figure 4: Study timeline
• 3 day 
study diet 
prior to 
study
• Baseline 
labs
• Vascular 
studies
4 
med 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 8 
CF-146, Effective 4-26-2010 
 
During the study visits procedures will include the following: baseline blood draws for inflammatory, 
metabolic, endothelial, and thrombotic markers; heart rate variability;  vascular function and stiffness by flow-
mediated dilation (FMD), plethysmography, brachial artery distensibility, and pulse wave velocity (PWV), and 
augmentation index (AI); insulin sensitivity by 2-stage hyperinsulinemic clamp (8, 40 mU/m2/min) with 
glucose tracer; muscle biopsies preclamp   If blood sugar at start of the tracer infusion and of the clamp is 
<60 or >180, the study visit will be concluded without the clamp.   
31P-MRS optional substudy: DRI pilot funding has been obtained to add a 31P-MRS study (method described 
further below) to the late afternoon preceding each admission to the CTRC for 10 of the MeT1 subjects. On 
recruitment into MeT1, subjects will be given the option to enroll in this additional sub-study. Specific 
exclusion criteria for this sub-study will include presence of any metal or other contraindications to MRS, 
including significant claustrophobia. A separate opt-in section in the consent form will be prepared and 
submitted to the IRB for this sub-study. Once 10 subjects have opted in and completed, the sub-study will be 
considered complete and closed to further enrollment. At that point, an interim analysis, including unblinding 
of these 10 subjects, will be performed. Those who opt in to the sub-study will follow the original study design 
exactly, with the exception that on day 3 of their study diet, they will be asked to present to the UCD Brain 
Imaging Center (behind the Leprino Building) in the late afternoon (fasting since lunch; 4-6 hours) for the 
MRS scan and then proceed to the CTRC for admission for the full study day the following day. 
 
Subject discontinuation criteria: (1) Failure to tolerate uptitration to a dose of metformin of at least 500 mg 
BID within 4 weeks, (2) Patient report of increased hypoglycemia not resolved with insulin dose adjustments 
within 2 days, (3) Other events or adverse reactions that are possibly related to study drug, that are 
contraindications to study drug, or that interfere with study measures. 
Protocol stopping rules: Occurrence of any severe adverse reaction including but not limited to 
hypoglycemia leading to unconsciousness or requiring external assistance will immediately be discussed 
with the data safety officer to evaluate need for protocol termination. Occurrence of more than one such 
event will lead to an immediate discontinuation of the protocol. 
 
D. Description, Risks and Justification of Procedures and Data Collection Tools: 
 
Methods: All measures will be assessed post 6 weeks of each of two blinded study drugs (metformin and 
placebo).  
Continuous glucose monitoring: Subjects will have continuous glucose monitoring (CGM, 
(DexCom 7-plus® system)) through both intervention periods. This will be real-time during the first four 
weeks (insulin dose adjustment and increased safety) and blinded during the last two weeks (statistical 
adjustment for changes in glycemic control).  
Hyperinsulinemic euglycemic clamp with tracer infusion: In order to determine insulin sensitivity, 
subjects will be admitted to the CTRC and fasted for >12 hr for a hyperinsulinemic euglycemic clamp by the 
method of deFronzo et al63 omitting the lowest insulin stage (4mU/m2/min) with 6,6 2H-glucose infusion (4 
minute prime at 3mg/kg/min, then 0.04 mg/kg/min) for 2 hours preceding the clamp to allow differentiation of 
hepatic and muscle insulin sensitivity. Two intravenous cannulae will be established: one for infusions, and 
the second in retrograde fashion in a dorsal vein of the opposite arm for blood sampling. To obtain 
arterialized venous blood samples, this hand will be kept warm with a heating pad. Tracers will be initiated at 
T=0 (about 7AM) and continue for 2 hours. Blood samples will be drawn at T=100, 110, and 120 for tracer 
and metabolite analysis. A descending primed continuous infusion of insulin (final 8 mU/m2/min) will be 
initiated at T=120 and continued until T=240 min, then increased with a second descending prime to 40 mU/ 
m2/min for an additional 120 minutes for determination of insulin sensitivity. Plasma glucose will be 
maintained at 90 mg/dl by variable infusion of 20% dextrose (spiked with tracer). An infusion of potassium 
will also be given to maintain normal potassium concentration. The rate of glucose infusion will be adjusted 
based on arterialized blood specimens drawn every 5 minutes, with plasma glucose quantified using a 
™Analox glucose analyzer at the bedside.  Blood samples will also be obtained for determinations of free 
fatty acids, triglycerides, insulin, and glycerol at 60 min. intervals and three times over the last half hour of 
each stage (as above).  After insulin infusion is stopped, glucose infusion will be continued until the subject 
has completed a standard meal, and plasma glucose levels measured every 15-30 min. for an hour to check 
for possible hypoglycemia. The subject will then be discharged. 
Blood collection and preparation: During the screening visit 1, non-fasting blood and urine 
sampling (chemistry-7, complete blood count, HbA1c, liver function tests, TSH, pregnancy test, and urine 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 9 
CF-146, Effective 4-26-2010 
 
microalbumin) will be performed to screen for exclusionary medical conditions. During study visits blood 
sampling will be done at baseline (AM of study day) for measurement of metabolic markers (NEFA, 
triglycerides, glycerol, glucose, lactate, and insulin levels), endothelial and inflammatory markers (endothelin 
1, interleukin 6, TNF- α, and hsCRP) and a prothrombotic marker (PAI-1); and during the clamp as specified 
above.  
Endothelial function: By brachial artery flow-mediated dilation (FMD) methodology described by 
Celermajer64, 65. FMD is measured using B-mode ultrasound images, with the use of a GE VingMed Vivid 
Five ultrasound system and a 10.0-mHz linear-array transducer. The brachial artery is scanned in 
longitudinal sections 2-15 cm above the elbow. When a satisfactory transducer position is found, the skin is 
marked and the arm left in the same position throughout the study. Increased flow is then induced by inflation 
of a pneumatic tourniquet around the forearm proximal to the scan site to a pressure of 200mmHg for 5 
minutes, followed by release. Doppler measures of blood velocity and diameter will be done at baseline and 
the first 10 seconds post cuff release.  Hyperemic response is then measured for two minutes after cuff 
deflation. Analysis of recordings will be performed using the CTRC vascular software package available in 
the Leprino Building. FMD is calculated and adjusted for hyperemic flow velocity. 
Arterial stiffness: Arterial stiffness will be assessed non-invasively by ™Sphygmocor BPAS 
1device (Atcor Medical) applanation tonometry measurement of augmentation index (AI) and pulse wave 
velocity (PWV)66, 67 68.  Three electrocardiography leads are placed with removable adhesive on the chest 
wall, for the purpose of timing systole.  A small metal tonometer is sequentially placed on the skin overlying 
the radial, femoral and carotid arteries.  The anterior wall of the artery is flattened, as with palpation of a 
pulse.  The tonometer non-invasively measures the pressure pulse waveform at each of these sites and 
correlates this with ECG data and the distance between the femoral artery and carotid artery sites to 
determine pulse wave velocity.   
             Echocardiogram: Standard 2-D and Doppler echocardiography with images adequate for speckle 
tracking analysis will be performed during the inpatient study visits to assess cardiac function.  
Sympathetic/parasympathetic balance: Respiratory heart rate variability by standard methods60. 
Study participants will undergo supine resting electrocardiogram (ECG) recording for 5 minutes early in visits 
in a quiet room, with a stable room temperature. Participants will be asked to relax but not fall asleep and to 
breathe normally and remain still without talking during the ECG recording. Following the resting ECG, a 
second supine ECG will be recorded while study partici-pants take in a deep breath for 10s. The ECG 
recordings will be transmitted electronically to the Epidemiological Cardiology Research Center (EPICARE) 
Center (Wake Forest University School of Medicine, Winston-Salem, NC) for analysis, interpretation, and 
calculation of heart rate variability. The SD of consecutive RR intervals of the entire record in Lead II will be 
used as a measure of overall HRV. In addition, autoregressive power spectral analysis will be used to 
determine the spectral power in the following bands: high frequency (HF, 0.15–0.45 Hz, reflects 
parasympathetic outflow), low frequency (LF, 0.04–0.15 Hz, reflects both sympathetic and parasympathetic 
outflow), and very low frequency (0.01–0.04 Hz). LF/HF and HF normalized to total power will be analyzed 
as measures of sympathetic and parasympathetic outflow, respectively. 
Indirect calorimetry: For measurement of RQ fasting and during low infusion rate to assess insulin 
response of shift from fat to carbohydrate metabolism.  
Muscle biopsy: Vastus lateralis muscle biopsies by the Bergstrom technique69. Samples will be 
analyzed fresh for respirometry and H2O2 production; others will be flash frozen in liquid N2 and stored at -
80o for PCR, glutathione assays, and immunoblotting. Dr. Leigh Perreault does these biopsies regularly and 
will assist initially and train the PI in performance of these biopsies. 
Mitochondrial isolation, content, function, and oxidative stress: Respirometry of muscle tissue 
will be performed in isolated mitochondria  by the method of Anderson et al 70 using the Oroboros Oxygraph 
O2K respirometer. Portions of muscle tissue will be immediately homogenized and fresh mitochondrial 
preparations will be used to determine carbohydrate and lipid oxidation rates.  Remaining tissue will be flash 
frozen in liquid nitrogen for appropriate analyses. Viable mitochondria will be isolated from fresh skeletal 
muscle tissue by trypsin collagenase digestion, homogenization and differential centrifugation by the 
methods developed by K Boyle, consulting mentor. Mitochondrial protein concentrations will be determined 
using a bicinchoninic acid (BCA) assay. For mitochondrial assays, viable mitochondria will be introduced into 
the Oxygraph O2K chambers in duplicate with sequential addition of a combination of lipid and carbohydrate 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 10 
CF-146, Effective 4-26-2010 
 
substrates as well as physiological and chemical uncouplers, activators and inhibitors to gain a 
comprehensive view of metabolic and mitochondrial function in the physiological and supraphysiological 
energy states. A portion of the viable mitochondria isolated from the fresh tissue samples will also be used to 
assess hydrogen peroxide (H2O2) emission in the presence of the same substrates that were used in the 
mitochondrial respiration experiments. H2O2 is a common product of superoxide degradation and will be 
measured using a standard kit assay (Amplex Red®, Invitrogen), modified for mitochondria. A portion of the 
frozen tissue sample will be used to measure glutathione levels using a standard kit (Bioxytech® 
GSH/GSSG- 412TM, OxisResearch). The ratio of reduced to oxidized glutathione is a standard indicator of 
oxidative stress. Mitochondri-al content is measured by QRT-PCR and blue native gel electrophoresis of 
isolated mitochondria. 
Study drug: Metformin and placebo will be provided by Caraco Pharmaceutical Labs as indicated 
above. They will be given in fixed order single-blinded fashion.To minimize GI side effects, study drug will be 
given in a forced uptitration with 500 mg once daily for one week, twice daily for one week, and then the 
higher dose (1000 mg) for the remainder of the 6 week intervention. Subjects who fail to tolerate an 
uptitration will be held at the prior dose for an additional 3 days and then retried. Subjects who have not 
reached at least 500 mg BID dosing by the end of week 3 will be withdrawn from the study. Thus, final 
metformin dosing will be 500 BID or 1000 BID. 
DEXA (Dual-energy X-Ray Absorptiometry): Body composition and bone mineral density will be 
measured using the DEXA technique71.This technique relies on the absorption of dual electron wavelengths 
for the assessment of body fat, lean tissue, and bone mineral density.  During the procedure, the subject will 
be supine on the measurement table, and the arm of the machine will slowly pass over their body.  Body fat 
distribution will be determined using the waist-to-hip ratio where the waist circumference is measured 1/2 the 
distance from the lowest point of the ribs to the iliac crest and the hip circumference is measured at the level 
of the greater trochanter.   
Diet Instruction and diet lead-in: Customary macronutrient pattern and diet preferences will be 
ascertained by an online diet questionnaire provided by the CCTSI Nutrition Core team.  A three day diet will 
be provided by the CTRC prior to both study visits.  A CTRC dietician will prescribe a standardized nutrient 
breakdown including 25% protein, 35% fat and 40% carbohydrate for the three days prior to visits 5 and 8. 
The sodium in the diet will be limited to ≤2300 mg/day. 
Immunoblot analysis: Frozen muscle biopsies are weighed, cut into 30mg sections, homogenized, 
solubilized, centrifuged, assayed for protein concentration, subjected to electrophoresis (50 µg), and 
transferred to membranes (Bio-Rad). Blots are exposed to appropriate antibodies. Immunoreactive products 
are detected using enhanced chemiluminescence and exposure to film, quantified, and normalized to an 
internal standard.  
Quantitative Real Time PCR: Quantitative real-time PCR is performed with the Roche LightCycler 
480 instrument and 480 SYBR Master mix for total mitochondrial DNA. Primer specificity is confirmed by melt 
curves.  Relative abundance of mitochondrial DNA is quantified by standard curve method and normalized to 
the 18S rRNA gene as a chromosomal DNA marker.  
31P-MRS: Methods: Calf MRS123-126: a 3.0 T whole–body MRI scanner (GE Medical Systems, 
Waukesha, WI), with a dual frequency 31P/1H Flex Coil (Clinical MR Solutions) creates scout images of the 
dominant leg gastrocnemious and soleus muscles. The widest cross sectional area is fitted in the equation 
described in our preliminary results to determine expected force. A resistance strap is affixed to the hips, 
dominant leg, ankle and foot, on a specialized portable, in-MRI exercise bench to allow isolated static plantar 
flexion against force. Flexion is done at 70% of the subject’s predicted maximal force for 90 seconds, 
monitored by a Single Point Load Cell (Tedea Model 1250), connected via an A/D board to a laptop for 
analysis on LabView software.  After scout images and shimming using the 1H portion of the flex coil, 31P 
measurements are made at rest, during calf exercise, and for at least 15 min immediately following the 
exercise bout (figure 5). Total study time is <1 hour. Output is analyzed using JmRUI and Sigma Stat to 
calculate PCr, phosphate (Pi), ADP, and ATP, which are used to calculate pH, ADP t1/2, PCr t1/2, Pi t1/2, and 
substrate dependent (VPCr, Qmax, the apparent mitochondrial capacity i.e. maximal oxidative ATP 
production rate; anaerobic glycolysis; oxidative phosphorylation; CK, the non-mitochondrial dependent ATP 
production from creatinine kinase; muscle efficiency) and oxygen-dependent components (time constant for 
PCr, Pi & ADP recovery), allowing differentiation of substrate vs. oxygen-dependent causes of mitochondrial 
dysfunction. Primary outcomes for this portion of this sub-study will be QMax (max oxidative ATP production 
rate) and ADP depletion half-time. 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 11 
CF-146, Effective 4-26-2010 
 
 
Risks: 
Continuous glucose monitoring: The continuous glucose monitor involves a small catheter placed 
under the skin in the area to the side of your belly.  Potential risks of this procedure include bleeding, 
infection, pain, and catheter placement into a muscle causing pain and bruising.  
Blood Draws:  Pain may be felt when the needle goes into the vein.  A bruise may form at the site. 
There is a risk of infection. Standard precautions will be used to minimize these risks and only CTRC nurses 
will perform blood draws. 
Fasting: Subjects who are taking insulin run a risk of hypoglycemia during fasting. Fasting will only 
be required during the inpatient stays. Symptoms listed above will be described in advance and subjects will 
be monitored closely. 
DEXA:  During DEXA testing the amount of radiation received is less than 25mRem total body 
equivalent dose per measurement.  This is estimated to be less than one-half the amount received from a 
chest x-ray.  The radiation in this study is not expected to greatly increase these risks, but the exact increase 
in such risk is not known.  Women who are or could be pregnant should receive no unnecessary radiation, 
and should not participate in this study. 
IV Risks:  When the needle carrying the plastic tube goes into a vein, it hurts for a short time.  The 
needle is then removed and only the plastic tube remains in the vein.   There will also be the minor 
discomfort of having the plastic tube taped to the arm.  In about one in 10 cases a small amount of bleeding 
under the skin will produce a bruise.  The risk of a blood clot forming in the vein is about one in 100, while 
the risk of infection or significant blood loss is one in 1000. Standard precautions will be used to minimize 
risk and only trained CTRC personnel will place IVs. 
Arterial stiffness measurement and HRV measurements: There is a very slight chance that 
fainting or stroke may occur.  No actual fainting or stroke have ever been reported.  The risk of these 
happening has been estimated to be less than 1/1,000,000. 
Brachial Artery FMD: There may be a slight discomfort while the arm cuff is inflated. 
Muscle Biopsies: May be uncomfortable or cause pain.  Infection, bleeding, or damage to nerves is 
reported to be 1/1000. The incision will be closed with a steri-strip or, if necessary, a single suture. A bruise 
may result temporarily, but a scar may be permanent.  Numbing medicine will be used to reduce the pain. 
Rarely this causes an allergic reaction.  A total of 2 muscle biopsies is required. Soreness or cramping in the 
muscle can occur during or after the procedure.  Sometimes people faint.   
Indirect calorimetry: Some people experience feelings of claustrophobia under the plexiglass hood 
used for these measurements. 
Insulin Clamp: With the insulin clamp there is the risk of hypoglycemia.  The symptoms of 
hypoglycemia are excessive sweating, faintness, headache, pounding heart, trembling, and impaired vision.  
Under very extreme degrees of hypoglycemia, a person may lose consciousness.  Blood glucose levels will 
be monitored throughout this test to prevent hypoglycemia from occurring. I have performed >50 clamps and 
have caused no episodes of symptomatic hypoglycemia.  
Echocardiography: This is a noninvasive ultrasound tests with no significant risk or discomfort. 
There may be slight pressure from the wand over the chest area and women may feel uncomfortable about 
the having the wand placed and held near the breasts. 
Metformin: Though metformin is generally well tolerated, there is the potential for side 
effects/adverse reactions.  With metformin there is a small risk of a serious allergic reaction with anaphylaxis 
(difficulty breathing, swelling of lips, face or tongue). Milder allergic reactions with rash also occur. Metformin 
is contraindicated in anyone with a history of lactic acidosis or renal insufficiency (Cr >1.5(males) or 1.4 
mg/dL (females)) because of the risk of acidosis. This would present as shortness of breath, muscle or bone 
pain, dark urine, and/or fever. The most common side effects with metformin are headache and GI side 
effects including abdominal pain, nausea, vomiting, diarrhea, loss of appetite, abdominal bloating/discomfort, 
and flatulence. These are reported in some literature in up to 50% of patients. However, with a low mealtime 
starting dose and slow uptitration, this risk is much lower and can be largely avoided. The PI has 
considerable experience with metformin and has found that with the planned upitration <10% of patients do 
not tolerate metformin. Some attrition due to GI side effects is expected in this study.  
For these subjects with diabetes and on insulin there is also a risk of hypoglycemia, especially 
through the start and uptitration of metformin. Subjects will continue to do their normal blood sugar checks. In 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 12 
CF-146, Effective 4-26-2010 
 
addition, their CGM monitors will be downloaded weekly for review of blood sugars and insulin dose 
adjustment if needed by the PI. Subjects are well aware of the symptoms of hypoglycemia and will be 
advised to check their blood sugar for any symptoms.  
Though metformin is frequently taken during pregnancy, it is not fully proven safe in pregnancy and 
we will be excluding subjects who are pregnant or planning to get pregnant. Therefore, a pregnancy test will 
be done with the initial screening labs, and if a subject is pregnant or breastfeeding, she will be excluded 
from this study. If a subject becomes pregnant during the study she will be instructed to notify the study 
coordinator and withdraw from the study.   
31P-MRS: Subjects may develop claustrophobia in the magnet or mild muscle cramping during the 
exercise portion 
Unforeseen Risks:  This study may include risks that are unknown at this time. 
 
E.  Potential Scientific Problems:   
Interpretation of results/pitfalls and limitations: This study addresses the question of whether metformin 
affects insulin action and vascular and mitochondrial sequelae of IR in T1D. Based on the literature, I expect 
that GIR will be increased by this intervention, though it is unclear whether this will be mediated through 
changes in classical insulin signaling. An improvement in GIR would support the hypothesis that metformin is 
a viable approach to the treatment of IR in T1D that may have CVD benefits similar to those seen in T2D. If 
cardiovascular and/or mitochondrial measures improve (with or without changes in IR), this also lends 
support to metformin as a potentially CVD protective intervention and provides data to support a longer study 
looking at clinical outcomes. If no change in GIR or vascular measures occurs, this would suggest that IR 
and CVD risk in T1D are mechanistically different from other populations, an exciting result in itself, and 
future efforts would explore other mechanisms such as inflammation, sympathetic nervous system activation, 
and counter-regulatory hormones. Other outcomes will provide hypothesis-generating data to support and 
direct exploration of these other mechanisms of IR in T1D. 
Other potential limitations of this study are: 
(1) Small size: it is possible that a smaller effect will occur in T1D than in other populations and this may 
therefore be missed in this small sample size.  
(2) The optimal length of time for this intervention is open to debate. Glycemic control changes in type 2 
diabetes with metformin occur fairly rapidly (within a few weeks) suggesting that metformin effects on insulin 
action and glucose metabolism at least, are quite rapid. Most metformin studies in the literature use 3 
months of treatment. To minimize subject risk and burden, as well as study costs, I plan to use a 6-week 
intervention. Evidence certainly supports the expectation that many changes induced by metformin do occur 
within this time span.  
(3) Limited tracer use: due to cost considerations, only glucose tracer will be used. Ideally glycerol and 
palmitate tracers would also be used to fully characterize insulin sensitivity of metabolic shifts. Again, these 
will be considered if a larger study is justified by the preliminary data obtained here. 
(4) Surrogate measures: Outcomes are surrogates that are believed to correlate with vascular disease 
outcomes. However, a larger and longer study will be required if this study is promising to demonstrate that 
changes observed with metformin do translate to improved clinical outcomes. 
(5) Changes in glycemic control may occur with metformin despite efforts to avoid this confounder. 
Separation of effects of insulin sensitization from those of altered glycemic control may be difficult. The study 
design attempts to minimize this effect by using a relatively low carbohydrate diet, minimizing prandial insulin 
dosing and thus overall insulin dosing. Subjects will be advised that they may need to decrease insulin 
dosing on metformin and CGM will be used to monitor glycemic control. This will allow for insulin dose 
adjustments to maintain prior glycemic control and to avoid hypoglycemia, and for statistical adjustment for 
any changes in glycemic control that do occur. If improvements in outcomes occur, this will support further 
exploration of metformin use in T1D regardless of the mechanism.  
(6) Multiple confounders of an analysis of effect on IR also exist, and every effort will be made to minimize 
the effect of these confounders including emphasis on a stable activity level throughout the intervention 
periods and exclusion of highly active subjects. Physical stress will be avoided by rescheduling study days 
as needed for any illness. Efforts to avoid hypoglycemia will include CGM available to the patient and the PI 
with insulin dose adjustments as needed. In addition, careful statistical analysis of CGM data will be 
performed to look for and adjust for any effect of hypoglycemia. If present, this underscores the importance 
of identifying non-glycemic mechanisms involved in IR as complete normalization of glycemia without 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 13 
CF-146, Effective 4-26-2010 
 
hypoglycemia is unrealistic in T1D, especially in an outpatient, lifelong diabetes regimen. Sex hormones also 
affect insulin sensitivity in women. The age range of particular clinical interest for this study is primarily 
middle age, including perimenopausal years in women. I have chosen to include perimenopausal women, 
but not post-menopausal women in this study. One of my future interests is in the disproportionate increase 
in CVD risk on premenopausal women with T1D. I have powered the current studies adequately to compare 
responses to the interventions between genders. I am therefore concentrating on women in which I expect to 
see sex-based differences, that is those in the pre/perimenopausal stages. Hormonal variation will be dealt 
with in the usual fashion of scheduling visits during the early follicular phase. Estradiol and FSH levels will be 
checked with baseline labs on all clamp study days to confirm similar hormone levels at all visits. Other 
confounders such as emotional stress will be difficult to avoid and are present in any study of this type. 
 
F.  Data Analysis Plan:   
Data collected from each subject will be verified and entered into a computer database.  
Confirmation of data quality will be performed using computer programs designed to detect errors using 
accepted ranges, logic checks, and missing values.  Outliers will be checked against the original record, 
and correct values entered into the final data.  Data will be transferred into the SAS System Version 8.0 
(SAS Institute, NC) for analysis.  We plan to use Redcap for data management and SAS for all statistical 
analysis. Descriptive statistics of all variables at all time points will be derived and reported.  
Statistical Analysis Plan: In order to test the effects of metformin on insulin sensitivity, vascular 
function and compliance (FMD, PWV, AI, and post-occlusion blood flow) in T1D, we will measure insulin 
sensitivity and vascular parameters in 30 T1D (50% men) after six weeks of metformin and six weeks of 
placebo in a fixed-order, single-blind cross-over design study. The effect of metformin treatment on insulin 
sensitivity and vascular function will be assessed by comparing fasting measures at post each period of 
treatment within study participants using paired t-tests.  
CGM data for the final week of the intervention will be analyzed for mean glucose, %>180, %<60, 
and SD (measure of glycemic variability). Initial analysis will be by paired t-test to assess for differences 
between the two intervention periods. The impact on insulin sensitivity of CGM parameters that differ 
between intervention periods will be investigated using a repeated measures mixed effects model with 
CGM parameters included as time-varying covariates. 
Secondary measures (inflammatory, thrombotic, oxidative stress, and endothelial markers, 
metabolic parameters, autonomic function, and biopsy assays) will be similarly compared.  Further, the 
association of secondary outcomes with vascular function will be analyzed using Pearson correlation 
coefficients and multivariate linear regression. I plan to use all of the variables that appear to correlate 
individually in the multiple regression analysis as an exploratory exercise. I recognize that an n of 30 is 
inadequate to power this model, but will perform this analysis as an exploratory, hypothesis generating 
exercise. As a further exploratory approach, I plan to use “best 3” and “best 4” best subset regression 
analyses to identify the variables that are most strongly associated with insulin sensitivity and endothelial 
function. Subgroup analyses will also be conducted to examine whether metformin affects vascular function 
in men and women to the same degree.   
Power and Sample Size: Power analysis and sample size are based on expected changes from 
the literature for the primary outcomes FMD and insulin sensitivity.  
Insulin sensitivity: The only existing literature on metformin effects on insulin action in type 1 diabetes is a 
report by Sarnblad et al 74. They report on high dose hyperinsulinemic euglycemic clamp in 11 subjects pre 
and post metformin therapy for 3 months. They report that the increase in glucose uptake (M/I) was just 
significant in this sample. However, I am unable to duplicate their p-value from the data shown. Values for 
M/I were measured from the presented graph (Figure 2A) pre and post metformin treatment for n=10. For 
the measured data shown below, mean M/I pre metformin was 1.845 +/- 1.012 and the mean M/I post 
metformin was 2.275 +/- 0.784. The mean pre/post difference was 0.48 +/- 1.09. Using the means and the 
SD of the difference, a paired t-test was performed in SAS 9.2 and generated a p value of 0.295 for n=10 
(one hidden data point). Using rounded number from this same data (Means of 1.8 and 2.3 with a SD of the 
difference of 1) a power analysis yielded 75% power to detect this difference with a sample size of 30 
subjects.  
 
 
Subject* 
Pre-Metformin M/I 
Post-Metformin M/I 
difference 
1 
4.2 
1.7 
-2.5 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 14 
CF-146, Effective 4-26-2010 
 
2 
2.5 
2.6 
0.1 
3 
2.35 
2.9 
0.55 
4 
2.2 
2.9 
0.7 
5 
1.5 
2.2 
0.7 
6 
1.45 
2.15 
0.7 
7 
1.2 
3.7 
2.5 
8 
1.2 
2.1 
0.9 
9 
1.1 
1.5 
0.4 
10 
0.75 
1.0 
0.25 
mean 
1.845 
2.275 
0.48 
SD 
1.012 
0.784 
1.09 
* Top of graph to bottom 
 
Flow-mediated dilation (FMD): Published data indicate that FMD in individuals with metabolic syndrome is 
normally distributed with a mean of 7.4% ± 2.1% at baseline. Following 3 months of metformin treatment 
this was increased to 12.4 ± 1.9% 72. With 30 subjects in a cross-over design and paired analysis, we will 
have >99% power to detect a comparable difference in T1D, and 80% power to detect a true difference in 
mean of 1.5%. Should subjects complete only one arm, a two sample t-test of placebo vs metformin groups 
with n=10 in each group would still have 97% power to detect the published change above. This degree of 
power will allow additional subgroup analysis for sex-based differences. 
 
The study is powered based entirely on the two primary outcomes. Since these are completely unrelated 
independent outcomes, no correction for multiple comparisons was used. The secondary outcomes clearly 
constitute multiple comparisons, but these are all either confirmatory of the primary outcomes or hypothesis 
generating. Thus, no multiple measures corrections are planned. 
Timeline: 
The first 3-6 months of 
the grant period is 
anticipated to be needed 
for completion of IRB and 
CTRC approval 
processes. Screening 
and enrollment will start within the first half year and enrollment will proceed at a rate of 1-2 subjects per 
month. This will allow completion of enrollment by early in the third year and completion of the study by late 
in the third year. 
 
G.   Summarize Knowledge to be gained:   
Summary: The above cross-over design study will yield important results regarding the mechanism and 
vascular consequences of IR in T1D and will help guide future research and clinical care of T1D regardless 
of the results. If NEFA lowering does improve IR and its vascular correlates, this may become a new 
therapeutic target in the management of T1D. Further exploration of insulin sensitizing agents vs. NEFA 
lowering agents will be indicated to determine the optimal intervention for CVD risk management.  
 
 H. References: 
1. 
Dorman JS, Tajima N, LaPorte RE, et al. The Pittsburgh Insulin-Dependent Diabetes Mellitus (IDDM) Morbidity and Mortality 
Study: case-control analyses of risk factors for mortality. Diabetes Care. Sep-Oct 1985;8 Suppl 1:54-60. 
2. 
Krolewski AS, Kosinski EJ, Warram JH, et al. Magnitude and determinants of coronary artery disease in juvenile-onset, 
insulin-dependent diabetes mellitus. Am J Cardiol. Apr 1 1987;59(8):750-755. 
3. 
Orchard TJ, Costacou T, Kretowski A, Nesto RW. Type 1 diabetes and coronary artery disease. Diabetes Care. Nov 
2006;29(11):2528-2538. 
4. 
Gensini GF, Comeglio M, Colella A. Classical risk factors and emerging elements in the risk profile for coronary artery 
disease. Eur Heart J. Feb 1998;19 Suppl A:A53-61. 
5. 
Pambianco G, Costacou T, Ellis D, Becker DJ, Klein R, Orchard TJ. The 30-year natural history of type 1 diabetes 
complications: the Pittsburgh Epidemiology of Diabetes Complications Study experience. Diabetes. May 2006;55(5):1463-
1469. 
6. 
Gerstein HC, Miller ME, Byington RP, et al. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med. Jun 12 
2008;358(24):2545-2559. 
7. 
Patel A, MacMahon S, Chalmers J, et al. Intensive blood glucose control and vascular outcomes in patients with type 2 
diabetes. N Engl J Med. Jun 12 2008;358(24):2560-2572. 
Task 
 
Year 1 Total Year 2 Total Year 3 Total 
Screening & enrollment     
10 
    
25 
    
40 
Data collection 
    
 
    
 
    
 
Data entry & analysis 
    
 
    
 
    
 
Manuscript preparation 
    
 
    
 
    
 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 15 
CF-146, Effective 4-26-2010 
 
8. 
Currie C, JR Peters, et al. Survival as a function of hemoglobin A1c in people with type 2 diabetes: a retrospective cohort 
study. Lancet. ePub Jan 27 2010. 
9. 
Zgibor JC, Piatt GA, Ruppert K, Orchard TJ, Roberts MS. Deficiencies of cardiovascular risk prediction models for type 1 
diabetes. Diabetes Care. Aug 2006;29(8):1860-1865. 
10. 
Fontbonne A, Eschwege E. Insulin-resistance, hypertriglyceridaemia and cardiovascular risk: the Paris Prospective Study. 
Diabete Metab. May 1991;17(1 Pt 2):93-95. 
11. 
Saely CH, Aczel S, Marte T, Langer P, Hoefle G, Drexel H. The metabolic syndrome, insulin resistance, and cardiovascular 
risk in diabetic and nondiabetic patients. J Clin Endocrinol Metab. Oct 2005;90(10):5698-5703. 
12. 
Isomaa B, Almgren P, Tuomi T, et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. 
Diabetes Care. Apr 2001;24(4):683-689. 
13. 
Bonora E, Formentini G, Calcaterra F, et al. HOMA-estimated insulin resistance is an independent predictor of cardiovascular 
disease in type 2 diabetic subjects: prospective data from the Verona Diabetes Complications Study. Diabetes Care. Jul 
2002;25(7):1135-1141. 
14. 
Bonora E, Kiechl S, Willeit J, et al. Population-based incidence rates and risk factors for type 2 diabetes in white individuals: 
the Bruneck study. Diabetes. Jul 2004;53(7):1782-1789. 
15. 
Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 
34). UK Prospective Diabetes Study (UKPDS) Group. Lancet. Sep 12 1998;352(9131):854-865. 
16. 
Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications 
in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. Sep 12 
1998;352(9131):837-853. 
17. 
Duckworth WC, McCarren M, Abraira C. Glucose control and cardiovascular complications: the VA Diabetes Trial. Diabetes 
Care. May 2001;24(5):942-945. 
18. 
Stettler C, Allemann S, Juni P, et al. Glycemic control and macrovascular disease in types 1 and 2 diabetes mellitus: Meta-
analysis of randomized trials. Am Heart J. Jul 2006;152(1):27-38. 
19. 
Abraira C, Duckworth W, McCarren M, et al. Design of the cooperative study on glycemic control and complications in 
diabetes mellitus type 2: Veterans Affairs Diabetes Trial. J Diabetes Complications. Nov-Dec 2003;17(6):314-322. 
20. 
Hanley AJ, Williams K, Stern MP, Haffner SM. Homeostasis model assessment of insulin resistance in relation to the 
incidence of cardiovascular disease: the San Antonio Heart Study. Diabetes Care. Jul 2002;25(7):1177-1184. 
21. 
Jeppesen J, Hansen TW, Rasmussen S, Ibsen H, Torp-Pedersen C, Madsbad S. Insulin resistance, the metabolic syndrome, 
and risk of incident cardiovascular disease: a population-based study. J Am Coll Cardiol. May 29 2007;49(21):2112-2119. 
22. 
Kragelund C, Snorgaard O, Kober L, et al. Hyperinsulinaemia is associated with increased long-term mortality following acute 
myocardial infarction in non-diabetic patients. Eur Heart J. Nov 2004;25(21):1891-1897. 
23. 
Ginsberg HN. Insulin resistance and cardiovascular disease. J Clin Invest. Aug 2000;106(4):453-458. 
24. 
Haffner SM. Epidemiology of insulin resistance and its relation to coronary artery disease. Am J Cardiol. Jul 8 
1999;84(1A):11J-14J. 
25. 
Hu FB, Stampfer MJ, Haffner SM, Solomon CG, Willett WC, Manson JE. Elevated risk of cardiovascular disease prior to 
clinical diagnosis of type 2 diabetes. Diabetes Care. Jul 2002;25(7):1129-1134. 
26. 
Lempiainen P, Mykkanen L, Pyorala K, Laakso M, Kuusisto J. Insulin resistance syndrome predicts coronary heart disease 
events in elderly nondiabetic men. Circulation. Jul 13 1999;100(2):123-128. 
27. 
DeFronzo RA, Hendler R, Simonson D. Insulin resistance is a prominent feature of insulin-dependent diabetes. Diabetes. Sep 
1982;31(9):795-801. 
28. 
Yki-Jarvinen H, Kiviluoto T, Taskinen MR. Insulin resistance is a prominent feature of patients with pancreatogenic diabetes. 
Metabolism. Aug 1986;35(8):718-727. 
29. 
Yki-Jarvinen H, Koivisto VA. Natural course of insulin resistance in type I diabetes. N Engl J Med. Jul 24 1986;315(4):224-
230. 
30. 
Williams KV, Erbey JR, Becker D, Arslanian S, Orchard TJ. Can clinical factors estimate insulin resistance in type 1 diabetes? 
Diabetes. Apr 2000;49(4):626-632. 
31. 
Carr DB, Utzschneider KM, Hull RL, et al. Intra-abdominal fat is a major determinant of the National Cholesterol Education 
Program Adult Treatment Panel III criteria for the metabolic syndrome. Diabetes. Aug 2004;53(8):2087-2094. 
32. 
Meshkani R, Adeli K. Hepatic insulin resistance, metabolic syndrome and cardiovascular disease. Clin Biochem. Sep 
2009;42(13-14):1331-1346. 
33. 
Petersen KF, Dufour S, Savage DB, et al. The role of skeletal muscle insulin resistance in the pathogenesis of the metabolic 
syndrome. Proc Natl Acad Sci U S A. Jul 31 2007;104(31):12587-12594. 
34. 
Orchard TJ, Olson JC, Erbey JR, et al. Insulin resistance-related factors, but not glycemia, predict coronary artery disease in 
type 1 diabetes: 10-year follow-up data from the Pittsburgh Epidemiology of Diabetes Complications Study. Diabetes Care. 
May 2003;26(5):1374-1379. 
35. 
Kilpatrick ES, Rigby AS, Atkin SL. Insulin resistance, the metabolic syndrome, and complication risk in type 1 diabetes: 
"double diabetes" in the Diabetes Control and Complications Trial. Diabetes Care. Mar 2007;30(3):707-712. 
36. 
Soedamah-Muthu SS, Chaturvedi N, Toeller M, et al. Risk factors for coronary heart disease in type 1 diabetic patients in 
Europe: the EURODIAB Prospective Complications Study. Diabetes Care. Feb 2004;27(2):530-537. 
37. 
Bellin C, de Wiza DH, Wiernsperger NF, Rosen P. Generation of reactive oxygen species by endothelial and smooth muscle 
cells: influence of hyperglycemia and metformin. Horm Metab Res. Nov 2006;38(11):732-739. 
38. 
Bhamra GS, Hausenloy DJ, Davidson SM, et al. Metformin protects the ischemic heart by the Akt-mediated inhibition of 
mitochondrial permeability transition pore opening. Basic Res Cardiol. May 2008;103(3):274-284. 
39. 
Detaille D, Guigas B, Chauvin C, et al. Metformin prevents high-glucose-induced endothelial cell death through a 
mitochondrial permeability transition-dependent process. Diabetes. Jul 2005;54(7):2179-2187. 
40. 
Kukidome D, Nishikawa T, Sonoda K, et al. Activation of AMP-activated protein kinase reduces hyperglycemia-induced 
mitochondrial reactive oxygen species production and promotes mitochondrial biogenesis in human umbilical vein endothelial 
cells. Diabetes. Jan 2006;55(1):120-127. 
41. 
Rosen P, Wiernsperger NF. Metformin delays the manifestation of diabetes and vascular dysfunction in Goto-Kakizaki rats by 
reduction of mitochondrial oxidative stress. Diabetes Metab Res Rev. Jul-Aug 2006;22(4):323-330. 


On the Web at http://comirbweb.uchsc.edu 
 
Protocol Template 
Page 16 
CF-146, Effective 4-26-2010 
 
42. 
Xie Z, Zhang J, Wu J, Viollet B, Zou MH. Upregulation of mitochondrial uncoupling protein-2 by the AMP-activated protein 
kinase in endothelial cells attenuates oxidative stress in diabetes. Diabetes. Dec 2008;57(12):3222-3230. 
43. 
Vella S, Buetow L, Royle P, Livingstone S, Colhoun HM, Petrie JR. The use of metformin in type 1 diabetes: a systematic 
review of efficacy. Diabetologia. Jan 8. 
44. 
Dabelea D, Kinney G, Snell-Bergeon JK, et al. Effect of type 1 diabetes on the gender difference in coronary artery 
calcification: a role for insulin resistance? The Coronary Artery Calcification in Type 1 Diabetes (CACTI) Study. Diabetes. Nov 
2003;52(11):2833-2839. 
45. 
Snell-Bergeon JK, Hokanson JE, Jensen L, et al. Progression of coronary artery calcification in type 1 diabetes: the 
importance of glycemic control. Diabetes Care. Oct 2003;26(10):2923-2928. 
46. 
Schauer IE, J Snell-Bergeon, B Bergman, DM Maahs, A Kretowski, RH Eckel, and M Rewers Insulin sensitivity and free fatty 
acid suppression differ in persons with Type I Diabetes as compared to non-diabetic controls: the CACTI study. Diabetes. 
2008;ADA supplement. 
47. 
Schauer I, B Bergman, J Snell-Bergeon, DM Maahs, RH Eckel, and M Rewers Insulin resistance in Type 1 Diabetes 
correlates with coronary artery calcification. Journal of Women’s Health 2008;17(8):1242. 
48. 
Scherrer U, Sartori C. Defective nitric oxide synthesis: a link between metabolic insulin resistance, sympathetic overactivity 
and cardiovascular morbidity. Eur J Endocrinol. Apr 2000;142(4):315-323. 
49. 
Steinberg HO, Baron AD. Vascular function, insulin resistance and fatty acids. Diabetologia. May 2002;45(5):623-634. 
50. 
Steinberg HO, Chaker H, Leaming R, Johnson A, Brechtel G, Baron AD. Obesity/insulin resistance is associated with 
endothelial dysfunction. Implications for the syndrome of insulin resistance. J Clin Invest. Jun 1 1996;97(11):2601-2610. 
51. 
Liu Z, Liu J, Jahn LA, Fowler DE, Barrett EJ. Infusing lipid raises plasma free fatty acids and induces insulin resistance in 
muscle microvasculature. J Clin Endocrinol Metab. Sep 2009;94(9):3543-3549. 
52. 
Bonetti PO, Lerman LO, Lerman A. Endothelial dysfunction: a marker of atherosclerotic risk. Arterioscler Thromb Vasc Biol. 
Feb 1 2003;23(2):168-175. 
53. 
Webb DR, Khunti K, Silverman R, et al. Impact of metabolic indices on central artery stiffness: independent association of 
insulin resistance and glucose with aortic pulse wave velocity. Diabetologia. Jun;53(6):1190-1198. 
54. 
Anderson SG, Sanders TA, Cruickshank JK. Plasma fatty acid composition as a predictor of arterial stiffness and mortality. 
Hypertension. May 2009;53(5):839-845. 
55. 
Nelson MR, Stepanek J, Cevette M, Covalciuc M, Hurst RT, Tajik AJ. Noninvasive measurement of central vascular pressures 
with arterial tonometry: clinical revival of the pulse pressure waveform? Mayo Clin Proc. May;85(5):460-472. 
56. 
Riksen NP, Bosselaar M, Bakker SJ, et al. Acute elevation of plasma non-esterified fatty acids increases pulse wave velocity 
and induces peripheral vasodilation in humans in vivo. Clin Sci (Lond). Jul 2007;113(1):33-40. 
57. 
Chow L, From A, Seaquist E. Skeletal muscle insulin resistance: the interplay of local lipid excess and mitochondrial 
dysfunction. Metabolism. Jan;59(1):70-85. 
58. 
Pagel-Langenickel I, Bao J, Pang L, Sack MN. The role of mitochondria in the pathophysiology of skeletal muscle insulin 
resistance. Endocr Rev. Feb;31(1):25-51. 
59. 
Nisoli E, Clementi E, Paolucci C, et al. Mitochondrial biogenesis in mammals: the role of endogenous nitric oxide. Science. 
Feb 7 2003;299(5608):896-899. 
60. 
Pop-Busui R, Evans GW, Gerstein HC, et al. Effects of cardiac autonomic dysfunction on mortality risk in the Action to Control 
Cardiovascular Risk in Diabetes (ACCORD) trial. Diabetes Care. Jul;33(7):1578-1584. 
61. 
Ramchandra R, Barrett CJ, Malpas SC. Nitric oxide and sympathetic nerve activity in the control of blood pressure. Clin Exp 
Pharmacol Physiol. May-Jun 2005;32(5-6):440-446. 
62. 
Schultz HD. Nitric oxide regulation of autonomic function in heart failure. Curr Heart Fail Rep. Jun 2009;6(2):71-80. 
63. 
DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J 
Physiol. Sep 1979;237(3):E214-223. 
64. 
Celermajer DS, Sorensen KE, Gooch VM, et al. Non-invasive detection of endothelial dysfunction in children and adults at risk 
of atherosclerosis. Lancet. Nov 7 1992;340(8828):1111-1115. 
65. 
Corretti MC, Anderson TJ, Benjamin EJ, et al. Guidelines for the ultrasound assessment of endothelial-dependent flow-
mediated vasodilation of the brachial artery: a report of the International Brachial Artery Reactivity Task Force. J Am Coll 
Cardiol. Jan 16 2002;39(2):257-265. 
66. 
Papaioannou TG, Stamatelopoulos KS, Gialafos E, et al. Monitoring of arterial stiffness indices by applanation tonometry and 
pulse wave analysis: reproducibility at low blood pressures. J Clin Monit Comput. Apr 2004;18(2):137-144. 
67. 
Hadigan C, Rabe J, Meininger G, Aliabadi N, Breu J, Grinspoon S. Inhibition of lipolysis improves insulin sensitivity in 
protease inhibitor-treated HIV-infected men with fat redistribution. Am J Clin Nutr. Feb 2003;77(2):490-494. 
68. 
Ravikumar R, Deepa R, Shanthirani C, Mohan V. Comparison of carotid intima-media thickness, arterial stiffness, and 
brachial artery flow mediated dilatation in diabetic and nondiabetic subjects (The Chennai Urban Population Study [CUPS-9]). 
Am J Cardiol. Oct 1 2002;90(7):702-707. 
69. 
Bergstrom J. Percutaneous needle biopsy of skeletal muscle in physiological and clinical research. Scand J Clin Lab Invest. 
Nov 1975;35(7):609-616. 
70. 
Anderson EJ, Lustig ME, Boyle KE, et al. Mitochondrial H2O2 emission and cellular redox state link excess fat intake to 
insulin resistance in both rodents and humans. J Clin Invest. Feb 2 2009. 
71. 
Brozek J, Grande F, Anderson JT, Keys A. Densitometric Analysis of Body Composition: Revision of Some Quantitative 
Assumptions. Ann N Y Acad Sci. Sep 26 1963;110:113-140. 
72. 
Vitale C, Mercuro G, Cornoldi A, Fini M, Volterrani M, Rosano GM. Metformin improves endothelial function in patients with 
metabolic syndrome. J Intern Med. Sep 2005;258(3):250-256. 
73. 
Agarwal N, Rice SP, Bolusani H, et al. Metformin reduces arterial stiffness and improves endothelial function in young women 
with polycystic ovary syndrome: a randomized, placebo-controlled, crossover trial. J Clin Endocrinol Metab. Feb;95(2):722-
730. 
74.  
Sarnblad S, Kroon M, and Aman J (2003) Metformin as additional therapy in adolescents with poorly controlled type 1 
diabetes: randomised placebo-controlled trial with aspects on insulin sensitivity. European Journal of Endocrinology 149: 323.