- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01884714
Exploring the Molecular Basis to Healthy Obesity: The Diabetes Risk Assessment Study (DRA)
New and Innovative Bioanalytical Tools to Assess Lifestyle Recommendations for Managing Type-2 Diabetes
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
PURPOSE: Diabetes is one of the fastest growing diseases in Canada; however, lifestyle changes (e.g. changes in diet and physical activity) can prevent or postpone the development of this metabolic disease. The proposed research project hypothesizes that knowledge of the diabetic and obese metabolic phenotype (i.e. the metabotype) has value in predicting these diseases, preventing their downstream complications, and personalizing therapeutic and lifestyle interventions to improve diabetes and obesity management. The overall purpose of this research is to identify biomarkers that uniquely reflect the metabolic perturbations associated with type 2 diabetes and obesity. This information will be invaluable in the design of more personalized interventions to manage these disease states
RATIONALE: Type-2 diabetes is a disease state that affects multiple organs of the biological system, including alterations in adipocyte and muscle insulin signalling, hepatic glucose production, glucose absorption from the gastrointestinal tract, and pancreatic insulin deficiency caused by the loss of β-cell mass and function. Understanding the molecular communication taking place both within and between these tissues is paramount to unravel the metabolic regulatory networks and mechanisms underlying diabetes. Global gene expression profiling (i.e. transcriptomics) and metabolite profiling (i.e. metabolomics) offer powerful approaches to understand the biological processes associated with diabetes and obesity. The analysis of gene expression profiles provides an opportunity to identify early markers of metabolic dysregulation. In contrast, metabolites represent an endpoint of gene and protein function; thus metabolomics is ideally suited for the identification of biomarkers that reflect the biochemical processes underlying a physiological state. By integrating gene expression profiling with metabolite profiling, we will have the opportunity to improve our understanding of the metabolic perturbations related to obesity and/or type-2 diabetes.
OBJECTIVES: The specific goals of this project are to:
- Recruit a sample of lean, lean/diabetic, obese, and obese/diabetic research participants from the Guelph community.
- Assess blood glucose and insulin levels in these 4 groups both at baseline and after the consumption of a standardized high fat/high calorie meal.
- Define the metabotype of these 4 groups by profiling plasma metabolites with mass spectrometry. The current study will examine only blood metabolites.
- Define subcutaneous adipose tissue gene expression profiles of these 4 groups using microarray technology.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
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Ontario
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Guelph, Ontario, Canada, N1G 2W1
- University of Guelph, Human Nutraceutical Research Unit
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Stable body weight (± 2 kg) for at least 3 months.
Exclusion Criteria:
- Evidence of acute or chronic inflammatory disease
- Infectious diseases
- Viral infection
- Cancer
- Alcohol consumption (i.e. more than 2 drinks/day, where 1 drink = 10 g alcohol).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: High fat/high calorie meal
All subjects are provided a high calorie (~1300kcal) and high fat (~60g fat) breakfast meal.
|
All subjects are provided a high calorie (~1300kcal) and high fat (~60g fat) breakfast meal.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Measure circulating inflammatory markers and fatty acids associated with obesity and diabetes.
Time Frame: baseline
|
Common inflammatory markers (e.g. IL-6, TNFalpha, adiponection) will be measured using either standard ELISA and multiplex bead technology. Serum fatty acids will be measured using gas chromatography. |
baseline
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Analyze adipose tissue gene expression in obese and diabetic subjects
Time Frame: baseline
|
Gene expression analyzed using microarrays
|
baseline
|
Measure standard clinical and anthropometric markers associated with obesity and diabetes.
Time Frame: baseline
|
Standard clinical parameters (e.g.
triglycerides, cholesterol, glucose, insulin, etc) and anthropometric measurements (e.g.
body mass index, waist circumference, etc) will be determined.
|
baseline
|
Examine global serum metabolite profiles associated with obesity and diabetes.
Time Frame: baseline
|
Serum metabolites will be measured using gas chromatography coupled with mass spectrometry.
|
baseline
|
Measure standard clinical and anthropometric parameters in obese and diabetic participants following a standardized meal.
Time Frame: 2 hours after consuming a standardized meal
|
All subjects will be provided a standardized meal and after 2 hours standard clinical parameters (e.g.
triglycerides, cholesterol, glucose, insulin, etc) will be determined.
|
2 hours after consuming a standardized meal
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: David M Mutch, PhD, University of Guelph
Publications and helpful links
General Publications
- Perreault M, Zulyniak MA, Badoud F, Stephenson S, Badawi A, Buchholz A, Mutch DM. A distinct fatty acid profile underlies the reduced inflammatory state of metabolically healthy obese individuals. PLoS One. 2014 Feb 10;9(2):e88539. doi: 10.1371/journal.pone.0088539. eCollection 2014.
- Badoud F, Lam KP, DiBattista A, Perreault M, Zulyniak MA, Cattrysse B, Stephenson S, Britz-McKibbin P, Mutch DM. Serum and adipose tissue amino acid homeostasis in the metabolically healthy obese. J Proteome Res. 2014 Jul 3;13(7):3455-66. doi: 10.1021/pr500416v. Epub 2014 Jun 23.
- Badoud F, Lam KP, Perreault M, Zulyniak MA, Britz-McKibbin P, Mutch DM. Metabolomics Reveals Metabolically Healthy and Unhealthy Obese Individuals Differ in their Response to a Caloric Challenge. PLoS One. 2015 Aug 14;10(8):e0134613. doi: 10.1371/journal.pone.0134613. eCollection 2015.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 10AP033
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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