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| Name | Class |
|---|---|
| Public Health Agency of Canada (PHAC) | OTHER_GOV |
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The purpose of this study is to better understand the genetic and metabolic differences in obese individuals with and without type 2 diabetes. It is expected that this research will help improve our understanding of the variability observed between obese and diabetic individuals.
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:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| High fat/high calorie meal | Experimental | All subjects are provided a high calorie (~1300kcal) and high fat (~60g fat) breakfast meal. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| High fat/high calorie meal | Other | All subjects are provided a high calorie (~1300kcal) and high fat (~60g fat) breakfast meal. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Measure circulating inflammatory markers and fatty acids associated with obesity and diabetes. | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Analyze adipose tissue gene expression in obese and diabetic subjects | Gene expression analyzed using microarrays | baseline |
| Measure standard clinical and anthropometric markers associated with obesity and diabetes. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| David M Mutch, PhD | University of Guelph | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Guelph, Human Nutraceutical Research Unit | Guelph | Ontario | N1G 2W1 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24520395 | Result | 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. | |
| 24933025 | Result | 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. |
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| ID | Term |
|---|---|
| D009765 | Obesity |
| D024821 | Metabolic Syndrome |
| D050171 | Dyslipidemias |
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
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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. | 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. | 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 |
| 26274804 | Result | 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. |
| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D007333 | Insulin Resistance |
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D052439 | Lipid Metabolism Disorders |
| D004700 | Endocrine System Diseases |