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临床试验/NCT01884714
NCT01884714已完成不适用

New and Innovative Bioanalytical Tools to Assess Lifestyle Recommendations for Managing Type-2 Diabetes

University of Guelph2 个研究点 分布在 1 个国家目标入组 80 人开始时间: 2011年7月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
80
试验地点
2
主要终点
Measure circulating inflammatory markers and fatty acids associated with obesity and diabetes.

研究概览

简要总结

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.

详细描述

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:

  1. Recruit a sample of lean, lean/diabetic, obese, and obese/diabetic research participants from the Guelph community.
  2. 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.
  3. Define the metabotype of these 4 groups by profiling plasma metabolites with mass spectrometry. The current study will examine only blood metabolites.
  4. Define subcutaneous adipose tissue gene expression profiles of these 4 groups using microarray technology.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Basic Science
盲法
None

入排标准

年龄范围
35 Years 至 70 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Stable body weight (± 2 kg) for at least 3 months.

排除标准

  • Evidence of acute or chronic inflammatory disease
  • Infectious diseases
  • Viral infection
  • Alcohol consumption (i.e. more than 2 drinks/day, where 1 drink = 10 g alcohol).

结局指标

主要结局

Measure circulating inflammatory markers and fatty acids associated with obesity and diabetes.

时间窗: 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.

次要结局

  • Examine global serum metabolite profiles associated with obesity and diabetes.(baseline)
  • Analyze adipose tissue gene expression in obese and diabetic subjects(baseline)
  • Measure standard clinical and anthropometric parameters in obese and diabetic participants following a standardized meal.(2 hours after consuming a standardized meal)
  • Measure standard clinical and anthropometric markers associated with obesity and diabetes.(baseline)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

David M Mutch

Associate Professor

University of Guelph

研究点 (2)

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