Effect of High Protein Diet on Transcriptomic Regulations, Plasma Metabolomics, Hepatic and Pancreatic Fat Anatomy and Physiology in Asian Indians With Pre-diabetes
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 60
- 主要终点
- Body Mass Index
研究概览
简要总结
Diabetes/ prediabetes is a substantial problem in India not only because it itself can be associated with morbidities such as coronary artery disease but also because it is a point of importance for the prevention of other diseases. It is not clear if a high protein calorie diet in the Indian population associated with a heightened tendency for prediabetes, metabolic syndrome, atherosclerosis and dysmetabolic state etc. could, besides lifestyle factors, be related to diet, or interaction between the two. The analysis of whole blood transcriptomes and plasma metabolomics profiles may be a potentially useful tool for the assessment of metabolic health status. The proposed study is the first to perform a detailed gene expression profiling with the use of next-generation sequencing technology to assess the differences in molecular mechanisms in the peripheral blood of subjects with prediabetes.
详细描述
This study will be conducted at the outpatient department of the National Diabetes, Obesity and Cholesterol Foundation (N-DOC), Diabetes Foundation (India) (DFI)and Fortis-C-DOC, Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, New Delhi, India.
Experimental Protocol: In this study, a total of 60 subjects with pre-diabetes and 60 age and body mass index, and gender-matched controls (age 18-40 years) will be recruited. They will be randomized to an equicaloric normal diet (carbohydrates 60%, protein 15%, and fat 25%) or a high protein diet (carbohydrates 45%, protein 29%, and fat 26%) over 8-week periods. All assessments as done on day 1 will be repeated at day 60.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- Double (Participant, Investigator)
入排标准
- 年龄范围
- 18 Years 至 50 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- 未提供
排除标准
- •Acute infections and advanced end-organ damage.
- •History of hepatitis or pancreatitis, abnormal liver and renal function tests.
- •Recent (<3 months) changes in weight (≥5%) and/or weight changing medications.
- •Subjects with metallic implants, pacemaker leads, radioactive seeds or surgical staples in the body.
- •Inclusion Criteria
- •Age 18 to 50 years. Subjects with pre-diabetes on oral glucose tolerance test (OGTT)
- •Fasting blood glucose≥100mg/dl and <126 mg/dl or 2-h plasma glucose ≥140mg/dl and <200mg/dl (after ingestion of 75 grams of anhydrous oral glucose) or both.
- •Age 18 to 50 years. Normoglycemia by OGTT
- •Fasting blood glucose <100mg/dl and 2-h plasma glucose <140mg/dl (after ingestion of 75 gram of anhydrous oral glucose).
结局指标
主要结局
Body Mass Index
时间窗: 6 Months
BMI will be calculated by using formula weight (Kg)/height (m2).
Body Fat
时间窗: 2 MONTHS
Body estimations will be done by DEXA Scan
Next Generation sequencing
时间窗: 06 MONTHS
RNA Extraction
时间窗: 06 MONTHS
Pancreatic fat
时间窗: 06 MONTHS
Pancreatic fat estimation will be done by MRI
Metabolomics profile
时间窗: 06 MONTHS
Liver Fat
时间窗: 2 Months
Liver fat will be done by MRI Scan
次要结局
未报告次要终点