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.
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Body Mass Index
Timeframe: 6 Months
Body Fat
Timeframe: 2 MONTHS
Liver Fat
Timeframe: 2 Months
Next Generation sequencing
Timeframe: 06 MONTHS
Pancreatic fat
Timeframe: 06 MONTHS
RNA Extraction
Timeframe: 06 MONTHS
Metabolomics profile
Timeframe: 06 MONTHS