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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| High Protein Diet | Experimental | High protein diet (carbohydrates 45%, protein 29%, and fat 26%) over 8-week periods. All assessments as done on day 1 will be repeated on day 60. |
|
| Control Group | Other | Equicaloric normal diet (carbohydrates 60%, protein 15%, and fat 25%) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Intervention | Other | high protein diet (carbohydrates 45%, protein 29%, and fat 26%) over 8-week periods. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Body Mass Index | BMI will be calculated by using formula weight (Kg)/height (m2). | 6 Months |
| Body Fat | Body estimations will be done by DEXA Scan | 2 MONTHS |
| Liver Fat | Liver fat will be done by MRI Scan | 2 Months |
| Next Generation sequencing | 06 MONTHS | |
| Pancreatic fat | Pancreatic fat estimation will be done by MRI | 06 MONTHS |
| RNA Extraction | 06 MONTHS | |
| Metabolomics profile | 06 MONTHS |
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Exclusion Criteria:
Inclusion Criteria
Cases:
Controls:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Anoop Misra, MD | Contact | 01149101222 | anoopmisra@gmail.com | |
| Surya Prakash, PhD+Post Doc | Contact | 01141759672 | suryabhat@gmail.com |
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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 or high protein diet over 8-week periods. All assessments as done on day 1 will be repeated on day 60.
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| ID | Term |
|---|---|
| D018149 | Glucose Intolerance |
| ID | Term |
|---|---|
| D006943 | Hyperglycemia |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| ID | Term |
|---|---|
| D008722 | Methods |
| ID | Term |
|---|---|
| D008919 | Investigative Techniques |
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