Intervention
Otherhigh protein diet (carbohydrates 45%, protein 29%, and fat 26%) over 8-week periods.
NCT Number: NCT05925933
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.
Trial opening soon.
Get Notified18 year–50 year
All sexes
Interventional
Not applicable
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Exclusion criteria
Inclusion criteria
Cases:
Controls:
high protein diet (carbohydrates 45%, protein 29%, and fat 26%) over 8-week periods.
Time frame: 6 Months
BMI will be calculated by using formula weight (Kg)/height (m2).
Time frame: 2 MONTHS
Body estimations will be done by DEXA Scan
Time frame: 2 Months
Liver fat will be done by MRI Scan
Time frame: 06 MONTHS
Time frame: 06 MONTHS
Pancreatic fat estimation will be done by MRI
Time frame: 06 MONTHS
Time frame: 06 MONTHS
Contact information is provided by the study sponsor or research team.
Anoop Misra, MD
CONTACT
Surya Prakash, PhD+Post Doc
CONTACT
Diabetes Foundation, India
Other
Effect of High Protein Diet on Transcriptomic Regulations, Plasma Metabolomics, Hepatic and Pancreatic Fat Anatomy and Physiology in Asian Indians With Pre-diabetes
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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