Objective
- Prediction of Type 2 Diabetes Mellitus (T2DM) years before its onset would be valuable to the patient, their family, and the overall healthcare system of the country.
Project Description
India is home to around ~77 million diabetics and ~25 million prediabetics. Prediabetes is a heterogenous group with different subsets of individuals – those with elevated glycated haemoglobin (HbA1c- between 5.7% to 6.4%), those with impaired fasting glucose alone, or those with impaired post-prandial glucose alone. Several studies have demonstrated that these different subgroups have different progression rates toward full-blown diabetes. Although fasting blood glucose (FBS), post-prandial blood glucose which is 2 hours post meal (PP2BS), oral glucose tolerance test (OGTT), and glycated haemoglobin (HbA1c) are the standard tests used for diabetes, they lack predictive value.
Studies have shown that full-blown diabetes can be prevented, or its onset can be significantly delayed if the pre-diabetic stage is identified early. Different interventions have been identified including lifestyle modifications and medications like metformin, acarbose, and SGLT21 which can prevent this progression. Presently, no diagnostic tests are available in India for prediabetes. The present proposal is the first step in the path to developing new diagnostic tests for this purpose.
Project Details
Principal Investigator: Prof. Pramod P. Wangikar
Cause Area/ Theme: Healthcare
Budget: INR 20 Lakhs
Technology Readiness Level: 6
Project Duration: 3 Years
UN SDG No: 3
Expected Impact
Prediction of Type 2 Diabetes Mellitus (T2DM) years before its onset would be valuable to the patient, their family, and the overall healthcare system of the country.
New biomarkers need to be identified from the hundreds of metabolites in human fluids. Hence, we propose performing metabolomic profiling via high-resolution (HR) liquid chromatography coupled with mass spectrometry (LCMS) and gas chromatography coupled with MS (GCMS).
These techniques are well-known for their ability to simultaneously perform untargeted and comprehensive analyses of many metabolites.