An observational study in Type2diabetes, sponsored by Medanta, The Medicity, India. Completed at 1 site in India. Open to participants aged 30 Years to 70 Years. Per ClinicalTrials.gov, last updated 2025-08-03.
Sponsored by Medanta, The Medicity, India · Observational
Type 2 diabetes and metabolic (dysfunction)-associated fatty liver disease (MAFLD) often exist together. The prevalence of MAFLD is about 15-30% in healthy people and around 60-70% in people with type 2 diabetes. Moreover, type 2 diabetes accelerates the progression of liver disease in MAFLD.
MAFLD is a spectrum of liver conditions, ranging from simple fatty liver (low risk for progression), progressing to steatohepatitis (MASH) with no or mild fibrosis, advanced liver fibrosis, cirrhosis, and hepatocellular carcinoma. Although diabetes is the strongest predictor of advanced fibrosis in MAFLD, however, only a small proportion of people with type 2 diabetes and MAFLD (about 5-7%) develop a clinically significant liver disease, but the burden of MAFLD is such that even a small proportion of patients developing cirrhosis will lead to a huge strain on the health care system in India. MAFLD is predicted to be the leading indication for liver transplantation in coming years. At present, MAFLD/MASH is the second most common indication for liver transplantation in the USA as well as in India.
The question is why around 5-7% patients amongst MAFLD population develop fibrosis and cirrhosis. A growing body of evidence suggest that the disease develops because of a complex process in which several factors, including genetic susceptibility and environmental insults, are involved. There are several gene variants that have been incriminated in the development and progression of MAFLD. The most common genes associated with MAFLD are PNPLA3, TM6SF2, GCKR, and MBOAT7. The loss-of-function gene variant HSD17B13 seems to protect from NAFLD. There are a few studies from India about the role of PNPLA3 and TM6SF2 in MAFLD. However, these studies used USG for the diagnosis of MAFLD, which does not provide any information regarding fibrosis of the liver. The data regarding other three genetic variants are scarce from Indian individuals.
Type 2 diabetes and metabolic (dysfunction)-associated fatty liver disease (MAFLD) often exist together. The prevalence of MAFLD is about 15-30% in healthy people and around 60-70% in people with type 2 diabetes. Moreover, type 2 diabetes accelerates the progression of liver disease in MAFLD.
MAFLD is a spectrum of liver conditions, ranging from simple fatty liver (low risk for progression), progressing to steatohepatitis (MASH) with no or mild fibrosis, advanced liver fibrosis, cirrhosis, and hepatocellular carcinoma. Although diabetes is the strongest predictor of advanced fibrosis in MAFLD, however, only a small proportion of people with type 2 diabetes and MAFLD (about 5-7%) develop a clinically significant liver disease, but the burden of MAFLD is such that even a small proportion of patients developing cirrhosis will lead to a huge strain on the health care system in India. MAFLD is predicted to be the leading indication for liver transplantation in coming years. At present, MAFLD/MASH is the second most common indication for liver transplantation in the USA as well as in India.
The question is why around 5-7% patients amongst MAFLD population develop fibrosis and cirrhosis. A growing body of evidence suggest that the disease develops because of a complex process in which several factors, including genetic susceptibility and environmental insults, are involved. There are several gene variants that have been incriminated in the development and progression of MAFLD. The most common genes associated with MAFLD are PNPLA3, TM6SF2, GCKR, and MBOAT7. The loss-of-function gene variant HSD17B13 seems to protect from NAFLD. There are a few studies from India about the role of PNPLA3 and TM6SF2 in MAFLD. However, these studies used USG for the diagnosis of MAFLD, which does not provide any information regarding fibrosis of the liver. The data regarding other three genetic variants are scarce from Indian individuals.
Medanta, The Medicity, India is the lead sponsor of 14 studies on the registry; 5 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Individuals with or without diabetes will be enrolled
Individuals with or without T2DM between ages 30 to 70 years
Exclusion Criteria:
Age below 30 years Patients with hepatitis B, hepatitis C or HIV disease Patients with significant alcohol intake (>14 drinks/week in men and >10 drinks/week in women).
Patients on corticosteroids and chemotherapeutic agents.
Role of the PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13 genetic variants in the development and progression of MASLD.
To evaluate the role of the PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13 genetic variants in the development and progression of MASLD (steatosis, fibrosis, cirrhosis as measured by transient elastography, MRI-PDFF, dynamic MRI of the liver) in Indian individuals with type 2 diabetes
Time frame: One Year
Correlation between body fat percentage (DEXA-measured) and the genetic variants
To examine correlation between body fat percentage (DEXA-measured) and the genetic variants (PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13).
Time frame: One Year
Correlation between lean body mass (as measured by DEXA) and the genetic variants
To examine correlation between lean body mass (as measured by DEXA) and the genetic variants (PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13).
Time frame: One Year
Correlation between bone mineral content (DEXA-measured) and the genetic variants
To examine correlation between bone mineral content (DEXA-measured) and the genetic variants (PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13).
Time frame: One Year
Correlation between fibrosis-4 score (FIB-4) and the genetic variants
To examine correlation between fibrosis-4 score (FIB-4) and the genetic variants (PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13).
Time frame: One Year
Correlation between MASLD fibrosis score (NFS) and the genetic variants
To examine correlation between MASLD fibrosis score (NFS) and the genetic variants (PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13).
Time frame: One Year
Correlation between serum creatinine levels (eGFR) and the genetic variants
To examine correlation between serum creatinine levels (eGFR) and the genetic variants (PNPLA3, TM6SF2, GCKR, MBOAT7 and HSD17B13).
Time frame: One Year
Plan to share: No
This study is completed, as verified in Jul 2025. You cannot join it, but the record below documents what was studied.
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Medanta, The Medicity, India