Dipeptidyl Peptidase IV Inhibitors for Nonalcoholic Fatty Liver Disease - Systematic Review and Metanalysis

Curr Diabetes Rev. 2021;17(5):e101120187811. doi: 10.2174/1573399816999201110195634.

Abstract

Introduction: Hepatic steatosis is a frequent condition that afflicts, especially, obese and insulin-resistant patients. Diagnosis is usually made through imaging tests. Despite the high prevalence and risk of complications, there is no specific treatment approved, though a vast number of medications have been tested.

Objective: This study aimed to determine the efficacy of dipeptidyl peptidase IV inhibitors (i DPP- IV) in the treatment of NAFLD.

Methods: We searched the electronic databases of the Cochrane Library, MEDLINE, EMBASE, and LILACS, as well as reference lists of the included studies and grey literature; 9 studies were selected for inclusion.

Results: 7 studies were used for metanalysis for 3 outcomes. i DPP-IV showed an ALT-reducing power of MD -10.83 (95% CI 35.23 to 13.57) at 3 months and MD -9.27 (95% CI 10.92 to -7.62) at 6 months of intervention, as well as a reduction of hepatic steatosis via MRI of SMD 0.10 (95% CI 0.31 to 0.50); the overall incidence of adverse events was very low. The studies were considered of low and very low quality by the GRADE evaluation.

Conclusion: Because of the overall poor quality of the studies and heterogeneity of the population analyzed, i DPP-IV did not show efficacy on inflammatory markers or fibrosis in patients with NAFLD.

Keywords: Dipeptidyl-Peptidase IV inhibitors; fatty liver; obesity; steatohepatitis; systematic review.; type 2 diabetes mellitus.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Diabetes Mellitus, Type 2* / complications
  • Diabetes Mellitus, Type 2* / drug therapy
  • Dipeptidyl-Peptidase IV Inhibitors* / therapeutic use
  • Humans
  • Hypoglycemic Agents
  • Insulin
  • Non-alcoholic Fatty Liver Disease* / drug therapy

Substances

  • Dipeptidyl-Peptidase IV Inhibitors
  • Hypoglycemic Agents
  • Insulin