Identifying obesity subtypes: A review of studies utilising clinical biomarkers and genetic data

Diabet Med. 2023 Dec;40(12):e15226. doi: 10.1111/dme.15226. Epub 2023 Sep 21.

Abstract

Obesity is a complex and multifactorial condition that poses significant health risks. Recent advancements in our understanding of obesity have highlighted the heterogeneity within this disorder. Identifying distinct subtypes of obesity is crucial for personalised treatment and intervention strategies. This review paper aims to examine studies that have utilised clinical biomarkers and genetic data to identify clusters or subtypes of obesity. The findings of these studies may provide valuable insights into the underlying mechanisms and potential targeted approaches for managing obesity-related health issues such as type 2 diabetes.

Keywords: adiposity; cardiovascular disease; ectopic fat; genetics; obesity; precision medicine; type 2 diabetes.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Diabetes Mellitus, Type 2* / genetics
  • Humans
  • Obesity / genetics

Substances

  • Biomarkers