Lipidomic profiling unveils sex differences in diabetes risk: Implications for precision medicine.

ABSTRACT:

Aims/hypothesis

Type 2 diabetes is a multifactorial condition whose greatest impact comes from its complications. We hypothesized that distinct insulin-derived mechanisms and lipid profiles discriminate sex differences and can be used to identify subjects at higher risk to develop diabetes-related complications.

Methods

The PREVADIAB2 study evaluated metabolic alterations after 5 years in individuals initially free of Type 2 Diabetes (PREVADIAB1). In this analysis, 953 participants were stratified into clusters using hierarchical clustering based on insulinogenic index (IGI), fasting insulin secretion rate, HOMA-IR, and fasting insulin clearance. A subset of participants (n = 488) had their lipidome assessed using LC/MS-QTOF.

Results

Four clusters were identified: Liv

SUBMITTER: Pina AF 

PROVIDER: S-EPMC12817243 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature