Metabolomic network reveals novel biomarkers for type 2 diabetes mellitus in the UK Biobank study.

ABSTRACT:

Aims

To identify hub metabolic biomarkers that constructively shape the type 2 diabetes mellitus (T2DM) risk network.

Materials and methods

We analysed data from 98 831 UK Biobank participants, confirming T2DM diagnoses via medical records and International Classification of Diseases codes. Totally 168 circulating metabolites were quantified by nuclear magnetic resonance at baseline. Metabolome-wide association studies with Cox proportional hazards models were performed to identify statistically significant metabolites. Network analysis was applied to compute topological attributes (degree, betweenness, closeness and eigencentrality) and to detect small-world features (high clustering, short path lengths). Identified metabolites were used with XGBoost models to assess risk p

SUBMITTER: Liu J 

PROVIDER: S-EPMC12046487 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature