Predictive value of circulating NMR metabolic biomarkers for type 2 diabetes risk in the UK Biobank study.

ABSTRACT:

Background

Effective targeted prevention of type 2 diabetes (T2D) depends on accurate prediction of disease risk. We assessed the role of metabolomic profiling in improving T2D risk prediction beyond conventional risk factors.

Methods

Nuclear magnetic resonance (NMR) metabolomic profiling was undertaken on baseline plasma samples in 65,684 UK Biobank participants without diabetes and not taking lipid-lowering medication. Among a subset of 50,519 participants with data available on all relevant co-variates (sociodemographic characteristics, parental history of diabetes, lifestyle-including dietary-factors, anthropometric measures and fasting time), Cox regression yielded adjusted hazard ratios for the associations of 143 individual metabolic biomarkers (including lipids, lipo

SUBMITTER: Bragg F 

PROVIDER: S-EPMC9063288 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature