Circulating metabolic biomarkers predict incident sepsis: a large-scale population study in the UK Biobank.

ABSTRACT:

Background

Currently, there is an absence of large-scale research focusing on the metabolome profiles of individuals prior to the development of sepsis. This study aimed to evaluate the associations of circulating Nuclear Magnetic Resonance (NMR) metabolic biomarkers with the risk of incident sepsis and the predictive ability of these metabolites for sepsis.

Methods

The analysis utilized plasma metabolomic data measuring through NMR from the UK Biobank, which involved baseline plasma samples of 106,533 participants. The multivariable-adjusted Cox proportional hazard models were used to assess the associations of each circulating NMR metabolite biomarker with risk of incident sepsis. The full cohort was randomly assigned to a training set (n = 53,267) and a test set (n = 53,2

SUBMITTER: Bai H 

PROVIDER: S-EPMC12357410 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature