Integrated Metabolic and Inflammatory Clustering Reveals Distinct Risk Profiles for Digestive Diseases.

ABSTRACT: Emerging research highlights the complex relationship between metabolic dysfunction and chronic low-grade inflammation, which disrupts gut homeostasis and drives disease progression. However, most current studies evaluate metabolic and inflammatory markers separately, relying on basic indicators such as body mass index (BMI) or individual biomarkers. In this study, a scalable clustering framework is developed to integrate six clinical parameters in 398 432 participants from the UK Biobank, identifying four distinct metabolic-inflammatory subtypes. Cox proportional hazards models demonstrate significant associations between these subtypes and digestive disease risk. Using 251 plasma metabolites and elastic net regression, cluster-associated metabolite signatures are identified. Mediation an

SUBMITTER: Jin Z 

PROVIDER: S-EPMC12667462 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature