Exploring associations among pro-inflammatory cytokines, osteoarthritis, and gut microbiome composition in individuals with obesity using machine learning.

ABSTRACT:

Objective

To investigate potentially novel and modifiable mechanisms of the effects of gut microbiome composition on obesity-related osteoarthritis (OA), focusing on cross-sectional relationships between microbiota, cytokines, and lipopolysaccharide (LPS).

Design

Johnston County OA Project participants (n ​= ​64) with (cases) and without (controls) OA in hands and knees, with age ≥55 years and obesity (BMI ≥30 ​kg/m²), provided samples for multiplex cytokine, LPS, and fecal microbiota analysis. Latent Dirichlet Allocation (LDA), a machine learning method to detect latent groups within data, was used to identify microbial enterotypes. LDA regression models were used to evaluate associations of enterotypes with demographics, cytokines associated with OA, and LPS.

SUBMITTER: Kurz C 

PROVIDER: S-EPMC11985103 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature