Taurine is a potential therapy for rheumatoid arthritis via targeting FOXO3 through cellular senescence and autophagy.

ABSTRACT:

Background

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease closely related to aging with unclear pathogenic mechanisms. This study aims to identify the biomarkers in RA, aging and autophagy using bioinformatics and machine learning and explore the binding stability of taurine to target utilizing computer-aided drug design (CADD).

Methods

We identified differentially expressed genes (DEGs) for RA, then crossed with gene libraries for aging and autophagy to identify common genes (Co-genes). We performed Gene Ontology (GO), Kyoto Encyclopedia of the Genome (KEGG), and ClueGO analysis for Co-genes. The Co-genes were subjected to support vector machine-recursive feature elimination (SVM-RFE), Degree, and Betweenness algorithms to get hub genes, then verifie

SUBMITTER: Zheng Q 

PROVIDER: S-EPMC12002484 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature