Potential mechanisms of acupuncture treatment for rheumatoid arthritis: a study based on network topology and machine learning.

ABSTRACT:

Background

Rheumatoid arthritis (RA) is a systemic autoimmune disease that requires multitarget therapeutic strategies. Acupuncture, an integrative therapy of traditional Chinese medicine (TCM), has shown efficacy in the clinical treatment of RA, but its molecular mechanisms remain unclear.

Purpose

This study systematically elucidated the holistic regulatory effects of acupuncture on RA by integrating network topology with machine learning approaches.

Methods

Data on the interactions between acupuncture-affected endogenous compounds and RA-related targets were extracted from databases, and a multidimensional interaction network was constructed to map the interactions between acupuncture and RA. screened RA-related differentially expressed genes (DEGs) from the GEOdata

SUBMITTER: Li F 

PROVIDER: S-EPMC12502209 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature