Mendelian randomization and transcriptome analysis identified immune-related biomarkers for osteoarthritis.

ABSTRACT:

Background

The immune microenvironment assumes a significant role in the pathogenesis of osteoarthritis (OA). However, the current biomarkers for the diagnosis and treatment of OA are not satisfactory. Our study aims to identify new OA immune-related biomarkers to direct the prevention and treatment of OA using multi-omics data.

Methods

The discovery dataset integrated the GSE89408 and GSE143514 datasets to identify biomarkers that were significantly associated with the OA immune microenvironment through multiple machine learning methods and weighted gene co-expression network analysis (WGCNA). The identified signature genes were confirmed using two independent validation datasets. We also performed a two-sample mendelian randomization (MR) study to generate causal relations

SUBMITTER: Pang WW 

PROVIDER: S-EPMC11045931 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature