Identification of key genes in osteoarthritis development: biomarker discovery and therapeutic targets.

ABSTRACT:

Introduction

Osteoarthritis (OA) is the most common joint disorder and a leading cause of disability in the older adult. Early diagnosis and treatment are crucial for effective disease management and improved outcomes. This study aims to identify key genes involved in OA progression using bioinformatics, which may serve as diagnostic biomarkers and therapeutic targets.

Methods

Synovial tissue sequencing data (GSE1919, GSE55235, GSE82107) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) network analysis. ROC curve analysis was used to assess diagnostic potential, and results were validated using the

SUBMITTER: Wu L 

PROVIDER: S-EPMC12263647 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature