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Dataset Information

Identification and functional analysis of hub genes in knee osteoarthritis via bioinformatics and experimental validation.


ABSTRACT:

Objective

Knee osteoarthritis (KOA) is a prevalent chronic degenerative joint disease that causes chronic pain and mobility restrictions in the elderly, significantly impacting quality of life. Current treatments focus on symptom relief, lacking effective interventions targeting the underlying mechanisms. Understanding KOA's molecular mechanisms and identifying key pathogenic genes are essential for developing targeted therapies.

Methods

Gene expression data from KOA patients and healthy controls were obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to reveal the associated biological processes and signal

SUBMITTER: Jiang S 

PROVIDER: S-EPMC12753952 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature