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Dataset Information

Identification of key genes and immune infiltration in osteoarthritis through analysis of zinc metabolism-related genes.


ABSTRACT:

Background

Osteoarthritis (OA) represents a prominent etiology of considerable pain and disability, and conventional imaging methods lack sensitivity in diagnosing certain types of OA. Therefore, there is a need to identify highly sensitive and efficient biomarkers for OA diagnosis. Zinc ions feature in the pathogenesis of OA. This work aimed to investugate the role of zinc metabolism-related genes (ZMRGs) in OA and the diagnostic characteristics of key genes.

Methods

We obtained datasets GSE169077 and GSE55235 from the Gene Expression Omnibus (GEO) and obtained ZMRGs from MSigDB. Differential expression analysis was conducted on the GSE169077 dataset using the limma R package to identify differentially expressed genes (DEGs), and the intersection of DEGs and ZMRGs yielded z

SUBMITTER: You X 

PROVIDER: S-EPMC10956297 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature