Identification of key genes and pathways associated with sex difference in osteoarthritis based on bioinformatics analysis.

ABSTRACT:

Objectives

The present study aimed to identify different key genes and pathways between postmenopausal females and males by studying differentially expressed genes (DEGs).

Methods

GSE32317 and GSE55457 gene expression data were downloaded from the GEO database, and DEGs were discovered using R software to obtain overlapping DEGs. The interaction between overlapping DEGs was further analyzed by establishing the protein-protein interaction (PPI) network. Finally, GO and KEGG were used for enrichment analysis.

Results

924 overlapping DEGs between postmenopausal women and men with osteoarthritis (OA) were identified, including 674 up-regulated genes and 249 down-regulated ones. And 10 hub genes were identified in the PPI network, including BMP4, KDM6A, JMJD1C, NFATC1, PRK

SUBMITTER: Xu J 

PROVIDER: S-EPMC9438520 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature