Identification and verification of oxidative stress-related genes in the diagnosis of osteoporosis.

ABSTRACT: The association between oxidative stress and osteoporosis (OP) has been substantiated by numerous studies; however, the precise underlying mechanism remains elusive. Hence, we employed bioinformatics methodologies to investigate this phenomenon. OP-related datasets (GSE56815 and GSE7158) were utilized in this study. Key module genes linked to oxidative stress-related genes (OS-RGs) were acquired through weighted gene coexpression network analysis (WGCNA). By crossing key module genes and differentially expressed genes (DEGs) from differential expression analysis, candidate genes were obtained. Subsequently, diagnostic genes were obtained through receiver operating characteristic (ROC) curve analysis and expression evaluation. Furthermore, a nomogram model was developed utilizing these gene

SUBMITTER: Liu Z 

PROVIDER: S-EPMC12222490 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature