Integrative analysis of crosstalk genes and diagnostic biomarkers in lupus-associated osteoporosis.

ABSTRACT: Systemic lupus erythematosus (SLE) patients are at greater risk of developing osteoporosis (OP) than the general population. This study aimed to identify crosstalk genes between SLE and OP and to validate their diagnostic accuracy as biomarkers. Data analysis based on Gene Expression Omnibus (GEO) datasets was conducted. We utilized Weighted Gene Co-Expression Network Analysis (WGCNA) and differential expression analysis to identify crosstalk genes (CGs). Machine learning algorithms and consensus clustering were applied to screen shared diagnostic biomarkers and construct two predictive models featuring key genes. We also investigated potential subgroups, immune infiltration across different subtypes, and validated hub mRNAs using quantitative real-time PCR (qPCR). Molecular docking was pe

SUBMITTER: Chen Z 

PROVIDER: S-EPMC12041714 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature