Bioinformatics analyses of comorbid mechanisms between psoriasis and type 2 diabetes mellitus.

ABSTRACT: Epidemiological association between psoriasis and T2DM suggests shared pathophysiology that are to be explored. Microarray expression profiles for psoriasis and T2DM were obtained from the Gene Expression Omnibus (GEO) database. The "limma" package in R software was used to screen the differentially expressed genes (DEG). GO and KEGG enrichment analysis were further conducted to explore the functions of co-DEGs. By intesecting genes of the key disease-related modules from WGCNA with co-DEGs, candidate co-driver genes were identified and their PPI network was constructed. Hub genes with good diagnostic potential were obtained by ROC analysis and their expression was further compared in validation datasets as well as clinical samples. The crucial co-driver genes, identified by a consistently

SUBMITTER: Wang Z 

PROVIDER: S-EPMC12540889 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature