Insights into the interplay between stroke and depression through lipid metabolism-related diagnostic genes.

ABSTRACT: Stroke, a result of acute cerebrovascular disease that causes cerebral dysfunction, often coexists with depression or even major depressive disorder (MDD). Despite the recognized significance of lipid metabolism disorders in both stroke and depression, their interwoven role in the pathogenesis of these conditions remains largely uncharted. This study sourced transcriptomic data linked to stroke and depression from the GEO database. Hub genes were identified through weighted gene coexpression network analysis (WGCNA) and machine learning algorithms. The diagnostic efficacy of the model featuring hub genes was evaluated using receiver operating characteristic (ROC) curve analyses and nomogram plots. Enrichment analysis and immune infiltration were examined while potential therapeutic agents

SUBMITTER: Liu Y 

PROVIDER: S-EPMC12930612 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature