Bioinformatics analysis reveals potential biomarkers associated with the occurrence of intracranial aneurysms.

ABSTRACT: To better understand the molecular mechanisms of intracranial aneurysm (IA) pathogenesis, we used gene coexpression networks to identify hub genes and functional pathways associated with IA onset. Two Gene Expression Omnibus (GEO) datasets encompassing intracranial aneurysm tissue samples and cerebral artery control samples were included. To discover functional pathways and potential biomarkers, weighted gene coexpression network analysis was employed. Next, single-gene gene set enrichment analysis was employed to investigate the putative biological roles of the chosen genes. We also used receiver operating characteristic analysis to confirm the diagnostic results. Finally, we used a rat model to confirm the hub genes in the module of interest. The module of interest, which was designated

SUBMITTER: Zhao C 

PROVIDER: S-EPMC9345973 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature