Ontology highlight
ABSTRACT: Objective
Ischemic stroke (IS), a leading cause of global disability and premature mortality, results from cerebral artery occlusion and subsequent ischemic necrosis. Fatty acid metabolism (FAM) plays a crucial role in energy supply and oxidative damage associated with IS, yet reliable biomarkers and targeted therapies remain elusive, necessitating systematic investigation.Methods
We integrated peripheral blood transcriptomes (GSE22255 and GSE58294) to identify FAM-related differentially expressed genes (FRDEGs). Consensus clustering of FRDEG expression classified IS subtypes. Weighted gene co-expression network analysis constructed subtype-specific modules. Biomarkers were screened using generalized linear models, least absolute shrinkage and selection operator, support ve
SUBMITTER: Wu J
PROVIDER: S-EPMC12481990 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature