Ontology highlight
ABSTRACT: Background
Post-stroke cognitive impairment (PSCI) affects up to half of stroke survivors, severely impacting their quality of life. Despite its prevalence, the pathogenesis of PSCI remains poorly understood, and no specific pharmacological treatments are currently available.Results
In PSCI patients, fecal butyrate levels were significantly reduced and correlated with cognitive scores. A machine learning model incorporating butyrate levels, butyrate-producing bacteria, and clinical factors (education, smoking, body mass index [BMI], hemoglobin) demonstrates strong predictive performance (area under the curve [AUC]: 0.793 internal, 0.795 external validation). In a transient middle cerebral artery occlusion (tMCAO) mouse model, both sexes displayed sustained gut microbiota dy
SUBMITTER: Ren Y
PROVIDER: S-EPMC12771730 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature