Exploring common biomarkers of ischemic stroke and obstructive sleep apnea through bioinformatics analysis.

ABSTRACT:

Background

Clinical observations have shown that many patients with ischemic stroke (IS) have a history of obstructive sleep apnea (OSA) both before and after the stroke's onset, suggesting potential underlying connections and shared comorbid mechanisms between the two conditions. The aim of this study is to identify the genetic characteristics of OSA patients who develop IS and to establish a reliable disease diagnostic model to assess the risk of IS in OSA patients.

Methods

We selected IS and OSA datasets from the Gene Expression Omnibus (GEO) database as training sets. Core genes were identified using the Limma package, Weighted Gene Co-expression Network Analysis (WGCNA), and machine learning algorithms. Gene Set Variation Analysis (GSVA) was conducted for pathway enrich

SUBMITTER: Wu Z 

PROVIDER: S-EPMC11524449 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature