Transcriptome-Based Identification of Biomarkers Associated With Sphingosine-1-Phosphate Signaling Pathway in Aortic Dissection.

ABSTRACT:

Background

Aortic dissection (AD) is the most dangerous disease in acute aortic syndrome and is associated with serious complications. Current studies have shown that sphingosine-1-phosphate (S1P) has a certain effect on AD. Therefore, this study focuses on exploring biomarkers related to S1P in AD.

Methods

Differentially expressed genes (DEGs) between AD and normal samples were identified from the GSE153434 dataset. Key module genes associated with the S1P score were then obtained using weighted gene coexpression network analysis (WGCNA). The DEGs were intersected with these key module genes to derive a set of intersection genes. Subsequently, a protein-protein interaction (PPI) network was constructed and screened to identify candidate genes. Further biomarker mining was p

SUBMITTER: Li A 

PROVIDER: S-EPMC12543661 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature