Identification of key biomarkers and immune infiltration in the thoracic acute aortic dissection by bioinformatics analysis.

ABSTRACT:

Background

Thoracic acute aortic dissection (TAAD), one of the most fatal cardiovascular diseases, leads to sudden death, however, its mechanism remains unclear.

Methods

Three Gene Expression Omnibus datasets were employed to detect differentially expressed genes (DEGs). A similar function and co-expression network was identified by weighted gene co-expression network analysis. The least absolute shrinkage and selection operator, random forest, and support vector machines-recursive feature elimination were utilized to filter diagnostic TAAD markers, and then screened markers were validated by quantitative real-time PCR and another independent dataset. CIBERSORT was deployed to analyze and evaluate immune cell infiltration in TAAD tissues.

Results

Twenty-five DEGs were

SUBMITTER: Luo J 

PROVIDER: S-EPMC9909862 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature