A neural network model was constructed by screening the potential biomarkers of aortic dissection based on genes associated with pyroptosis.

ABSTRACT:

Background

Aortic dissection (AD) is one of the crucial and common cardiovascular diseases, and pyroptosis is a novel cell delivery mechanism that is probably involved in the pathogenesis of various cardiovascular diseases. However, no study has investigated the role of pyroptosis in AD.

Methods

We obtained two AD datasets, GSE153434 and GSE190635, from the Gene Expression Omnibus database. The differential expression of AD-related genes was determined by differential analysis, and their enrichment analysis was performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases. Additionally, a protein-protein interaction network was established. Next, potential biomarkers were screened by Lasso regression analysis, and a neural network model was constructed.

SUBMITTER: Chen C 

PROVIDER: S-EPMC10683593 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature