Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis.

ABSTRACT:

Background

Insomnia (ISM) is one of the non-traditional drivers of atherosclerosis (AS) and an important risk factor for AS-related cardiovascular disease. Our study aimed to explore the shared pathways and diagnostic biomarkers of ISM-related AS using integrated bioinformatics analysis.

Methods

We download the datasets from the Gene Expression Omnibus database and the GeneCards database. Weighted gene co-expression network analysis and gene differential expression analysis were applied to screen the AS-related gene set. The shared genes of ISM and AS were obtained by intersecting with ISM-related genes. Subsequently, candidate diagnostic biomarkers were identified by constructing protein-protein interaction networks and machine learning algorithms, and a nomogram was constr

SUBMITTER: Yang Q 

PROVIDER: S-EPMC11493776 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature