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

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.