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

Area of Science:

• Bioinformatics
• Genomics
• Cardiovascular Disease Research

Background:

• Insomnia (ISM) is an emerging risk factor for atherosclerosis (AS).
• Understanding the molecular links between ISM and AS is crucial for cardiovascular health.
• This study investigates shared pathways and biomarkers for ISM-related AS.

Purpose of the Study:

• To identify shared genes and pathways between insomnia and atherosclerosis.
• To discover novel diagnostic biomarkers for insomnia-related atherosclerosis.
• To explore the underlying immune and inflammatory mechanisms.

Main Methods:

• Integrated bioinformatics analysis of public datasets (GEO, GeneCards).
• Weighted gene co-expression network analysis and differential gene expression analysis.
• Protein-protein interaction network construction and machine learning for biomarker identification.

Main Results:

• Identified 61 shared genes between insomnia and atherosclerosis.
• Discovered three diagnostic biomarkers: IL10RA, CCR1, and SPI1.
• Developed a nomogram with high predictive accuracy (AUC=0.931) for ISM-related AS.

Conclusions:

• IL10RA, CCR1, and SPI1 are potential diagnostic biomarkers for insomnia-related atherosclerosis.
• Shared genes are enriched in immune and inflammatory pathways.
• Findings provide insights into early diagnosis and treatment strategies for ISM-related AS.