Integrative transcriptomic analysis reveals diagnostic biomarkers for comorbidity of coronary artery disease and obstructive sleep apnea.

ABSTRACT:

Background

The co-occurrence of coronary artery disease (CAD) and obstructive sleep apnea (OSA), termed CADOSA, leads to worse clinical outcomes than either condition alone, yet its molecular mechanisms remain unclear, necessitating biomarker discovery for improved diagnosis and personalized management.

Methods

This study enrolled 96 age-matched participants (24 healthy controls, 25 CAD, 23 OSA, and 24 CADOSA) for clinical assessment and PBMC transcriptomic profiling. Integrated bioinformatics analyses included differential gene expression (edgeR/DESeq2), pathway enrichment, protein-protein interaction networks and topological analysis, machine learning-based biomarker selection, and immune cell infiltration evaluation.

Results

CADOSA patients had more severe cardiac

SUBMITTER: Liu Q 

PROVIDER: S-EPMC12484168 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature