Integrative clinical and molecular insights into the comorbidity between depression and sleep apnea syndrome.

ABSTRACT:

Objective

To identify and characterize overlapping genes and pathways linking Depression and Sleep Apnea Syndrome (SAS).

Methods

A three-level analysis was conducted. Clinically, depression severity in 29 SAS patients was assessed using the Zung Self-Rating Depression Scale. Molecularly, an AI-driven literature mining approach was applied to extract gene-disease associations from PubMed and bioinformatics databases (19,924 genes), with prioritization using the Adjusted Binomial Method and validation via differential expression analysis. Functionally, shared genes were explored through protein-protein interaction (PPI) networks, enrichment analysis, and directional pathway modeling.

Results

Clinically, 62.07% of SAS patients exhibited depressive symptoms, with mild to

SUBMITTER: Chen H 

PROVIDER: S-EPMC12541589 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature