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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.

Sec. Cardiovascular Genetics and Systems Medicine

Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1658016

Integrative Transcriptomic Analysis Reveals Diagnostic Biomarkers 1 for Comorbidity of Coronary Artery Disease and Obstructive Sleep 2 Apnea

Provisionally accepted
Liying  YuLiying Yu*Qingquan  LiuQingquan LiuXiaoyu  ChenXiaoyu ChenShuhan  ChenShuhan ChenHongzhi  GaoHongzhi GaoMeiting  HeMeiting HeYingting  ShiYingting ShiMingzhu  ZhaoMingzhu ZhaoHui-li  LinHui-li Lin
  • The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China

The final, formatted version of the article will be published soon.

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. 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 showed that CADOSA patients had more severe cardiac dysfunction (enlarged left ventricle), respiratory impairment (higher apnea-hypopnea index), and metabolic disturbances (elevated triglycerides/creatinine) compared to single-disease condition of CAD or OSA. Transcriptomics identified 832 CAD-specific, 166 OSA-specific, and 376 CADOSA-specific DEGs compared to the healthy control. The CADOSA exhibited both shared (impaired efferocytosis, neutrophil extracellular traps, and cytoskeletal abnormalities) and unique enriched pathways (NOD-like receptor/PPAR signaling pathway), predominantly associated with immune or metabolic dysregulation. Enhanced expression of S100A12 and MMP9 genes (AUC = 0.83 and 0.78, respectively) was identified as potential biomarkers for CADOSA, and their upregulation was further confirmed by qRT-PCR. Notably, S100A12 expression was correlated with increased monocyte infiltration, highlighting its role in inflammatory pathogenesis of CADOSA. These findings reveal immune-metabolic dysregulation underlying CADOSA and provide potential diagnostic biomarkers and targeted therapeutic targets for CADOSA patients.

Keywords: Coronary Artery Disease, obstructive sleep apnea syndrome, RNA sequencing, biomarker, immune

Received: 02 Jul 2025; Accepted: 02 Sep 2025.

Copyright: © 2025 Yu, Liu, Chen, Chen, Gao, He, Shi, Zhao and Lin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Liying Yu, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China

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