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American Heart Association

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Final ID: Su3096

Plasma Protein Biomarkers of Coronary Artery Ectasia Based on Multiple Cohort Studies

Abstract Body (Do not enter title and authors here): Background: Coronary artery ectasia (CAE), defined as pathological coronary dilation exceeding 1.5 times the diameter of adjacent normal segments, is a complex cardiovascular disorder. Its pathogenic mechanisms remain incompletely understood, and non-invasive diagnostic tools are currently limited.
Methods: Plasma proteomic profiles from a Chinese cohort (analyzed by data-independent acquisition (DIA)) were integrated with UK Biobank data (Olink Explore platform) to identify CAE-specific biomarkers. Cross-platform meta-analysis identified consistently dysregulated proteins. Four candidate biomarkers were subsequently validated using enzyme-linked immunosorbent assay (ELISA) in independent cohorts.
Results: We identified CAE-associated biomarkers enriched in pathways involving immune activation, extracellular matrix remodeling, and cytokine signaling. Meta-analysis revealed nine consistently dysregulated proteins. Four biomarkers were validated as reliable diagnostic tools: cluster of differentiation 27 (CD27), C-X-C motif chemokine ligand 14 (CXCL14), Insulin-like growth factor-binding protein 7 (IGFBP7), and Lipopolysaccharide-binding protein (LBP). These demonstrated robust diagnostic performance (area under the curve [AUC] range: 0.70–0.90), correlated significantly with disease severity, and were markedly elevated in CAE patients complicated by myocardial infarction. The findings implicate chronic low-grade vascular inflammation and T-cell immune dysregulation as potential pathogenic mechanisms driving CAE progression.
Conclusion: This study identifies novel non-invasive biomarkers (CD27, CXCL14, IGFBP7, LBP) for the early detection and risk stratification of CAE, addressing critical gaps in clinical management. The results establish key pathogenic pathways driving CAE progression.
  • Tang, Muyun  ( Peking Union Medical College Hospital , Beijing , China )
  • Luan, Xiaodong  ( Peking Union Medical College Hospital , Beijing , China )
  • Zhang, Shuyang  ( Peking Union Medical College Hospital , Beijing , China )
  • Li, Qingao  ( Peking Union Medical College Hospital , Beijing , China )
  • Cao, Han  ( The Hong Kong University of Science and Technology , Hong Kong , Hong Kong )
  • Sun, Jiejun  ( Peking Union Medical College Hospital , Beijing , China )
  • Liu, Zhenyu  ( Peking Union Medical College Hospital , Beijing , China )
  • Jin, Ye  ( Peking Union Medical College Hospital , Beijing , China )
  • Fu, Amy  ( The Hong Kong University of Science and Technology , Hong Kong , Hong Kong )
  • Tian, Ran  ( Peking Union Medical College Hospital , Beijing , China )
  • Ip, Nancy  ( The Hong Kong University of Science and Technology , Hong Kong , Hong Kong )
  • Author Disclosures:
    Muyun Tang: DO NOT have relevant financial relationships | Xiaodong Luan: No Answer | Shuyang Zhang: No Answer | Qingao Li: DO NOT have relevant financial relationships | Han CAO: DO NOT have relevant financial relationships | Jiejun Sun: No Answer | Zhenyu Liu: No Answer | ye jin: No Answer | Amy Fu: No Answer | Ran Tian: DO NOT have relevant financial relationships | Nancy IP: No Answer
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Next-Generation Biomarkers & Omics-Driven Risk Stratification

Sunday, 11/09/2025 , 03:15PM - 04:15PM

Abstract Poster Board Session

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