Abstract 4369679: Plasma Protein Biomarkers of Coronary Artery Ectasia Based on Multiple Cohort Studies

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.

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Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4369679
Primary Topic
Kawasaki Disease and Coronary Complications
Type
article
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article

Abstract 4369679: Plasma Protein Biomarkers of Coronary Artery Ectasia Based on Multiple Cohort Studies

Ran Tian, Jiejun Sun, Muyun Tang, Xiaodong Luan et al.
Circulation
Kawasaki Disease and Coronary Complications
article

Abstract 4369679: Plasma Protein Biomarkers of Coronary Artery Ectasia Based on Multiple Cohort Studies

Ran Tian, Jiejun Sun, Muyun Tang, Xiaodong Luan, Nancy Y. Ip, Siu Ngor Fu, Han Cao, Zhenyu Liu, Jin Ye, Qike Li, Shuyang Zhang
article en

Abstract

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.

CirculationVol. 152(Suppl_3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Hong Kong University of Science and Technology (HK), Peking Union Medical College Hospital (CN)
Openalex Percentile: Top 50%
Kawasaki Disease and Coronary Complications
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