Modeling the Impact of Extracellular Vesicle Cargoes in the Diagnosis of Coronary Artery Disease

Abstract

Objectives: We aimed to assess the relationship among circulating extracellular vesicles (EVs), hypoxia-related proteins, and the conventional risk factors of life-threatening coronary artery disease (CAD) to find more precise novel biomarkers. Methods: Patients were categorized based on coronary CT angiography. Patients with a Segment Involvement Score > 5 were identified as CAD patients. Individuals with a Segment Involvement Score Results: The area under the curve (AUC) values were 0.68, 0.77, and 0.84 in Models 1, 2, and 3, respectively. The variables with the greatest impact on the AUC values were hemoglobin (0.2 (0.16–0.26)) in Model 1, carboxypeptidase N subunit 1 (0.12 (0.09–0.14)) in Model 2, and circulating CD41+/CD61+ EVs (0.31 (0.15–0.5)) in Model 3. A correlation analysis showed a significant impact of circulating CD41+/CD61+ platelet-derived EVs (p = 0.03, r = −0.4176) in Model 3. Conclusions: Based on our results, the circulating EV profile can be used as a supportive biomarker, along with the conventional laboratory markers of CAD, and it enables a more sensitive, non-invasive diagnostic analysis of CAD.

Keywords

• cardiovascular disease
• circulating extracellular vesicles
• flow cytometry
• diagnosis
• supportive biomarker
• blood ectosome