Correlation of Biomarkers With the Presence and Severity of Coronary Artery Disease

Overview

The development of coronary artery disease is multifactorial. Peripheral blood biomarkers paly an important role in the prediction of coronary artery disease. However, the identification of those biomarkers and their correlation with the presence and severity of coronary artery disease are unclear. The present study aims to identify the differentially expressed biomarkers from peripheral blood between normal population and patients with different disease burden confirmed by coronary angiography, and to analyze the correlation of those biomarkers with the severity of coronary artery disease. Finally, the prediction of biomarkers for clinical events.

This study includes three parts: 1. Part 1 (Pilot analysis): 30 normal people and 30 patients with at least one epicardial coronary artery disease confirmed by angiography will be included. 10 ml peripheral blood from arterial sheath (just before angiography) will be collected in each subject. Proteomics analyses are performed in order to obtain the differentially expressed proteins (coded by Proteins 1-x. 2. Part 2 (Training group): Differentially expressed Proteins 1-x are measured and compared between patients with diameter stenosis \<70% (n=100) vs. with diameter stenosis ≥ 70%(n=100), respectively. Finally, Proteins 1-y from Proteins 1-x will be identified. Subgroups stratified by single-, double-, and triple-vessel disease will be performed. 3. Part 3 (Validation group): The difference in blood concentration of Proteins 1-y between patients with different disease burden will be further analyzed: patients with diameter stenosis \<70% (n=200) vs. diameter stenosis ≥70% (n=200), respectively. Subgroups stratified by single-, double-, and triple-vessel disease will be performed.

Conditions

Interventions