Correlation of Biomarkers With the Presence and Severity of Coronary Artery Disease
Condition: Coronary Artery Disease
MeSH terms: Coronary Artery Disease; Myocardial Ischemia; Coronary Disease
Study type: Observational

Summary: 
      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.
    

Detailed description: 
      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.
    

Intervention name(s): Medications or percutaneous coronary intervention
Intervention type(s): Diagnostic Test
Intervention description(s): In this study, we will for the first analyze the correlation of proteins concentration with coronary artery disease burden. Next, the prediction of proteins for one-year clinical events will be further analyzed
Other intervention name(s): Percutaneous coronary intervention
Observational model: Case-Control
Time perspective: Retrospective
Sampling method: Probability Sample
Study population: 
        In geneal, the traditional risk factors for coronary artery disease (including age, sex,
        hypertension, diabetes, dyslipidemia, peripheral artery disease, smoker, fat, etc.) will be
        comparble between three groups (case-control).
      
Biospecimen description: 
      Peripheral blood will be collected from all patients after informal consent is obtained
    
Keywords: Biomarkers, Coronary artery disease, Disease burden, Clinical events