CBS 2019
CBSMD教育中心
中 文

科学研究

Abstract

Recommended Article

Valve‐in‐Valve for Degenerated Transcatheter Aortic Valve Replacement Versus Valve‐in‐Valve for Degenerated Surgical Aortic Bioprostheses: A 3‐Center Comparison of Hemodynamic and 1‐Year Outcome Clinical Outcome After DK Crush Versus Culotte Stenting of Distal Left Main Bifurcation Lesions: The 3-Year Follow-Up Results of the DKCRUSH-III Study Coronary calcium as a predictor of coronary events in four racial or ethnic groups Thrombotic Versus Bleeding Risk After Transcatheter Aortic Valve Replacement: JACC Review Topic of the Week Long-term results after PCI of unprotected distal left main coronary artery stenosis: the Bifurcations Bad Krozingen (BBK)-Left Main Registry Impact of myocardial fibrosis on left ventricular remodelling, recovery, and outcome after transcatheter aortic valve implantation in different haemodynamic subtypes of severe aortic stenosis Comparison of 1-Year Pre- And Post-Transcatheter Aortic Valve Replacement Hospitalization Rates: A Population-Based Cohort Study Association Between Depressive Symptoms and Incident Cardiovascular Diseases

Original ResearchVolume 72, Issue 3, July 2018

JOURNAL:J Am Coll Cardiol. Article Link

Blood CSF1 and CXCL12 as Causal Mediators of Coronary Artery Disease

J Sjaarda, H Gerstein, M Chong et al. Keywords: biomarker; coronary artery disease; CSF1; CXCL12; genetics; Mendelian randomization;

ABSTRACT


BACKGROUND - Identification of biomarkers that cause coronary artery disease (CAD) has led to important advances in prevention and treatment. Epidemiological analyses have identified many biomarker-CAD relationships; however, these associations may arise from reverse causation and/or confounding and therefore may not represent true causal associations. Mendelian randomization (MR) analyses overcome these limitations.


OBJECTIVES - This study sought to identify causal mediators of CAD through a comprehensive screen of 237 biomarkers using MR.

METHODS - MR was performed by identifying genetic determinants of 227 biomarkers in ORIGIN (Outcome Reduction With Initial Glargine Intervention) trial participants (N = 4,147) and combining these with genetic effects on CAD from the CARDIoGRAM consortium (60,801 cases and 123,504 controls). Blood concentrations of novel biomarkers identified by MR were then tested for association with incident major adverse cardiovascular events in ORIGIN.

RESULTS - Six biomarkers were found to be causally linked to CAD after adjustment for multiple hypothesis testing. The causal role of 4 of these is well documented, whereas macrophage colony-stimulating factor 1 (CSF1) and stromal cell–derived factor 1 (CXCL12) have not previously been reported, to the best of our knowledge. MR analysis predicted an 18% higher risk of CAD per SD increase in CSF1 (odds ratio: 1.18; 95% confidence interval: 1.08 to 1.30; p = 2.1 × 10−4) and epidemiological analysis identified a 16% higher risk of major adverse cardiovascular events per SD (hazard ratio: 1.16; 95% confidence interval: 1.09 to 1.23; p < 0.001). Elevated CXCL12 levels were also identified as a causal risk factor for CAD with consistent epidemiological results. Furthermore, genetically predicted CSF1 and CXCL12 levels were associated with CAD in the UK Biobank (n = 343,735).

CONCLUSIONS - The study identified CSF1 and CXCL12 as causal mediators of CAD in humans. Understanding the mechanism by which these markers mediate CAD will provide novel insights into CAD and could lead to new approaches to prevention. These results support targeting inflammatory processes and macrophages, in particular, to prevent CAD, consistent with the recent CANTOS (Canakinumab Antiinflammatory Thrombosis Outcome Study). (Outcome Reduction With Initial Glargine Intervention [ORIGIN]; NCT00069784)