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02 February 2017 : Clinical Research  

A Non-Targeted Liquid Chromatographic-Mass Spectrometric Metabolomics Approach for Association with Coronary Artery Disease: An Identification of Biomarkers for Depiction of Underlying Biological Mechanisms

Xian-Zhao Zhang1DEF, Su-Xia Zheng2BC, Ya-Min Hou2AG*

DOI: 10.12659/MSM.896298

Med Sci Monit 2017; 23:613-622

Abstract

BACKGROUND: We performed non-targeted metabolomics analysis using liquid chromatography-mass spectrometry coupled technique to explore the biological mechanism of coronary artery disease (CAD) events for improved prediction.

MATERIAL AND METHODS: We studied the association of CAD events in 4092 individuals and observed the replication of sphingomyelin (28:1), lysophosphatidylcholine (18:2), lysophosphatidylcholine (18:1), and monoglyceride (18:2), which were independent of main CAD risk factors.

RESULTS: We found that these 4 metabolites were responsible for traditional risk factors and also contributed to the modifications related to reclassification and discrimination. Monoglycerides (MonoGs) were positively associated with C-reactive proteins and body mass index, while lysophosphatidylcholines (LPPCs), which had less evidence of subclinical CAD in an additional 1010 participants, yielded a reverse pattern. An association between monoGs and CAD independence of triglycerides (triGs) were also observed. On the basis of Mendelian randomization analysis, we observed a positive but weak irregular effect (odds ratio per unit increase in standard deviation in monoG=1.11, P-value=0.05) on CAD.

CONCLUSIONS: Our work establishes the relationship of metabolome with coronary artery disease and explains the biological mechanism of CAD events, as we identified the above-mentioned metabolites along with the evidence supporting their clinical use.

Keywords: C-Reactive Protein - metabolism, Biomarkers - blood, Chromatography, Liquid - methods, Coronary Artery Disease - blood, Lysophosphatidylcholines - blood

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750