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. 2017 Feb 2:23:613-622.
doi: 10.12659/msm.896298.

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

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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 Zhang et al. Med Sci Monit. .

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.

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Figures

Figure 1
Figure 1
(A) Splines modeled representation of association of LPPC (18:2) with CAD in terms of hazard ratio (HR) per unit increment in standard deviation with respect to function of age. (B) Representation of survival of a 75-year-old man who was a smoker but non-diabetic. His body mass index was 26 and he had 148-unit systolic blood pressure. Curves are tertiles of each of the 4 metabolites with respect to time vs. CAD.

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