An LC-MS based untargeted metabolomics study identified novel biomarkers for coronary heart disease. Issue 11 (22nd September 2016)

• Record Type: Journal Article
• Authors: Li, Ruijun; Li, Fengyu; Feng, Qiang; Liu, Zhipeng; Jie, Zhuye; Wen, Bo; Xu, Xun; Zhong, Shilong; Li, Guanglei; He, Kunlun
• Is Part Of: Molecular bioSystems. Volume 12:Issue 11(2016:Nov.)
• Page Start: 3425
• Page End: 3434
• Publication Date: 2016-09-22
• Subjects: Molecular biology -- Periodicals; Biochemistry -- Periodicals; 571.7405
• DOI: 10.1039/c6mb00339g
• Languages: English
• ISSNs: 1742-206X

Abstract

Abstract : This work leads to candidate diagnosis biomarker discovery in coronary heart disease which can be developed as a non-invasive and feasible method for CHD diagnosis. Abstract : This study performed untargeted metabolomics for plasma samples from 40 coronary heart disease patients and 43 healthy controls by high-performance liquid chromatography coupled with mass spectrometry technology to find a set of effective biomarkers for CHD diagnosis and prognosis. The discriminating metabolites were extracted and analyzed by univariate and multivariate analysis methods. We found five metabolites (1-naphthol, 2-naphthol, methylitaconate, N -acetyl-d -glucosamine 6-phosphate andl -carnitine) contributing to the separation of CHD patients from healthy controls, and a subset of two metabolites in these five were identified as potential plasma biomarkers for CHD diagnosis. Major metabolic pathways associated with these potential biomarkers included nicotinate and nicotinamide metabolism, protein glycosylation, lipid metabolism and fatty acid metabolism. In addition, two potential biomarkers (GlcNAc-6-P andl -carnitine) were found be to be associated with intestinal microflora, indicating that intestinal microflora may be related to the metabolism and progression of CHD.