title: Analysis of Serum Metabolites to Diagnose Bicuspid Aortic Valve.
abstract: Bicuspid aortic valve (BAV) is the most common congenital heart disease. The current study aims to construct a diagnostic model based on metabolic profiling as a non-invasive tool for BAV screening. Blood serum samples were prepared from an estimation group and a validation group, each consisting of 30 BAV patients and 20 healthy individuals, and analyzed by liquid chromatography-mass spectrometry (LC-MS). In total, 2213 metabolites were detected and 41 were considered different. A model for predicting BAV in the estimation group was constructed using the concentration levels of monoglyceride (MG) (18:2) and glycerophospho-N-oleoyl ethanolamine (GNOE). A novel model named Zhongshan (ZS) was developed to amplify the association between BAV and the two metabolites. The area under curve (AUC) of ZS for BAV prediction was 0.900 (0.782-0.967) and was superior to all single-metabolite models when applied to the estimation group. Using optimized cutoff (-0.1634), ZS model had a sensitivity score of 76.7%, specificity score of 90.0%, positive predictive value of 80% and negative predictive value of 85.0% for the validation group. These results support the use of serum-based metabolomics profiling method as a complementary tool for BAV screening in large populations.
authors.affiliation: Department of Cardiac Surgery, Zhongshan Hospital, Fudan University. 200032, Shanghai, China.
authors.forename: Wenshuo
authors.initials: W
authors.lastname: Wang
authors.affiliation: Department of Cardiac Surgery, Zhongshan Hospital, Fudan University. 200032, Shanghai, China.
authors.forename: Aikebaier
authors.initials: A
authors.lastname: Maimaiti
authors.affiliation: Department of Cardiac Surgery, Zhongshan Hospital, Fudan University. 200032, Shanghai, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 200031, Shanghai, China.
authors.forename: Lingfei
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Radiology, Huashan Hospital, Fudan University. 200040, Shanghai, China.
authors.forename: Hongyue
authors.initials: H
authors.lastname: Tao
authors.affiliation: Department of Cardiac Surgery, Zhongshan Hospital, Fudan University. 200032, Shanghai, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Nian
authors.affiliation: Department of Cardiac Surgery, Zhongshan Hospital, Fudan University. 200032, Shanghai, China.
authors.forename: Limin
authors.initials: L
authors.lastname: Xia
authors.affiliation: Department of Chemistry, Laboratory of Advanced Materials, Fudan University, 200433, Shanghai, China.
authors.forename: Biao
authors.initials: B
authors.lastname: Kong
authors.affiliation: Department of Cardiac Surgery, Zhongshan Hospital, Fudan University. 200032, Shanghai, China.
authors.forename: Chunsheng
authors.initials: C
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 200031, Shanghai, China.
authors.forename: Mofang
authors.initials: M
authors.lastname: Liu
authors.affiliation: Department of Cardiac Surgery, Zhongshan Hospital, Fudan University. 200032, Shanghai, China.
authors.forename: Lai
authors.initials: L
authors.lastname: Wei
mesh_terms: D000328:Adult; D000368:Aged; D001021:Aortic Valve / Q000002:abnormalities*; D000082882:Bicuspid Aortic Valve Disease; D015415:Biomarkers / Q000097:blood; D002853:Chromatography, Liquid; D005260:Female; D006349:Heart Valve Diseases / Q000097:blood* / Q000175:diagnosis*; D006801:Humans; D008297:Male; D013058:Mass Spectrometry; D008875:Middle Aged; D008955:Models, Cardiovascular; D050178:Monoglycerides / Q000097:blood*
chemical_list: D015415:Biomarkers; D050178:Monoglycerides