{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6"],"submitter":["Wang W"],"pubmed_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)"],"journal":["Scientific reports"],"pagination":["37023"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5109472"],"repository":["biostudies-literature"],"pubmed_title":["Analysis of Serum Metabolites to Diagnose Bicuspid Aortic Valve."],"pmcid":["PMC5109472"],"pubmed_authors":["Kong B","Xia L","Liu M","Wang C","Tao H","Wang W","Zhang L","Maimaiti A","Zhao Y","Wei L","Nian H"],"additional_accession":[]},"is_claimable":false,"name":"Analysis of Serum Metabolites to Diagnose Bicuspid Aortic Valve.","description":"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)","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Nov","modification":"2026-04-30T01:30:15.927Z","creation":"2019-03-27T02:28:59Z"},"accession":"S-EPMC5109472","cross_references":{"pubmed":["27845433"],"doi":["10.1038/srep37023"]}}