详细信息
Metabolomic profiling of rat serum associated with isoproterenol-induced myocardial infarction using ultra-performance liquid chromatography/time-of-flight mass spectrometry and multivariate analysis ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Metabolomic profiling of rat serum associated with isoproterenol-induced myocardial infarction using ultra-performance liquid chromatography/time-of-flight mass spectrometry and multivariate analysis
作者:Zhang, Hong-yang[1,2];Chen, Xi[2];Hu, Ping[1];Liang, Qiong-lin[2];Liang, Xiao-ping[1,2];Wang, Yi-ming[2];Luo, Guo-an[1,2]
机构:[1]E China Univ Sci & Technol, Sch Chem & Mol Engn, Shanghai 200237, Peoples R China;[2]Tsinghua Univ, Key Lab Biorgan Phosphorus Chem & Chem Biol, Dept Chem, Beijing 100084, Peoples R China
年份:2009
卷号:79
期号:2
起止页码:254
外文期刊名:TALANTA
收录:;EI(收录号:20092612154052);WOS:【SCI-EXPANDED(收录号:WOS:000268216900023)】;
基金:This study was financially supported by the National Key Technology R&D Program (No. 2006BAI081304-01) and the National Natural Science Foundations of China (No. 20805026). We appreciate Waters Corp. for technical support in UPLC/TOF-MS.
语种:英文
外文关键词:Metabolomics; Ultra-performance liquid chromatography/time-of-flight mass; spectrometry (UPLC/TOF-MS); Multivariate analysis; Myocardial infarction; Lipid biomarkers
摘要:An ultra-performance liquid chromatography/time-of-flight mass spectrometry (UPLC/TOF-MS)-based metabolomic approach was developed to characterize the metabolic profile associated with isoproterenol (ISO)-induced myocardial infarction (MI). Analysis of the serum samples revealed distinct changes in the biochemical patterns of ISO-induced rats. A multivariate statistical method, supervised partial least squares-discriminant analysis (PLS-DA), was then used for screening of potential biomarkers. As a result, 13 lipid biomarkers, including lysophosphatidylcholines (Lyso-PCs) and fatty acids were identified by the accurate mass measurement of TOF-MS. The relationship between abnormal lipid metabolism and the formation of MI were also studied. This work demonstrates the utility of UPLC/TOF-MS-based metabolic profiling combined with multivariate analysis as a powerful tool to further investigate the pathogenesis of cardiovascular diseases. (C) 2009 Elsevier B.V. All rights reserved.
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