Literature DB >> 19576453

Metabonomics study of atherosclerosis rats by ultra fast liquid chromatography coupled with ion trap-time of flight mass spectrometry.

Fengxia Zhang1, Zhenhua Jia, Peng Gao, Hongwei Kong, Xiang Li, Jing Chen, Qin Yang, Peiyuan Yin, Jiangshan Wang, Xin Lu, Famei Li, Yiling Wu, Guowang Xu.   

Abstract

An ultra fast liquid chromatography coupled with IT-TOF mass spectrometry (UFLC/MS-IT-TOF) metabonomic approach was employed to study the plasma and urine metabolic profiling of atherosclerosis rats. Acquired data were subjected to principal component analysis (PCA) for differentiating the atherosclerosis and the control groups. Potential biomarkers were screened by using S-plot and were identified by the accurate mass and MS(n) fragments information obtained from UFLC/MS-IT-TOF analysis. 12 metabolites in rat plasma and 8 metabolites in urine were identified as potential biomarkers. Concentrations of leucine, phenylalanine, tryptophan, acetylcarnitine, butyrylcarnitine, propionylcarnitine and spermine in plasma and 3-O-methyl-dopa, ethyl N2-acetyl-L-argininate, leucylproline, glucuronate, t6A N(6)-(N-threonylcarbonyl)-adenosine and methyl-hippuric acid in urine decreased in atherosclerosis rats. Ursodeoxycholic acid, chenodeoxycholic acid, LPC (C16:0), LPC (C18:0) and LPC (C18:1) in plasma and hippuric acid in urine were in higher levels in atherosclerosis rats. The alterated metabolites demonstrated abnormal metabolism of phenylalanine, tryptophan, bile acids and amino acids. This research proved that metabonomics is a promising tool for disease research.

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Year:  2009        PMID: 19576453     DOI: 10.1016/j.talanta.2009.05.010

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  18 in total

1.  Metabonomic Study of Biochemical Changes in Human Hair of Heroin Abusers by Liquid Chromatography Coupled with Ion Trap-Time of Flight Mass Spectrometry.

Authors:  Pu Xie; Tie-jie Wang; Guo Yin; Yan Yan; Li-he Xiao; Qing Li; Kai-shun Bi
Journal:  J Mol Neurosci       Date:  2015-10-07       Impact factor: 3.444

2.  A HPLC-Q-TOF-MS-based urinary metabolomic approach to identification of potential biomarkers of metabolic syndrome.

Authors:  Zhi-Rui Yu; Yu Ning; Hao Yu; Nai-Jun Tang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2014-04-08

3.  Identification of Metabolomics Biomarkers in Extracranial Carotid Artery Stenosis.

Authors:  Chia-Ni Lin; Kai-Cheng Hsu; Kuo-Lun Huang; Wen-Cheng Huang; Yi-Lun Hung; Tsong-Hai Lee
Journal:  Cells       Date:  2022-09-27       Impact factor: 7.666

4.  Lipidomics: a tool for studies of atherosclerosis.

Authors:  Kim Ekroos; Minna Jänis; Kirill Tarasov; Reini Hurme; Reijo Laaksonen
Journal:  Curr Atheroscler Rep       Date:  2010-07       Impact factor: 5.113

5.  Plasma microbiome-modulated indole- and phenyl-derived metabolites associate with advanced atherosclerosis and postoperative outcomes.

Authors:  Cori A Cason; Kyle T Dolan; Gaurav Sharma; Ming Tao; Rohan Kulkarni; Irene B Helenowski; Brendan M Doane; Michael J Avram; Mary M McDermott; Eugene B Chang; C Keith Ozaki; Karen J Ho
Journal:  J Vasc Surg       Date:  2017-12-13       Impact factor: 4.268

6.  Concurrent quantification of tryptophan and its major metabolites.

Authors:  Wojciech G Lesniak; Amar Jyoti; Manoj K Mishra; Nicolette Louissaint; Roberto Romero; Diane C Chugani; Sujatha Kannan; Rangaramanujam M Kannan
Journal:  Anal Biochem       Date:  2013-09-11       Impact factor: 3.365

Review 7.  Metabolomic profiling for identification of novel potential biomarkers in cardiovascular diseases.

Authors:  Maria G Barderas; Carlos M Laborde; Maria Posada; Fernando de la Cuesta; Irene Zubiri; Fernando Vivanco; Gloria Alvarez-Llamas
Journal:  J Biomed Biotechnol       Date:  2011-01-02

8.  Metabolomics with LC-QTOF-MS permits the prediction of disease stage in aortic abdominal aneurysm based on plasma metabolic fingerprint.

Authors:  Michal Ciborowski; Joanna Teul; Jose Luis Martin-Ventura; Jesús Egido; Coral Barbas
Journal:  PLoS One       Date:  2012-02-24       Impact factor: 3.240

9.  Metabonomics-based omics study and atherosclerosis.

Authors:  Duo-Jiao Wu; Bi-Jun Zhu; Xiang-Dong Wang
Journal:  J Clin Bioinforma       Date:  2011-10-31

10.  A (1)H NMR-Based Metabonomic Investigation of Time-Related Metabolic Trajectories of the Plasma, Urine and Liver Extracts of Hyperlipidemic Hamsters.

Authors:  Chun-Ying Jiang; Kang-Min Yang; Liu Yang; Zhao-Xia Miao; Ying-Hong Wang; Hai-Bo Zhu
Journal:  PLoS One       Date:  2013-06-26       Impact factor: 3.240

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