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

Metabonomics study of atherosclerosis rats by ultra fast liquid chromatography coupled with ion trap-time of flight mass spectrometry
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超快液相色谱-离子阱飞行时间质谱联用对动脉粥样硬化大鼠的代谢组学研究

DOI:
10.1016/j.talanta.2009.05.010
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发表时间:
2009-08-15
期刊:
影响因子:
6.1
通讯作者:
Xu, Guowang
Xu, Guowang
中科院分区:
化学1区
文献类型:
--
作者:
Zhang, Fengxia;Jia, Zhenhua;Xu, Guowang

文献摘要

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采用超快速液相色谱-飞行时间质谱联用技术(UFLC/MS-IT-TOF)研究动脉粥样硬化大鼠血浆和尿液代谢谱。采集的数据进行主成分分析(PCA)区分动脉粥样硬化和对照组。通过使用S图筛选潜在的生物标志物,并通过UFLC/MS-IT-TOF分析获得的准确质量和MSn片段信息来鉴定。大鼠血浆中的12种代谢物和尿液中的8种代谢物被鉴定为潜在的生物标志物。动脉粥样硬化大鼠血浆中亮氨酸、苯丙氨酸、色氨酸、乙酰肉毒碱、丁酰肉毒碱、丙酰肉毒碱和精胺浓度降低,尿中3-O-甲基-多巴、N-乙酰-L-精氨酸乙酯、亮氨酰脯氨酸、葡萄糖醛酸、t6 AN(6)-(N-苏氨酰羰基)-腺苷和甲基马尿酸浓度降低。动脉粥样硬化大鼠血浆中熊去氧胆酸、鹅去氧胆酸、LPC(06:0)、LPC(C18:0)和LPC(C18:1)及尿中马尿酸水平升高。改变的代谢产物显示苯丙氨酸、色氨酸、胆汁酸和氨基酸的代谢异常。本研究证明代谢组学是一种很有前途的疾病研究工具。(C)2009爱思唯尔有限公司版权所有。
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 MSn 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 (06:0), 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. (C) 2009 Elsevier B.V. All rights reserved.