Literature DB >> 14608626

Metabolite profiling in rat urine by liquid chromatography/electrospray ion trap mass spectrometry. Application to the study of heavy metal toxicity.

Alexandra Lafaye1, Christophe Junot, Béatrice Ramounet-Le Gall, Paul Fritsch, Jean-Claude Tabet, Eric Ezan.   

Abstract

This work reports the use of reverse-phase liquid chromatography coupled to electrospray ion trap (QIT) mass spectrometry for the analysis of the metabolome in rat urine. An injection of 20 microL of urine into the chromatographic system is followed by a slow gradient elution and mass spectrometric detection in the scanning mode from m/z 100-1000 in both positive and negative modes. Over a time scale of 90 min, 30 and 20 resolved peaks were observed in the positive and the negative modes, respectively, corresponding to the presence of a few hundred m/z ratios. By using a QIT analyzer, data-dependent tandem mass spectrometry of selected m/z ratios identified several compounds in rat urine and characterized various chemical families, including carboxylic acids, amines, sulfated compounds, glucuronides and glycosides, by the observation of characteristic fragment ions or neutral losses. The method has been applied to the investigation of the chronic toxicity of heavy metals in rat urine. A few tens of m/z ratios, differing in intensity more than threefold from control values, were observed in both positive and negative modes. The time variations for some selected ions suggest that LC/ESI-MS could allow selective characterization of biomarkers in response to specific toxic compounds. Copyright 2003 John Wiley & Sons, Ltd.

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Year:  2003        PMID: 14608626     DOI: 10.1002/rcm.1243

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  8 in total

1.  Metabolomic applications of electrochemistry/mass spectrometry.

Authors:  Paul H Gamache; David F Meyer; Michael C Granger; Ian N Acworth
Journal:  J Am Soc Mass Spectrom       Date:  2004-12       Impact factor: 3.109

Review 2.  Mass spectrometry-based metabolomics.

Authors:  Katja Dettmer; Pavel A Aronov; Bruce D Hammock
Journal:  Mass Spectrom Rev       Date:  2007 Jan-Feb       Impact factor: 10.946

3.  Does the mass spectrometer define the marker? A comparison of global metabolite profiling data generated simultaneously via UPLC-MS on two different mass spectrometers.

Authors:  Helen G Gika; Georgios A Theodoridis; Mark Earll; Rodney W Snyder; Susan J Sumner; Ian D Wilson
Journal:  Anal Chem       Date:  2010-10-01       Impact factor: 6.986

4.  Comparative metabolite profiling of carboxylic acids in rat urine by CE-ESI MS/MS through positively pre-charged and (2)H-coded derivatization.

Authors:  Wen-Chu Yang; Fred E Regnier; Jiri Adamec
Journal:  Electrophoresis       Date:  2008-11       Impact factor: 3.535

5.  Systems toxicology study of doxorubicin on rats using ultra performance liquid chromatography coupled with mass spectrometry based metabolomics.

Authors:  Jiangshan Wang; Theo Reijmers; Lijuan Chen; Rob Van Der Heijden; Mei Wang; Shuangqing Peng; Thomas Hankemeier; Guowang Xu; Jan Van Der Greef
Journal:  Metabolomics       Date:  2009-05-21       Impact factor: 4.290

6.  Assessing the performance of statistical validation tools for megavariate metabolomics data.

Authors:  Carina M Rubingh; Sabina Bijlsma; Eduard P P A Derks; Ivana Bobeldijk; Elwin R Verheij; Sunil Kochhar; Age K Smilde
Journal:  Metabolomics       Date:  2006-07-11       Impact factor: 4.290

7.  A metabonomic analysis of serum from rats treated with ricinine using ultra performance liquid chromatography coupled with mass spectrometry.

Authors:  Jing Peng; Shuang Cai; Lin Wang; Nan Zhao; Ting-jian Zhang; Zai-xing Chen; Fan-hao Meng
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

8.  A bifunctional sensor based on diarylethene for the colorimetric recognition of Cu2+ and fluorescence detection of Cd2.

Authors:  Shouyu Qiu; Mengmeng Lu; Shiqiang Cui; Zhen Wang; Shouzhi Pu
Journal:  RSC Adv       Date:  2019-09-17       Impact factor: 3.361

  8 in total

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