Literature DB >> 20024072

Methodological considerations in the development of HPLC-MS methods for the analysis of rodent plasma for metabonomic studies.

Lindsay Lai1, Filippos Michopoulos, Helen Gika, Georgios Theodoridis, Robert W Wilkinson, Rajesh Odedra, Julie Wingate, Ron Bonner, Stephen Tate, Ian D Wilson.   

Abstract

A study of the factors involved in obtaining valid global metabolite profiles from the HPLC-MS of rat or mouse plasma for the purposes of metabonomic analysis has been undertaken. Plasma proteins were precipitated with three volumes of either methanol or acetonitrile. Chromatographic separations were performed on a C18-bonded stationary phase using 3.5 and 5 mum particles packed into 2.1 and 4.6 mm i.d. formats, respectively, and on a C8 phase using 3.5 mum particles and a 2.1 mm i.d. column. Three reversed-phase gradient solvent systems, based on acidified water-acetonitrile, acidified water-methanol and acidified water-methanol-acetonitrile mixtures, were investigated. The column eluent was analysed with both positive and negative electrospray ionisation using a quadrupole-linear ion trap mass spectrometer. These studies revealed that while accurate classification of sample type can be made, there are a number of methodological problems associated with the analysis of plasma with respect to factors such as repeatability and column longevity. In particular, special care has to be taken to ensure that the analytical system is properly "conditioned" by the repeated injection of matrix samples. The use of biological quality control (QC) samples provided an important means of monitoring method performance. Finally, the source of the plasma (Zucker wild-type or (fa/fa) rat or mouse tumour model) also appeared to have an effect on the repeatability of the methodology.

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Year:  2009        PMID: 20024072     DOI: 10.1039/b910482h

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  5 in total

1.  Statistical methods for handling unwanted variation in metabolomics data.

Authors:  Alysha M De Livera; Marko Sysi-Aho; Laurent Jacob; Johann A Gagnon-Bartsch; Sandra Castillo; Julie A Simpson; Terence P Speed
Journal:  Anal Chem       Date:  2015-03-06       Impact factor: 6.986

Review 2.  A rough guide to metabolite identification using high resolution liquid chromatography mass spectrometry in metabolomic profiling in metazoans.

Authors:  David G Watson
Journal:  Comput Struct Biotechnol J       Date:  2013-02-15       Impact factor: 7.271

3.  Metabolomics data normalization with EigenMS.

Authors:  Yuliya V Karpievitch; Sonja B Nikolic; Richard Wilson; James E Sharman; Lindsay M Edwards
Journal:  PLoS One       Date:  2014-12-30       Impact factor: 3.240

4.  Sample Preparation Strategies for the Effective Quantitation of Hydrophilic Metabolites in Serum by Multi-Targeted HILIC-MS/MS.

Authors:  Elisavet Tsakelidou; Christina Virgiliou; Lemonia Valianou; Helen G Gika; Nikolaos Raikos; Georgios Theodoridis
Journal:  Metabolites       Date:  2017-03-30

5.  A batch correction method for liquid chromatography-mass spectrometry data that does not depend on quality control samples.

Authors:  Martin Rusilowicz; Michael Dickinson; Adrian Charlton; Simon O'Keefe; Julie Wilson
Journal:  Metabolomics       Date:  2016-02-18       Impact factor: 4.290

  5 in total

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