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      Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research

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          Abstract

          Mass spectrometry (MS) techniques, because of their sensitivity and selectivity, have become methods of choice to characterize the human metabolome and MS-based metabolomics is increasingly used to characterize the complex metabolic effects of nutrients or foods. However progress is still hampered by many unsolved problems and most notably the lack of well established and standardized methods or procedures, and the difficulties still met in the identification of the metabolites influenced by a given nutritional intervention. The purpose of this paper is to review the main obstacles limiting progress and to make recommendations to overcome them. Propositions are made to improve the mode of collection and preparation of biological samples, the coverage and quality of mass spectrometry analyses, the extraction and exploitation of the raw data, the identification of the metabolites and the biological interpretation of the results.

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          Most cited references138

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            METLIN: a metabolite mass spectral database.

            Endogenous metabolites have gained increasing interest over the past 5 years largely for their implications in diagnostic and pharmaceutical biomarker discovery. METLIN (http://metlin.scripps.edu), a freely accessible web-based data repository, has been developed to assist in a broad array of metabolite research and to facilitate metabolite identification through mass analysis. METLINincludes an annotated list of known metabolite structural information that is easily cross-correlated with its catalogue of high-resolution Fourier transform mass spectrometry (FTMS) spectra, tandem mass spectrometry (MS/MS) spectra, and LC/MS data.
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              Is Open Access

              BioMagResBank

              The BioMagResBank (BMRB: www.bmrb.wisc.edu) is a repository for experimental and derived data gathered from nuclear magnetic resonance (NMR) spectroscopic studies of biological molecules. BMRB is a partner in the Worldwide Protein Data Bank (wwPDB). The BMRB archive consists of four main data depositories: (i) quantitative NMR spectral parameters for proteins, peptides, nucleic acids, carbohydrates and ligands or cofactors (assigned chemical shifts, coupling constants and peak lists) and derived data (relaxation parameters, residual dipolar couplings, hydrogen exchange rates, pKa values, etc.), (ii) databases for NMR restraints processed from original author depositions available from the Protein Data Bank, (iii) time-domain (raw) spectral data from NMR experiments used to assign spectral resonances and determine the structures of biological macromolecules and (iv) a database of one- and two-dimensional 1H and 13C one- and two-dimensional NMR spectra for over 250 metabolites. The BMRB website provides free access to all of these data. BMRB has tools for querying the archive and retrieving information and an ftp site (ftp.bmrb.wisc.edu) where data in the archive can be downloaded in bulk. Two BMRB mirror sites exist: one at the PDBj, Protein Research Institute, Osaka University, Osaka, Japan (bmrb.protein.osaka-u.ac.jp) and the other at CERM, University of Florence, Florence, Italy (bmrb.postgenomicnmr.net/). The site at Osaka also accepts and processes data depositions.

                Author and article information

                Contributors
                +33-4-73624787 , +33-4-73624638 , scalbert@clermont.inra.fr
                Journal
                Metabolomics
                Metabolomics
                Springer US (Boston )
                1573-3882
                1573-3890
                12 June 2009
                December 2009
                : 5
                : 4
                : 435-458
                Affiliations
                [1 ]INRA, UMR 1019, Unité de Nutrition Humaine, Centre de Recherche de Clermont-Ferrand/Theix, 63122 Saint-Genes-Champanelle, France
                [2 ]UCD School of Agriculture Food Science and Veterinary Medicine, UCD Conway Institute, University College Dublin, Dublin, Ireland
                [3 ]Genome Center, University of California, Davis, Davis, CA 95616 USA
                [4 ]Analytical Biosciences, Leiden/Amsterdam Center for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
                [5 ]Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115 USA
                [6 ]Department of Surgery, Harvard Medical School, Boston, MA 02115 USA
                [7 ]TNO Quality of Life, PO Box 360, 3700 AJ Zeist, The Netherlands
                [8 ]Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada
                Article
                168
                10.1007/s11306-009-0168-0
                2794347
                20046865
                08b3d658-f1a7-4602-9b66-4653cb332536
                © The Author(s) 2009
                History
                : 9 January 2009
                : 26 May 2009
                Categories
                Review Article
                Custom metadata
                © Springer Science+Business Media, LLC 2009

                Molecular biology
                method development,mass spectrometry,metabolomics,nutrition
                Molecular biology
                method development, mass spectrometry, metabolomics, nutrition

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