Molecular phenotyping of a UK population: defining the human serum metabolome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-02

AUTHORS

Warwick B. Dunn, Wanchang Lin, David Broadhurst, Paul Begley, Marie Brown, Eva Zelena, Andrew A. Vaughan, Antony Halsall, Nadine Harding, Joshua D. Knowles, Sue Francis-McIntyre, Andy Tseng, David I. Ellis, Steve O’Hagan, Gill Aarons, Boben Benjamin, Stephen Chew-Graham, Carly Moseley, Paula Potter, Catherine L. Winder, Catherine Potts, Paula Thornton, Catriona McWhirter, Mohammed Zubair, Martin Pan, Alistair Burns, J. Kennedy Cruickshank, Gordon C. Jayson, Nitin Purandare, Frederick C. W. Wu, Joe D. Finn, John N. Haselden, Andrew W. Nicholls, Ian D. Wilson, Royston Goodacre, Douglas B. Kell

ABSTRACT

Phenotyping of 1,200 'healthy' adults from the UK has been performed through the investigation of diverse classes of hydrophilic and lipophilic metabolites present in serum by applying a series of chromatography-mass spectrometry platforms. These data were made robust to instrumental drift by numerical correction; this was prerequisite to allow detection of subtle metabolic differences. The variation in observed metabolite relative concentrations between the 1,200 subjects ranged from less than 5 % to more than 200 %. Variations in metabolites could be related to differences in gender, age, BMI, blood pressure, and smoking. Investigations suggest that a sample size of 600 subjects is both necessary and sufficient for robust analysis of these data. Overall, this is a large scale and non-targeted chromatographic MS-based metabolomics study, using samples from over 1,000 individuals, to provide a comprehensive measurement of their serum metabolomes. This work provides an important baseline or reference dataset for understanding the 'normal' relative concentrations and variation in the human serum metabolome. These may be related to our increasing knowledge of the human metabolic network map. Information on the Husermet study is available at http://www.husermet.org/. Importantly, all of the data are made freely available at MetaboLights (http://www.ebi.ac.uk/metabolights/). More... »

PAGES

9-26

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11306-014-0707-1

    DOI

    http://dx.doi.org/10.1007/s11306-014-0707-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1024965129

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25598764


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    564 Faculty of Medical and Human Sciences, Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester, Manchester, UK
    565 School of Biosciences, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK
    566 rdf:type schema:Organization
     




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