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

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 numeri...

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Published in	Metabolomics Vol. 11; no. 1; pp. 9 - 26
Main Authors	Dunn, Warwick B., Lin, Wanchang, Broadhurst, David, Begley, Paul, Brown, Marie, Zelena, Eva, Vaughan, Andrew A., Halsall, Antony, Harding, Nadine, Knowles, Joshua D., Francis-McIntyre, Sue, Tseng, Andy, Ellis, David I., O’Hagan, Steve, Aarons, Gill, Benjamin, Boben, Chew-Graham, Stephen, Moseley, Carly, Potter, Paula, Winder, Catherine L., Potts, Catherine, Thornton, Paula, McWhirter, Catriona, Zubair, Mohammed, Pan, Martin, Burns, Alistair, Cruickshank, J. Kennedy, Jayson, Gordon C., Purandare, Nitin, Wu, Frederick C. W., Finn, Joe D., Haselden, John N., Nicholls, Andrew W., Wilson, Ian D., Goodacre, Royston, Kell, Douglas B.
Format	Journal Article
Language	English
Published	Boston Springer US 01.02.2015 Springer Nature B.V
Subjects	Biochemistry Biomedical and Life Sciences Biomedicine Cell Biology Developmental Biology Life Sciences Molecular Medicine Original Original Article Human serum UK population Metabolic phenotyping Clinical biochemistry Mass spectrometry
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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/ ).
AbstractList	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/ ). 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/). 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/).
Author	Jayson, Gordon C. Begley, Paul Francis-McIntyre, Sue Wilson, Ian D. Broadhurst, David Moseley, Carly Nicholls, Andrew W. Harding, Nadine Halsall, Antony Kell, Douglas B. Knowles, Joshua D. Potter, Paula Dunn, Warwick B. Potts, Catherine Tseng, Andy Purandare, Nitin Zelena, Eva McWhirter, Catriona Finn, Joe D. Lin, Wanchang Chew-Graham, Stephen Winder, Catherine L. Burns, Alistair Haselden, John N. Thornton, Paula Benjamin, Boben Ellis, David I. Pan, Martin Goodacre, Royston O’Hagan, Steve Aarons, Gill Brown, Marie Vaughan, Andrew A. Wu, Frederick C. W. Cruickshank, J. Kennedy Zubair, Mohammed
Author_xml	– sequence: 1 givenname: Warwick B. surname: Dunn fullname: Dunn, Warwick B. email: w.dunn@bham.ac.uk organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Engineering & Physical Sciences, Manchester Centre for Integrative Systems Biology, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Medical and Human Sciences, Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester, Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, School of Biosciences, University of Birmingham – sequence: 2 givenname: Wanchang surname: Lin fullname: Lin, Wanchang organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Medical and Human Sciences, Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester, Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre – sequence: 3 givenname: David surname: Broadhurst fullname: Broadhurst, David organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Department of Medicine, Katz Group Centre for Pharmacy & Health, University of Alberta – sequence: 4 givenname: Paul surname: Begley fullname: Begley, Paul organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Medical and Human Sciences, Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester, Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre – sequence: 5 givenname: Marie surname: Brown fullname: Brown, Marie organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Medical and Human Sciences, Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester, Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre – sequence: 6 givenname: Eva surname: Zelena fullname: Zelena, Eva organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 7 givenname: Andrew A. surname: Vaughan fullname: Vaughan, Andrew A. organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 8 givenname: Antony surname: Halsall fullname: Halsall, Antony organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 9 givenname: Nadine surname: Harding fullname: Harding, Nadine organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 10 givenname: Joshua D. surname: Knowles fullname: Knowles, Joshua D. organization: Faculty of Engineering & Physical Sciences, School of Computer Science, The University of Manchester – sequence: 11 givenname: Sue surname: Francis-McIntyre fullname: Francis-McIntyre, Sue organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 12 givenname: Andy surname: Tseng fullname: Tseng, Andy organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 13 givenname: David I. surname: Ellis fullname: Ellis, David I. organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 14 givenname: Steve surname: O’Hagan fullname: O’Hagan, Steve organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester – sequence: 15 givenname: Gill surname: Aarons fullname: Aarons, Gill organization: Faculty of Medical & Human Sciences, Institute of Inflammation and Repair, Salford Royal Dermatopharmacology, The University of Manchester – sequence: 16 givenname: Boben surname: Benjamin fullname: Benjamin, Boben organization: Clinical & Cognitive Neurosciences, Faculty of Medical & Human Sciences, Institute of Brain, Behaviour & Mental Health, The University of Manchester – sequence: 17 givenname: Stephen surname: Chew-Graham fullname: Chew-Graham, Stephen organization: Clinical & Cognitive Neurosciences, Faculty of Medical & Human Sciences, Institute of Brain, Behaviour & Mental Health, The University of Manchester – sequence: 18 givenname: Carly surname: Moseley fullname: Moseley, Carly organization: Faculty of Medical and Human Sciences, Institute of Cancer Sciences, Christie Hospital, The University of Manchester – sequence: 19 givenname: Paula surname: Potter fullname: Potter, Paula organization: Faculty of Medical and Human Sciences, Institute of Cancer Sciences, Christie Hospital, The University of Manchester – sequence: 20 givenname: Catherine L. surname: Winder fullname: Winder, Catherine L. organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Engineering & Physical Sciences, Manchester Centre for Integrative Systems Biology, Manchester Institute of Biotechnology, The University of Manchester – sequence: 21 givenname: Catherine surname: Potts fullname: Potts, Catherine organization: Faculty of Medical & Human Sciences, Institute of Human Development, The University of Manchester – sequence: 22 givenname: Paula surname: Thornton fullname: Thornton, Paula organization: Faculty of Medical and Human Sciences, Institute of Cancer Sciences, Christie Hospital, The University of Manchester – sequence: 23 givenname: Catriona surname: McWhirter fullname: McWhirter, Catriona organization: Faculty of Medical & Human Sciences, Institute of Human Development, The University of Manchester – sequence: 24 givenname: Mohammed surname: Zubair fullname: Zubair, Mohammed organization: Clinical & Cognitive Neurosciences, Faculty of Medical & Human Sciences, 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Kennedy surname: Cruickshank fullname: Cruickshank, J. Kennedy organization: Faculty of Medical & Human Sciences, Institute of Cardiovascular Sciences, The University of Manchester, St Thomas’ Hospital, King’s College, University of London & King’s Health Partners – sequence: 28 givenname: Gordon C. surname: Jayson fullname: Jayson, Gordon C. organization: Faculty of Medical and Human Sciences, Institute of Cancer Sciences, Christie Hospital, The University of Manchester – sequence: 29 givenname: Nitin surname: Purandare fullname: Purandare, Nitin organization: Faculty of Medical & Human Sciences, Institute of Cardiovascular Sciences, The University of Manchester – sequence: 30 givenname: Frederick C. W. surname: Wu fullname: Wu, Frederick C. W. organization: Faculty of Medical & Human Sciences, Institute of Human Development, The University of Manchester – sequence: 31 givenname: Joe D. surname: Finn fullname: Finn, Joe D. organization: Faculty of Medical & Human Sciences, Institute of Human Development, The University of Manchester – sequence: 32 givenname: John N. surname: Haselden fullname: Haselden, John N. organization: Investigative Preclinical Toxicology, GlaxoSmithKline, David Jack Centre for Research and Development – sequence: 33 givenname: Andrew W. surname: Nicholls fullname: Nicholls, Andrew W. organization: Investigative Preclinical Toxicology, GlaxoSmithKline, David Jack Centre for Research and Development – sequence: 34 givenname: Ian D. surname: Wilson fullname: Wilson, Ian D. organization: Faculty of Medicine, Department of Surgery & Cancer, Sir Alexander Fleming Building, Imperial College London, DMPK Innovative Medicines, AstraZeneca – sequence: 35 givenname: Royston surname: Goodacre fullname: Goodacre, Royston email: roy.goodacre@manchester.ac.uk organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Engineering & Physical Sciences, Manchester Centre for Integrative Systems Biology, Manchester Institute of Biotechnology, The University of Manchester – sequence: 36 givenname: Douglas B. surname: Kell fullname: Kell, Douglas B. email: dbk@manchester.ac.uk organization: Faculty of Engineering and Physical Sciences, School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Faculty of Engineering & Physical Sciences, Manchester Centre for Integrative Systems Biology, Manchester Institute of Biotechnology, The University of Manchester
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/25598764$$D View this record in MEDLINE/PubMed
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ContentType	Journal Article
Copyright	The Author(s) 2014 Springer Science+Business Media New York 2015
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DOI	10.1007/s11306-014-0707-1
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Keywords	Human serum UK population Metabolic phenotyping Clinical biochemistry Mass spectrometry
Language	English
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Snippet	Phenotyping of 1,200 ‘healthy’ adults from the UK has been performed through the investigation of diverse classes of hydrophilic and lipophilic metabolites... Phenotyping of 1,200 'healthy' adults from the UK has been performed through the investigation of diverse classes of hydrophilic and lipophilic metabolites...
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Title	Molecular phenotyping of a UK population: defining the human serum metabolome
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