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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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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289517/
https://www.ncbi.nlm.nih.gov/pubmed/25598764
http://dx.doi.org/10.1007/s11306-014-0707-1
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author 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.
author_facet 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.
author_sort Dunn, Warwick B.
collection PubMed
description 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/). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-014-0707-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-42895172015-01-15 Molecular phenotyping of a UK population: defining the human serum metabolome 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. Metabolomics Original Article 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/). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-014-0707-1) contains supplementary material, which is available to authorized users. Springer US 2014-07-25 2015 /pmc/articles/PMC4289517/ /pubmed/25598764 http://dx.doi.org/10.1007/s11306-014-0707-1 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
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.
Molecular phenotyping of a UK population: defining the human serum metabolome
title Molecular phenotyping of a UK population: defining the human serum metabolome
title_full Molecular phenotyping of a UK population: defining the human serum metabolome
title_fullStr Molecular phenotyping of a UK population: defining the human serum metabolome
title_full_unstemmed Molecular phenotyping of a UK population: defining the human serum metabolome
title_short Molecular phenotyping of a UK population: defining the human serum metabolome
title_sort molecular phenotyping of a uk population: defining the human serum metabolome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289517/
https://www.ncbi.nlm.nih.gov/pubmed/25598764
http://dx.doi.org/10.1007/s11306-014-0707-1
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