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

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

doi:10.1007/s11306-014-0707-1

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

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. WinderCatherine 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

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141 Citations (Scopus)

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/).

Original language	English
Pages (from-to)	9-26
Journal	Metabolomics
Volume	11
Issue number	1
DOIs	https://doi.org/10.1007/s11306-014-0707-1
Publication status	Published - 1 Feb 2015

Keywords

Human serum
Metabolic phenotyping
UK population
Mass spectrometry
Clinical biochemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Dunn, W. B., Lin, W., Broadhurst, D., Begley, P., Brown, M., Zelena, E., Vaughan, A. A., Halsall, A., Harding, N., Knowles, J. D., Francis-mcintyre, S., Tseng, A., Ellis, D. I., O’hagan, S., Aarons, G., Benjamin, B., Chew-graham, S., Moseley, C., Potter, P., ... Kell, D. B. (2015). Molecular phenotyping of a UK population: defining the human serum metabolome. Metabolomics, 11(1), 9-26. https://doi.org/10.1007/s11306-014-0707-1

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title = "Molecular phenotyping of a UK population: defining the human serum metabolome",

abstract = "Phenotyping of 1,200 {\textquoteleft}healthy{\textquoteright} 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 {\textquoteleft}normal{\textquoteright} 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/).",

keywords = "Human serum, Metabolic phenotyping, UK population, Mass spectrometry, Clinical biochemistry",

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

year = "2015",

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day = "1",

doi = "10.1007/s11306-014-0707-1",

language = "English",

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Dunn, WB, Lin, W, Broadhurst, D, Begley, P, Brown, M, Zelena, E, Vaughan, AA, Halsall, A, Harding, N, Knowles, JD, Francis-mcintyre, S, Tseng, A, Ellis, DI, O’hagan, S, Aarons, G, Benjamin, B, Chew-graham, S, Moseley, C, Potter, P, Winder, CL, Potts, C, Thornton, P, Mcwhirter, C, Zubair, M, Pan, M, Burns, A, Cruickshank, JK, Jayson, GC, Purandare, N, Wu, FCW, Finn, JD, Haselden, JN, Nicholls, AW, Wilson, ID, Goodacre, R & Kell, DB 2015, 'Molecular phenotyping of a UK population: defining the human serum metabolome', Metabolomics, vol. 11, no. 1, pp. 9-26. https://doi.org/10.1007/s11306-014-0707-1

TY - JOUR

T1 - Molecular phenotyping of a UK population: defining the human serum metabolome

AU - Dunn, Warwick B.

AU - Lin, Wanchang

AU - Broadhurst, David

AU - Begley, Paul

AU - Brown, Marie

AU - Zelena, Eva

AU - Vaughan, Andrew A.

AU - Halsall, Antony

AU - Harding, Nadine

AU - Knowles, Joshua D.

AU - Francis-mcintyre, Sue

AU - Tseng, Andy

AU - Ellis, David I.

AU - O’hagan, Steve

AU - Aarons, Gill

AU - Benjamin, Boben

AU - Chew-graham, Stephen

AU - Moseley, Carly

AU - Potter, Paula

AU - Winder, Catherine L.

AU - Potts, Catherine

AU - Thornton, Paula

AU - Mcwhirter, Catriona

AU - Zubair, Mohammed

AU - Pan, Martin

AU - Burns, Alistair

AU - Cruickshank, J. Kennedy

AU - Jayson, Gordon C.

AU - Purandare, Nitin

AU - Wu, Frederick C. W.

AU - Finn, Joe D.

AU - Haselden, John N.

AU - Nicholls, Andrew W.

AU - Wilson, Ian D.

AU - Goodacre, Royston

AU - Kell, Douglas B.

PY - 2015/2/1

Y1 - 2015/2/1

N2 - 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/).

AB - 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/).

KW - Human serum

KW - Metabolic phenotyping

KW - UK population

KW - Mass spectrometry

KW - Clinical biochemistry

U2 - 10.1007/s11306-014-0707-1

DO - 10.1007/s11306-014-0707-1

M3 - Article

SN - 1573-3882

VL - 11

SP - 9

EP - 26

JO - Metabolomics

JF - Metabolomics

IS - 1

ER -

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

Abstract

Keywords

UN SDGs

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