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

Warwick Dunn; Wanchang Lin; David Broadhurst; Paul Begley; M Brown; Eva Zelena; Andrew Vaughan; Antony Halsall; N Harding; Joshua Knowles; S Francis-McIntyre; Andy Tseng; David Ellis; Stephen O'Hagan; Gill Aarons; Boben Benjamin; Stephen Chew-Graham; Carly Moseley; P Potter; Catherine Winder; C Potts; Paul Thornton; C McWhirter; Mohammed Zubair; M Pan; Alistair Burns; Kennedy Cruickshank; Gordon Jayson; Nitin Purandare; FC Wu; Joseph Finn; JN Haselden; AW Nicholls; ID Wilson; Roy Goodacre; Douglas Kell

doi:10.1007/s11306-014-0707-1

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

Warwick Dunn, Wanchang Lin, David Broadhurst, Paul Begley, M Brown, Eva Zelena, Andrew Vaughan, Antony Halsall, N Harding, Joshua Knowles, S Francis-McIntyre, Andy Tseng, David Ellis, Stephen O'Hagan, Gill Aarons, Boben Benjamin, Stephen Chew-Graham, Carly Moseley, P Potter, Catherine WinderC Potts, Paul Thornton, C McWhirter, Mohammed Zubair, M Pan, Alistair Burns, Kennedy Cruickshank, Gordon Jayson, Nitin Purandare, FC Wu, Joseph Finn, JN Haselden, AW Nicholls, ID Wilson, Roy Goodacre, Douglas Kell

Research output: Contribution to journal › Article › peer-review

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
Number of pages	18
Journal	Metabolomics
Volume	11
Issue number	1
Early online date	25 Jul 2014
DOIs	https://doi.org/10.1007/s11306-014-0707-1
Publication status	Published - Feb 2015

Keywords

Human serum Metabolic phenotyping UK population Mass spectrometry Clinical biochemistry

Access to Document

10.1007/s11306-014-0707-1

http://link.springer.com/article/10.1007/s11306-014-0707-1/fulltext.html

Cite this

Dunn, W., Lin, W., Broadhurst, D., Begley, P., Brown, M., Zelena, E., Vaughan, A., Halsall, A., Harding, N., Knowles, J., Francis-McIntyre, S., Tseng, A., Ellis, D., O'Hagan, S., Aarons, G., Benjamin, B., Chew-Graham, S., Moseley, C., Potter, P., ... Kell, D. (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

@article{8e87b0d3198c4b6297c3785abd612dc8,

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 = "Warwick Dunn and Wanchang Lin and David Broadhurst and Paul Begley and M Brown and Eva Zelena and Andrew Vaughan and Antony Halsall and N Harding and Joshua Knowles and S Francis-McIntyre and Andy Tseng and David Ellis and Stephen O'Hagan and Gill Aarons and Boben Benjamin and Stephen Chew-Graham and Carly Moseley and P Potter and Catherine Winder and C Potts and Paul Thornton and C McWhirter and Mohammed Zubair and M Pan and Alistair Burns and Kennedy Cruickshank and Gordon Jayson and Nitin Purandare and FC Wu and Joseph Finn and JN Haselden and AW Nicholls and ID Wilson and Roy Goodacre and Douglas Kell",

note = "This work was funded under the terms of the UK LINK Applied Genomics Scheme, with funding from the UK Biotechnology and Biological Sciences Research Council (Grant number BB/C519038/1) and Medical Research Council, and with contributions from Astra-Zeneca and Glaxo SmithKline. AAV and RG are also supported by Cancer Research UK. We thank Dr Celia Caulcott for her outstanding assistance as LINK coordinator, and the many donors for their samples. All metabolite data and associated demographic/clinical metadata are available at the publically available metabolomics data repository MetaboLights (http://www.ebi.ac. uk/metabolights/; study identifier MTBLS97).",

year = "2015",

month = feb,

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

language = "English",

volume = "11",

pages = "9--26",

journal = "Metabolomics",

issn = "1573-3882",

publisher = "Springer Nature",

number = "1",

}

Dunn, W, Lin, W, Broadhurst, D, Begley, P, Brown, M, Zelena, E, Vaughan, A, Halsall, A, Harding, N, Knowles, J, Francis-McIntyre, S, Tseng, A, Ellis, D, O'Hagan, S, Aarons, G, Benjamin, B, Chew-Graham, S, Moseley, C, Potter, P, Winder, C, Potts, C, Thornton, P, McWhirter, C, Zubair, M, Pan, M, Burns, A, Cruickshank, K, Jayson, G, Purandare, N, Wu, FC, Finn, J, Haselden, JN, Nicholls, AW, Wilson, ID, Goodacre, R & Kell, D 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

T2 - defining the human serum metabolome

AU - Dunn, Warwick

AU - Lin, Wanchang

AU - Broadhurst, David

AU - Begley, Paul

AU - Brown, M

AU - Zelena, Eva

AU - Vaughan, Andrew

AU - Halsall, Antony

AU - Harding, N

AU - Knowles, Joshua

AU - Francis-McIntyre, S

AU - Tseng, Andy

AU - Ellis, David

AU - O'Hagan, Stephen

AU - Aarons, Gill

AU - Benjamin, Boben

AU - Chew-Graham, Stephen

AU - Moseley, Carly

AU - Potter, P

AU - Winder, Catherine

AU - Potts, C

AU - Thornton, Paul

AU - McWhirter, C

AU - Zubair, Mohammed

AU - Pan, M

AU - Burns, Alistair

AU - Cruickshank, Kennedy

AU - Jayson, Gordon

AU - Purandare, Nitin

AU - Wu, FC

AU - Finn, Joseph

AU - Haselden, JN

AU - Nicholls, AW

AU - Wilson, ID

AU - Goodacre, Roy

AU - Kell, Douglas

N1 - This work was funded under the terms of the UK LINK Applied Genomics Scheme, with funding from the UK Biotechnology and Biological Sciences Research Council (Grant number BB/C519038/1) and Medical Research Council, and with contributions from Astra-Zeneca and Glaxo SmithKline. AAV and RG are also supported by Cancer Research UK. We thank Dr Celia Caulcott for her outstanding assistance as LINK coordinator, and the many donors for their samples. All metabolite data and associated demographic/clinical metadata are available at the publically available metabolomics data repository MetaboLights (http://www.ebi.ac. uk/metabolights/; study identifier MTBLS97).

PY - 2015/2

Y1 - 2015/2

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 Metabolic phenotyping UK population Mass spectrometry Clinical biochemistry

U2 - 10.1007/s11306-014-0707-1

DO - 10.1007/s11306-014-0707-1

M3 - Article

C2 - 25598764

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

Access to Document

Fingerprint

Cite this