Molecular phenotyping of a UK population: defining the human serum metabolome
File(s)
Author(s)
Type
Journal Article
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/).
Date Issued
2015-02-01
Date Acceptance
2014-07-09
Citation
Metabolomics, 2015, 11 (1), pp.9-26
ISSN
1573-3882
Publisher
Springer Verlag
Start Page
9
End Page
26
Journal / Book Title
Metabolomics
Volume
11
Issue
1
Copyright Statement
© The Author(s) 2014. This article is published with open access at Springerlink.com. This 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.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000348343300003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Endocrinology & Metabolism
Human serum
Metabolic phenotyping
UK population
Mass spectrometry
Clinical biochemistry
MINIMUM REPORTING STANDARDS
SYSTEMS BIOLOGY
DRUG DISCOVERY
LARGE-SCALE
GAS-CHROMATOGRAPHY
MASS-SPECTROMETRY
PROFILES
RECONSTRUCTION
ASSOCIATION
BIOMARKERS
Publication Status
Published
Date Publish Online
2014-07-25