Imperial College London
Alternate

Dr Elizabeth Want

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Senior Lecturer
 
 
 
//

Contact

 

+44 (0)20 7594 3023e.want

 
 
//

Location

 

E315CBurlington DanesHammersmith Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Lau:2018:10.1186/s12916-018-1190-8,
author = {Lau, CH and Siskos, AP and Maitre, L and Robinson, O and Athersuch, TJ and Want, EJ and Urquiza, J and Casas, M and Vafeiadi, M and Roumeliotaki, T and McEachan, RRC and Azad, R and Haug, LS and Meltzer, HM and Andrusaityte, S and Petraviciene, I and Grazuleviciene, R and Thomsen, C and Wright, J and Slama, R and Chatzi, L and Vrijheid, M and Keun, HC and Coen, M},
doi = {10.1186/s12916-018-1190-8},
journal = {BMC Medicine},
title = {Determinants of the urinary and serum metabolome in children from six European populations},
url = {http://dx.doi.org/10.1186/s12916-018-1190-8},
volume = {16},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundEnvironment and diet in early life can affect development and health throughout the life course. Metabolic phenotyping of urine and serum represents a complementary systems-wide approach to elucidate environment–health interactions. However, large-scale metabolome studies in children combining analyses of these biological fluids are lacking. Here, we sought to characterise the major determinants of the child metabolome and to define metabolite associations with age, sex, BMI and dietary habits in European children, by exploiting a unique biobank established as part of the Human Early-Life Exposome project (http://www.projecthelix.eu).MethodsMetabolic phenotypes of matched urine and serum samples from 1192 children (aged 6–11) recruited from birth cohorts in six European countries were measured using high-throughput 1H nuclear magnetic resonance (NMR) spectroscopy and a targeted LC-MS/MS metabolomic assay (Biocrates AbsoluteIDQ p180 kit).ResultsWe identified both urinary and serum creatinine to be positively associated with age. Metabolic associations to BMI z-score included a novel association with urinary 4-deoxyerythronic acid in addition to valine, serum carnitine, short-chain acylcarnitines (C3, C5), glutamate, BCAAs, lysophosphatidylcholines (lysoPC a C14:0, lysoPC a C16:1, lysoPC a C18:1, lysoPC a C18:2) and sphingolipids (SM C16:0, SM C16:1, SM C18:1). Dietary-metabolite associations included urinary creatine and serum phosphatidylcholines (4) with meat intake, serum phosphatidylcholines (12) with fish, urinary hippurate with vegetables, and urinary proline betaine and hippurate with fruit intake. Population-specific variance (age, sex, BMI, ethnicity, dietary and country of origin) was better captured in the serum than in the urine profile; these factors explained a median of 9.0% variance amongst serum metabolites versus a median of 5.1% amongst urinary metabolites. Metabolic pathway correlations were identified, and concentrations of
AU  - Lau,CH
AU  - Siskos,AP
AU  - Maitre,L
AU  - Robinson,O
AU  - Athersuch,TJ
AU  - Want,EJ
AU  - Urquiza,J
AU  - Casas,M
AU  - Vafeiadi,M
AU  - Roumeliotaki,T
AU  - McEachan,RRC
AU  - Azad,R
AU  - Haug,LS
AU  - Meltzer,HM
AU  - Andrusaityte,S
AU  - Petraviciene,I
AU  - Grazuleviciene,R
AU  - Thomsen,C
AU  - Wright,J
AU  - Slama,R
AU  - Chatzi,L
AU  - Vrijheid,M
AU  - Keun,HC
AU  - Coen,M
DO  - 10.1186/s12916-018-1190-8
PY  - 2018///
SN  - 1741-7015
TI  - Determinants of the urinary and serum metabolome in children from six European populations
T2  - BMC Medicine
UR  - http://dx.doi.org/10.1186/s12916-018-1190-8
UR  - http://hdl.handle.net/10044/1/65436
VL  - 16
ER  -
Download