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Type of publication: research article
Type of publication (PDB): Straipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1)
Field of Science: Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Lau, Chung-Ho E;Siskos, Alexandros P;Maitre, Léa;Robinson, Oliver;Athersuch, Toby J;Want, Elizabeth J;Urquiza, Jose;Casas, Maribel;Vafeiadi, Marina;Roumeliotaki, Theano;McEachan, Rosie;Azad, Rafaq;Haug, Line Småstuen;Meltzer, Helle Margrete;Andrušaitytė, Sandra;Petravičienė, Inga;Gražulevičienė, Regina;Thomsen, Cathrine;Wright, John;Slama, Rémy;Chatzi, Leda;Vrijheid, Martine;Keun, Hector C;Coen, Muireann
Title: Determinants of the urinary and serum metabolome in children from six European populations
Is part of: BMC medicine. [London] : Springer Nature, 2018, vol. 16
Extent: p. 1-19
Date: 2018
Note: Article Number: 202. Funding Agency: European Community; Grant Number: 308333
Keywords: Exposome metabolomics;Metabonomics;Metabolic phenotyping;Epidemiology;Birth cohorts;NMR spectroscopy;Metabolic profile;Paediatrics
Abstract: Environment 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 ( Methods Metabolic 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). Results We 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-deoxyerythreonic 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. [...]
Affiliation(s): Aplinkotyros katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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