Evidence map›Paper›PMID 30404627›Full record

ArticleBMC medicine2018

Determinants of the urinary and serum metabolome in children from six European populations.

Chung-Ho E Lau, Alexandros P Siskos, Léa Maitre, Oliver Robinson, Toby J Athersuch, Elizabeth J Want, Jose Urquiza, Maribel Casas, Marina Vafeiadi, Theano Roumeliotaki and 14 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed, 2 syntheses or guidelines pooled it, 164 citations in OpenAlex.

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  14. Serum Metabolomic Markers of Dietary Potassium and Risk of CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 11 institutions in 7 countries.

Chung-Ho E LauDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK. esmond.lau06@imperial.ac.uk.
Alexandros P SiskosDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Léa MaitreISGlobal, Barcelona, Spain.
Oliver RobinsonMRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK.
Toby J AthersuchDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Elizabeth J WantDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Jose UrquizaISGlobal, Barcelona, Spain.
Maribel CasasISGlobal, Barcelona, Spain.
Marina VafeiadiDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.
Theano RoumeliotakiDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.
Rosemary R C McEachanBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Rafaq AzadBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Line S HaugNorwegian Institute of Public Health, Oslo, Norway.
Helle M MeltzerNorwegian Institute of Public Health, Oslo, Norway.
Sandra AndrusaityteDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Inga PetravicieneDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Regina GrazulevicieneDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Cathrine ThomsenNorwegian Institute of Public Health, Oslo, Norway.
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Remy SlamaInserm, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Grenoble, France.
Leda ChatziDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Martine VrijheidISGlobal, Barcelona, Spain.
Hector C KeunDivision of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.
Muireann CoenDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK. m.coen@imperial.ac.uk.
Imperial College London · GBBradford Teaching Hospitals NHS Foundation Trust · GBNorwegian Institute of Public Health · NOVytautas Magnus University · LTBarcelona Institute for Global Health · ESUniversity of Crete · GRAstraZeneca (United Kingdom) · GBCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESInstitut pour l'avancée des biosciences · FRPompeu Fabra University · ESUniversity of Southern California · US

Funding

Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
NIEHS NIH HHS N01 ES075558NINDS NIH HHS U01 NS047537
6 · The paper itself

Abstract

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

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-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. Metabolic pathway correlations were identified, and concentrations of corresponding metabolites were significantly correlated (r > 0.18) between urine and serum.

conclusionsWe have established a pan-European reference metabolome for urine and serum of healthy children and gathered critical resources not previously available for future investigations into the influence of the metabolome on child health. The six European cohort populations studied share common metabolic associations with age, sex, BMI z-score and main dietary habits. Furthermore, we have identified a novel metabolic association between threonine catabolism and BMI of children.

Indexed as

MetabolomeChildCohort StudiesEuropeFemaleHumansMaleMetabolomicsReference ValuesBirth cohortsEpidemiologyEuropean childrenExposome metabolomicsLC-MSMetabolic phenotypingMetabolic profileMetabonomicsNMR spectroscopyPaediatrics

Identifiers

PMID30404627
PMCPMC6223046
OpenAlexW2899778004

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.