Assessment of metabolic phenotypic variability in children's urine using H-1 NMR spectroscopy

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Title: Assessment of metabolic phenotypic variability in children's urine using H-1 NMR spectroscopy
Authors: Maitre, L
Lau, C-HE
Vizcaino, E
Robinson, O
Casas, M
Siskos, AP
Want, EJ
Athersuch, T
Slama, R
Vrijheid, M
Keun, HC
Coen, M
Item Type: Journal Article
Abstract: The application of metabolic phenotyping in clinical and epidemiological studies is limited by a poor understanding of inter-individual, intra-individual and temporal variability in metabolic phenotypes. Using 1H NMR spectroscopy we characterised short-term variability in urinary metabolites measured from 20 children aged 8–9 years old. Daily spot morning, night-time and pooled (50:50 morning and night-time) urine samples across six days (18 samples per child) were analysed, and 44 metabolites quantified. Intraclass correlation coefficients (ICC) and mixed effect models were applied to assess the reproducibility and biological variance of metabolic phenotypes. Excellent analytical reproducibility and precision was demonstrated for the 1H NMR spectroscopic platform (median CV 7.2%). Pooled samples captured the best inter-individual variability with an ICC of 0.40 (median). Trimethylamine, N-acetyl neuraminic acid, 3-hydroxyisobutyrate, 3-hydroxybutyrate/3-aminoisobutyrate, tyrosine, valine and 3-hydroxyisovalerate exhibited the highest stability with over 50% of variance specific to the child. The pooled sample was shown to capture the most inter-individual variance in the metabolic phenotype, which is of importance for molecular epidemiology study design. A substantial proportion of the variation in the urinary metabolome of children is specific to the individual, underlining the potential of such data to inform clinical and exposome studies conducted early in life.
Issue Date: 19-Apr-2017
Date of Acceptance: 8-Mar-2017
ISSN: 2045-2322
Publisher: Nature Publishing Group
Journal / Book Title: Scientific Reports
Volume: 7
Copyright Statement: © The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 308333
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
Publication Status: Published
Article Number: ARTN 46082
Appears in Collections:Division of Surgery
Division of Cancer
Faculty of Medicine

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