Longitudinal urinary metabolomic profiling reveals metabolites for asthma development in early childhood

Research output: Contribution to journalJournal Article peer-review

43 Scopus citations

Abstract

Background: Several metabolites and altered metabolic pathways have been reported to be associated with asthma. However, longitudinal analysis of the dynamics of metabolites contributing to the development of asthma has not yet been fully clarified. Methods: We sought to identify the metabolic mechanisms underlying asthma development in early childhood. Thirty children with asthma and paired healthy controls from a prospective birth cohort were enrolled. Time series analysis of urinary metabolites collected at ages 1, 2, 3, and 4 years was assessed using 1H nuclear magnetic resonance (NMR) spectroscopy coupled with partial least squares discriminant analysis (PLS-DA). Metabolites identified were studied in relation to changes over time in a linear mixed model for repeated measures. Results: A total of 172 urine samples collected from the enrolled children were analyzed. Urinary metabolomics identified four metabolites significantly associated with childhood asthma development, with longitudinal analysis. Among them, dimethylamine, a metabolite produced by intestinal bacteria, appeared to shift from higher to lower level during asthma development. A persistent lower level of 1-methylnicotinamide and allantoin was found in children with asthma, with a peak difference at age 3 years (P =.032 and P =.021, respectively). Furthermore, a significant inverse correlation was found between allantoin and house dust mite sensitization (Spearman’s r = −.297 P =.035). Conclusions: Longitudinal urinary metabolomic profiling provides a link of microbe-environment interactions in the development of childhood asthma. 1-Methylnicotinamide and allantoin may participate in allergic reactions in response to allergen exposure, potentially serving as specific biomarkers for asthma.

Original languageEnglish
Pages (from-to)496-503
Number of pages8
JournalPediatric Allergy and Immunology
Volume29
Issue number5
DOIs
StatePublished - 08 2018

Bibliographical note

Publisher Copyright:
© 2018 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • asthma
  • metabolomics
  • microbe-environment interactions
  • urine

Fingerprint

Dive into the research topics of 'Longitudinal urinary metabolomic profiling reveals metabolites for asthma development in early childhood'. Together they form a unique fingerprint.

Cite this