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 language | English |
|---|---|
| Pages (from-to) | 496-503 |
| Number of pages | 8 |
| Journal | Pediatric Allergy and Immunology |
| Volume | 29 |
| Issue number | 5 |
| DOIs | |
| State | Published - 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)
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SDG 3 Good Health and Well-being
Keywords
- asthma
- metabolomics
- microbe-environment interactions
- urine
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