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Published on: June 9, 2019
Longitudinal urinary metabolomic profiling reveals metabolites for asthma development in early childhood
Chih-Yung Chiu1,2,3, Gigin Lin4, Mei-Ling Cheng5,6
1Department of Pediatrics, Chang Gung Memorial Hospital at Keelung, Chang Gung University, Taoyuan, Taiwan.
Insights
Longitudinal urinary metabolomics revealed key metabolites linked to childhood asthma development. Persistent lower levels of 1-methylnicotinamide and allantoin may serve as asthma biomarkers.
Area of Science:
- Metabolomics
- Pediatric Asthma Research
- Microbiome-Host Interactions
Background:
- Asthma development is linked to various metabolites and metabolic pathways.
- Longitudinal dynamics of metabolites in asthma development require further clarification.
Purpose of the Study:
- To identify metabolic mechanisms underlying asthma development in early childhood.
- To analyze longitudinal changes in urinary metabolites associated with asthma.
Main Methods:
- Prospective birth cohort study with 30 children with asthma and controls.
- Time-series analysis of urinary metabolites (ages 1-4) using 1H NMR spectroscopy and PLS-DA.
- Linear mixed-effects models for repeated measures to assess metabolite changes over time.
Main Results:
- Four urinary metabolites were significantly associated with childhood asthma development.
- Dimethylamine levels decreased during asthma development.
- 1-Methylnicotinamide and allantoin were persistently lower in children with asthma, with peak differences at age 3.
- Allantoin showed an inverse correlation with house dust mite sensitization.
Conclusions:
- Longitudinal urinary metabolomic profiling links microbial-environmental interactions to childhood asthma.
- 1-Methylnicotinamide and allantoin may be involved in allergic responses and serve as asthma biomarkers.
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 1 H 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.
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