Wheezing preschool children with early-onset asthma reveal a specific metabolomic profile

Pediatr Allergy Immunol. 2018 Jun;29(4):375-382. doi: 10.1111/pai.12879. Epub 2018 Apr 15.

Abstract

Background: Many children of preschool age present with recurrent wheezing. Most of them outgrow their symptoms, while some have early-onset asthma. Aim of this prospective preliminary study was to apply a metabolomic approach to see whether biochemical-metabolic urinary profiles can have a role in the early identification of the children with asthma.

Methods: Preschool children with recurrent wheezing were recruited and followed up for 3 years, after which they were classified as cases of transient wheezing or early-onset asthma. A urine sample was collected at recruitment and analyzed using a metabolomic approach based on UPLC mass spectrometry.

Results: Among 34 children aged 4.0 ± 1.1 years recruited, at the end of the 3-year follow-up, 16 were classified as having transient wheezing and 16 as cases of early-onset asthma. Through a joint multivariate and univariate statistical analyses, we identified a subset of metabolomic variables that enabled the 2 groups to be clearly distinguished. The model built using the identified variables showed an AUC = 0.99 and an AUC = 0.88 on sevenfold full cross-validation (P = .002).

Conclusions: Metabolomic urinary profile can discriminate preschoolers with recurrent wheezing who will outgrow their symptoms from those who have early-onset asthma. These results may pave the way to the characterization of early non-invasive biomarkers capable of predicting asthma development.

Keywords: asthma; metabolomics; pediatrics; recurrent wheezing; urine.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age of Onset
  • Asthma / diagnosis*
  • Asthma / urine
  • Biomarkers / urine
  • Case-Control Studies
  • Child, Preschool
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Metabolome*
  • Metabolomics
  • Prospective Studies
  • Recurrence
  • Respiratory Sounds / physiopathology*

Substances

  • Biomarkers