Title: ASTHMA SEVERITY IN CHILDHOOD AND METABOLOMIC PROFILING OF BREATH CONDENSATE
Authors: CARRARO SilviaGIORDANO GiuseppeRENIERO FabianoCARPI DONATELLASTOCCHERO MatteoSTERK PeterBARALDI Eugenio
Citation: ALLERGY vol. 68 no. 1 p. 110-117
Publisher: WILEY-BLACKWELL
Publication Year: 2013
JRC N°: JRC70161
ISSN: 0105-4538
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC70161
DOI: 10.1111/all.12063
Type: Articles in periodicals and books
Abstract: Background. Asthma is a heterogeneous disease and its different phenotypes need to be better characterized from a biochemical-inflammatory standpoint. The present study aimed to apply the metabolomic approach to exhaled breath condensate (breathomics) to discriminate different asthma phenotypes, with a particular focus on severe asthma in children. Methods. In this cross sectional study we recruited 42 asthmatic children (age 8-17 years): 31 with non-severe asthma (treated with inhaled steroids or not) and 11 with severe asthma. Fifteen healthy children were enrolled as controls. Children performed exhaled nitric oxide measurement, spirometry, exhaled breath condensate (EBC) collection. Condensate samples were analysed using a metabolomic approach based on mass spectrometry. Results. A robust O2PLS-DA model was found for discriminating both between severe asthma cases and healthy controls (R2=0.93; Q2=0.75) and between severe asthma and non-severe asthma (R2=0.84; Q2=0.47). The metabolomic data analysis leads to a robust model also when the 3 groups of children were considered altogether (R2=0.78, K=0.59), indicating that each group is characterised by a specific metabolomic profile. Compounds related to retinoic acid, adenosine and vitamin D (Human Metabolome Database), were relevant for the discrimination between groups Conclusion. The metabolomic profiling of EBC could clearly distinguish children with different degrees of asthma severity and enabled the severe asthma phenotype to be fully discriminated. The breathomics approach may therefore be suitable for discriminating between different asthma metabolic phenotypes.
JRC Directorate:Institute for Health and Consumer Protection Historical Collection

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.