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Breathomics in Asthmatic Children Treated with Inhaled Corticosteroids

Authors :
Silvia Carraro
Stefania Zanconato
Paola Pirillo
Valentina Agnese Ferraro
Giuseppe Giordano
Antonina Gucciardi
Eugenio Baraldi
Gabriele Poloniato
Matteo Stocchero
Source :
Metabolites, Volume 10, Issue 10, Metabolites, Vol 10, Iss 390, p 390 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Background: &ldquo<br />breathomics&rdquo<br />enables indirect analysis of metabolic patterns underlying a respiratory disease. In this study, we analyze exhaled breath condensate (EBC) in asthmatic children before (T0) and after (T1) a three-week course of inhaled beclomethasone dipropionate (BDP). Methods: we recruited steroid-naive asthmatic children for whom inhaled steroids were indicated and healthy children, evaluating asthma control, spirometry and EBC (in asthmatics at T0 and T1). A liquid-chromatography&ndash<br />mass-spectrometry untargeted analysis was applied to EBC and a mass spectrometry-based target analysis to urine samples. Results: metabolomic analysis discriminated asthmatic (n = 26) from healthy children (n = 16) at T0 and T1, discovering 108 and 65 features relevant for the discrimination, respectively. Searching metabolomics databases, seven putative biomarkers with a plausible role in asthma biochemical&ndash<br />metabolic processes were found. After BDP treatment, asthmatic children, in the face of an improved asthma control (p &lt<br />0.001) and lung function (p = 0.01), showed neither changes in EBC metabolomic profile nor in urinary endogenous steroid profile. Conclusions: &ldquo<br />can discriminate asthmatic from healthy children, with prostaglandin, fatty acid and glycerophospholipid as putative markers. The three-week course of BDP&mdash<br />in spite of a significant clinical improvement&mdash<br />was not associated with changes in EBC metabolic arrangement and urinary steroid profile.

Details

ISSN :
22181989
Volume :
10
Database :
OpenAIRE
Journal :
Metabolites
Accession number :
edsair.doi.dedup.....5893feca83a24b57a350805dceff0b8f
Full Text :
https://doi.org/10.3390/metabo10100390