To date, a large number of mediators and biomarkers have been detected in childhood asthma, with a potential role in monitoring the disease course. Lung function evaluation through spirometry, forced oscillation technique and multiple breath washout proved its role in asthma monitoring, especially for investigating small airway impairment in children with more severe symptoms. Recently, novel specialized pro-resolving mediators, suchas resolvins and lipoxins, have been recognized as crucial in promoting the resolution of lung inflammation. Increasing evidence suggests that miRNAs are crucially entailed in asthma. Partial least squares discriminant analysis (plsDA) is a modern technique for multiparametric analysis. The purpose of this study was to establish through plsDA the implications of resolvin D1 and miR-146a, along with prophlogistic and lung function parameters, for characterizing children with moderate and severe asthma.

Resolvin D1 and miR-146a are independent distinctive parameters in children with moderate and severe asthma

Ferrante G;
2021

Abstract

To date, a large number of mediators and biomarkers have been detected in childhood asthma, with a potential role in monitoring the disease course. Lung function evaluation through spirometry, forced oscillation technique and multiple breath washout proved its role in asthma monitoring, especially for investigating small airway impairment in children with more severe symptoms. Recently, novel specialized pro-resolving mediators, suchas resolvins and lipoxins, have been recognized as crucial in promoting the resolution of lung inflammation. Increasing evidence suggests that miRNAs are crucially entailed in asthma. Partial least squares discriminant analysis (plsDA) is a modern technique for multiparametric analysis. The purpose of this study was to establish through plsDA the implications of resolvin D1 and miR-146a, along with prophlogistic and lung function parameters, for characterizing children with moderate and severe asthma.
resolvin D1
miR-146a
asthma
children
partial least squares discriminant analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/1050518
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