Metabolomics Applied to Exhaled Breath Condensate in Childhood Asthma

The discrimination of healthy and asthmatic cases can be solved using linear- and partial least squares discrimninant analysis of clinical and metabonomics (NMR) data. 25 asthmatic children and 11 healthy children were enrolled in the study. For each child the EBC NMR spectrum and three clinical variables were determined. Although the number of cases did not allow of applying external validation or cross validation the present data makes the following conclusions possible: Linear Discriminant Analysis (LDA) using best subset selection has found that the best distinction between asthmatic and healthy children is obtained from a four variable model including FEV1 and chemical shifts at 2.02, 1.82, 1.74 in the NMR spectrum. Taken together the 4 variables discriminate asthmatic from healthy children with a success rate of up to 97%. This result points out how the best characterization of asthmatic subjects comes from the combined knowledge of lung function and ongoing inflammatory pattern. Being in the 1.8-2.3 range within the NMR spectrum, the peaks included in the best model are likely related to the presence of acetylated products in asthmatic airways. Our finding of acetylated products in asthmatic children open the way toward further studies aiming at the identification of these products, among which HMGB1 could have a role

CARRARO Silvia;  REZZI Serge;  RENIERO Fabiano;  HEBERGER Karoly;  GIORDANO Giuseppe;  ZANCONATO Stefania;  GUILLOU Claude;  BARALDI Eugenio; 

2007-05-24

AMER THORACIC SOC

JRC36846

1073-449X,   

https://publications.jrc.ec.europa.eu/repository/handle/JRC36846,   

10.1164/rccm.200606-769OC,