RT Journal Article
T1 Discriminatory Molecular Biomarkers of Allergic and Nonallergic Asthma and Its Severity.
A1 Baos, Selene
A1 Calzada, David
A1 Cremades-Jimeno, Lucía
A1 de Pedro, MªÁngeles
A1 Sastre, Joaquín
A1 Picado, César
A1 Quiralte, Joaquín
A1 Florido, Fernando
A1 Lahoz, Carlos
A1 Cárdaba, Blanca
K1 allergy
K1 asthma
K1 biomarkers
K1 gene expression
K1 protein expression
AB Asthma is a complex disease comprising various phenotypes and endotypes, all of which still need solid biomarkers for accurate classification. In a previous study, we defined specific genes related to asthma and respiratory allergy by studying the expression of 94 genes in a population composed of 4 groups of subjects: healthy control, nonallergic asthmatic, asthmatic allergic, and nonasthmatic allergic patients. An analysis of differential gene expression between controls and patients revealed a set of statistically relevant genes mainly associated with disease severity, i.e., CHI3L1, IL-8, IL-10, MSR1, PHLDA1, PI3, and SERPINB2. Here, we analyzed whether these genes and their proteins could be potential asthma biomarkers to distinguish between nonallergic asthmatic and asthmatic allergic subjects. Protein quantification was determined by ELISA (in serum) or Western blot (in protein extracted from peripheral blood mononuclear cells or PBMCs). Statistical analyses were performed by unpaired t-test using the Graph-Pad program. The sensitivity and specificity of the gene and protein expression of several candidate biomarkers in differentiating the two groups (and the severity subgroups) was performed by receiver operating characteristic (ROC) curve analysis using the R program. The ROC curve analysis determined single genes with good sensitivity and specificity for discriminating some of the phenotypes. However, interesting combinations of two or three protein biomarkers were found to distinguish the asthma disease and disease severity between the different phenotypes of this pathology using reproducible techniques in easy-to-obtain samples. Gene and protein panels formed by single biomarkers and biomarker combinations have been defined in easily obtainable samples and by standardized techniques. These panels could be useful for characterizing phenotypes of asthma, specifically when differentiating asthma severity.
YR 2019
FD 2019-05-09
LK http://hdl.handle.net/10668/14036
UL http://hdl.handle.net/10668/14036
LA en
DS RISalud
RD Apr 5, 2025