Matthew J. Loza

TL;DR: The objective was to determine molecular phenotypes of asthma by analysing sputum cell transcriptomics from 104 moderate-to-severe asthmatic subjects and 16 nonasthmatic subjects, finding one Th2-high eosinophilic phenotype TAC1, and two non-Th2 phenotypes TAC2 and TAC3, characterised by inflammasome-associated and metabolic/mitochondrial pathways, respectively.

TL;DR: Clustering based on clinicophysiologic parameters yielded 4 stable and reproducible clusters of asthmatic patients that associate with different pathobiological pathways.

TL;DR: Inflammasome inhibition using CRID3 prevented airway hyperresponsiveness and airway inflammation (both neutrophilia and eosinophilia) in a mouse model of severe allergic asthma.

TL;DR: An inference scheme using the currently available inflammatory biomarkers sputum eosinophilia and fractional exhaled nitric oxide levels, along with oral corticosteroid use, is described that could predict the subtypes of gene expression within bronchial biopsies and epithelial cells with good sensitivity and specificity.

TL;DR: In this article, an IL-6TS gene signature, obtained from air-liquid interface (ALI) cultures of human bronchial epithelial cells, was used to stratify lung epithelium transcriptomic data (U-BIOPRED cohorts) by hierarchical clustering.