scispace - formally typeset
Open AccessJournal ArticleDOI

"T2-high" in severe asthma related to blood eosinophil, exhaled nitric oxide and serum periostin

TLDR
T2-high severe asthma can be predicted to some extent from raised levels of FeNO, blood and sputum eosinophil counts, but serum IgE or serum periostin were poor predictors and better bedside biomarkers are needed to detect T2- high.
Citations
More filters
Journal ArticleDOI

The Role of Lung and Gut Microbiota in the Pathology of Asthma

TL;DR: This review focuses on recently discovered connections between lung and gut microbiota, including bacteria, fungi, viruses, and archaea, and their influence on asthma.
Journal ArticleDOI

Phenotypes and endotypes of adult asthma: Moving toward precision medicine

TL;DR: Advances in the understanding of the diverse immunologic perturbations that drive airway inflammation are consistent with clinical traits associated with these phenotypes and their response to biologic therapies, and these disease subtypes represent asthma endotypes.
Journal ArticleDOI

Pathophysiological Mechanisms of Asthma.

TL;DR: Management of the asthmas can and should be improved by considering the pathophysiologies of the different airway diseases lumped under that umbrella term, using simple, non-invasive tests which are readily available, and treating accordingly.
References
More filters
Journal ArticleDOI

limma powers differential expression analyses for RNA-sequencing and microarray studies

TL;DR: The philosophy and design of the limma package is reviewed, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
Journal ArticleDOI

GSVA: gene set variation analysis for microarray and RNA-seq data.

TL;DR: This work introduces Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity over a sample population in an unsupervised manner and constitutes a starting point to build pathway-centric models of biology.
Journal ArticleDOI

Identification of Asthma Phenotypes Using Cluster Analysis in the Severe Asthma Research Program

TL;DR: Five distinct clinical phenotypes of asthma have been identified using an unsupervised hierarchical cluster analysis, which supports clinical heterogeneity in asthma and the need for new approaches for the classification of disease severity in asthma.
Journal ArticleDOI

Mepolizumab Treatment in Patients with Severe Eosinophilic Asthma

TL;DR: Mepolizumab administered either intravenously or subcutaneously significantly reduced asthma exacerbations and was associated with improvements in markers of asthma control and the safety profile of mepolIZumab was similar to that of placebo.
Related Papers (5)