ArticleGenome medicine2014
Asthmatics with exacerbation during acute respiratory illness exhibit unique transcriptional signatures within the nasal mucosa.
Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 136 citations in OpenAlex.
- Identification of immune-associated biomarkers in diagnosing allergic rhinitis.The World Allergy Organization journal · 2025Article
- Dysregulated Notch Signaling in the Airway Epithelium of Children with Wheeze.Journal of personalized medicine · 2021Article
- Bioinformatics Analysis and Identification of Underlying Biomarkers Potentially Linking Allergic Rhinitis and Asthma.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Aberrant cell migration contributes to defective airway epithelial repair in childhood wheeze.JCI insight · 2020Article
- Article
- Gene expression ofClinical and translational allergy · 2019Article
- A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data.Scientific reports · 2018Article
- Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome.Genome biology · 2017Article
- Gene Expression Profiling in Blood Provides Reproducible Molecular Insights into Asthma Control.American journal of respiratory and critical care medicine · 2017Article
- Airway molecular endotypes of asthma: dissecting the heterogeneity.Current opinion in allergy and clinical immunology · 2015Review
- Human rhinovirus infection causes different DNA methylation changes in nasal epithelial cells from healthy and asthmatic subjects.BMC medical genomics · 2014Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAcute respiratory illness is the leading cause of asthma exacerbations yet the mechanisms underlying this association remain unclear. To address the deficiencies in our understanding of the molecular events characterizing acute respiratory illness-induced asthma exacerbations, we undertook a transcriptional profiling study of the nasal mucosa over the course of acute respiratory illness amongst individuals with a history of asthma, allergic rhinitis and no underlying respiratory disease.
methodsTranscriptional profiling experiments were performed using the Agilent Whole Human Genome 4X44K array platform. Time point-based microarray and principal component analyses were conducted to identify and distinguish acute respiratory illness-associated transcriptional profiles over the course of our study. Gene enrichment analysis was conducted to identify biological processes over-represented within each acute respiratory illness-associated profile, and gene expression was subsequently confirmed by quantitative polymerase chain reaction.
resultsWe found that acute respiratory illness is characterized by dynamic, time-specific transcriptional profiles whose magnitudes of expression are influenced by underlying respiratory disease and the mucosal repair signature evoked during acute respiratory illness. Most strikingly, we report that people with asthma who experience acute respiratory illness-induced exacerbations are characterized by a reduced but prolonged inflammatory immune response, inadequate activation of mucosal repair, and the expression of a newly described exacerbation-specific transcriptional signature.
conclusionFindings from our study represent a significant contribution towards clarifying the complex molecular interactions that typify acute respiratory illness-induced asthma exacerbations.
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