ArticleAmerican journal of respiratory and critical care medicine2015
Noninvasive analysis of the sputum transcriptome discriminates clinical phenotypes of asthma.
Article in American journal of respiratory and critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sex-biased Gene Expression Underlies Immune Dysfunction in Asthma.American journal of respiratory cell and molecular biology · 2025Pooled it
- Activated sputum eosinophils associated with exacerbations in children on mepolizumab.The Journal of allergy and clinical immunology · 2024Trial
- Profiling cellular heterogeneity in asthma with single cell multiparameter CyTOF.Journal of leukocyte biology · 2020Trial
- Cross-Cohort Transcriptomic Prioritization and Chemical-Provenance Assessment of Asthma Airway-Brushing Genes Overlapping HERB-AnnotatedInternational journal of molecular sciences · 2026Article
- Integrated molecular networks reveal latent components distinguishing type 2-high and type 2-low asthma.BMJ open respiratory research · 2026Article
- S100P mediates IL-13/ATF4-driven epithelial barrier dysfunction in eosinophilic asthma: a potential biomarker and therapeutic target.Journal of translational medicine · 2026Article
- Five tenets for advancing evidence-based precision medicine.Nature medicine · 2026Review
- Next Decade Research in Asthma: Broad Omics-Based Exploration Versus Targeted Airway Epithelium Studies.Journal of clinical medicine · 2025Review
- Chronic rhinosinusitis with nasal polyps and allergic rhinitis as different multimorbid treatable traits in asthma.The journal of allergy and clinical immunology. Global · 2023Article
- Asthma Phenotypes in the Era of Personalized Medicine.Journal of clinical medicine · 2023Review
- Transcriptomic responses in the blood and sputum of cigarette smokers compared to e-cigarette vapers.Respiratory research · 2023Article
- Functional immunophenotyping of children with critical status asthmaticus identifies differential gene expression responses in neutrophils exposed to a poly(I:C) stimulus.Scientific reports · 2022Observational
- The new era of add-on asthma treatments: where do we stand?Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2022Review
- Association of increased basic salivary proline-rich protein 1 levels in induced sputum with type 2-high asthma.Immunity, inflammation and disease · 2022Article
- Subtyping children with asthma by clustering analysis of mRNA expression data.Frontiers in genetics · 2022Article
- SPLUNC1: a novel marker of cystic fibrosis exacerbations.The European respiratory journal · 2021Article
- Repetitive aeroallergen challenges elucidate maladaptive epithelial and inflammatory traits that underpin allergic airway diseases.The Journal of allergy and clinical immunology · 2021Observational
- Regulation of immune responses by the airway epithelial cell landscape.Nature reviews. Immunology · 2021Review
- Single-cell characterization of a model of poly I:C-stimulated peripheral blood mononuclear cells in severe asthma.Respiratory research · 2021Article
- Role of nuclear factor of activated T cells 2 (NFATc2) in allergic asthma.Immunity, inflammation and disease · 2020Article
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19 authors.
Funding
Abstract
rationaleThe airway transcriptome includes genes that contribute to the pathophysiologic heterogeneity seen in individuals with asthma.
objectivesWe analyzed sputum gene expression for transcriptomic endotypes of asthma (TEA), gene signatures that discriminate phenotypes of disease.
methodsGene expression in the sputum and blood of patients with asthma was measured using Affymetrix microarrays. Unsupervised clustering analysis based on pathways from the Kyoto Encyclopedia of Genes and Genomes was used to identify TEA clusters. Logistic regression analysis of matched blood samples defined an expression profile in the circulation to determine the TEA cluster assignment in a cohort of children with asthma to replicate clinical phenotypes. MEASUREMENTS AND MAIN
resultsThree TEA clusters were identified. TEA cluster 1 had the most subjects with a history of intubation (P = 0.05), a lower prebronchodilator FEV1 (P = 0.006), a higher bronchodilator response (P = 0.03), and higher exhaled nitric oxide levels (P = 0.04) compared with the other TEA clusters. TEA cluster 2, the smallest cluster, had the most subjects that were hospitalized for asthma (P = 0.04). TEA cluster 3, the largest cluster, had normal lung function, low exhaled nitric oxide levels, and lower inhaled steroid requirements. Evaluation of TEA clusters in children confirmed that TEA clusters 1 and 2 are associated with a history of intubation (P = 5.58 × 10(-6)) and hospitalization (P = 0.01), respectively.
conclusionsThere are common patterns of gene expression in the sputum and blood of children and adults that are associated with near-fatal, severe, and milder asthma.
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