ReviewAnnals of the American Thoracic Society2013
How variability in clinical phenotypes should guide research into disease mechanisms in asthma.
Review in Annals of the American Thoracic Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities.Frontiers in pediatrics · 2024Review
- CD8European respiratory review : an official journal of the European Respiratory Society · 2019Review
- Evaluation of Neutrophil Activation Status According to the Phenotypes of Adult Asthma.Allergy, asthma & immunology research · 2019Article
- Considerations for Adapting Pre-existing Mechanistic Quantitative Systems Pharmacology Models for New Research Contexts.Frontiers in pharmacology · 2019Article
- Severe uncontrolled asthma with bronchiectasis: a pilot study of an emerging phenotype that responds to mepolizumab.Journal of asthma and allergy · 2019Article
- Evolution of ARDS biomarkers: Will metabolomics be the answer?American journal of physiology. Lung cellular and molecular physiology · 2018Review
- Research highlights from the 2017 ERS International Congress: airway diseases in focus.ERJ open research · 2018Review
- Having concomitant asthma phenotypes is common and independently relates to poor lung function in NHANES 2007-2012.Clinical and translational allergy · 2018Article
- Personalised medicine in asthma: time for action: Number 1 in the Series "Personalised medicine in respiratory diseases" Edited by Renaud Louis and Nicolas Roche.European respiratory review : an official journal of the European Respiratory Society · 2017Review
- Syk Regulates Neutrophilic Airway Hyper-Responsiveness in a Chronic Mouse Model of Allergic Airways Inflammation.PloS one · 2017Article
- Resolving the etiology of atopic disorders by using genetic analysis of racial ancestry.The Journal of allergy and clinical immunology · 2016Review
- The tyrosine kinase inhibitor dasatinib reduces lung inflammation and remodelling in experimental allergic asthma.British journal of pharmacology · 2016Article
- Targeted anti-inflammatory therapeutics in asthma and chronic obstructive lung disease.Translational research : the journal of laboratory and clinical medicine · 2016Review
- Measuring the corticosteroid responsiveness endophenotype in asthmatic patients.The Journal of allergy and clinical immunology · 2015Article
- The respiratory microbiome and innate immunity in asthma.Current opinion in pulmonary medicine · 2015Review
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Asthma is increasingly being considered as a collection of different phenotypes that present with intermittent wheezing. Unbiased approaches to classifying asthma have led to the identification of distinct phenotypes based on age of onset of disease, atopic state, disease severity or activity, degree of chronic airflow obstruction, and sputum eosinophilia. Linking phenotypes to known disease mechanism is likely to be more fruitful in determining the potential targets necessary for successful therapies of specific endotypes. A "Th2-high expression" signature from the epithelium of patients with asthma identifies a subset of patients with high eosinophilia and good therapeutic responsiveness to corticosteroids. Other characteristic traits of asthma include noneosinophilic asthma, corticosteroid insensitivity, obesity-associated, and exacerbation-prone. Further progress into asthma mechanisms will be driven by unbiased data integration of multiscale data sets from omics technologies with those phenotypic characteristics and by using mathematical modeling. This will lead to the discovery of new pathways and their integration into endotypes and also set up further hypothesis-driven research. Continued iteration through experimentation or modeling will be needed to refine the phenotypes that relate to outcomes and also delineate specific treatments for specific phenotypes.
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Registered trials
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