ArticleThe Journal of allergy and clinical immunology2016
Gene expression profiling of asthma phenotypes demonstrates molecular signatures of atopy and asthma control.
Article in The Journal of allergy and clinical immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06385236 (Leveraging Pharmacogenomics in Asthma for Predication, Mechanism and Endotyping), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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.
Leveraging Pharmacogenomics in Asthma for Predication, Mechanism and Endotyping
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Epigenetics of obstructive sleep apnea syndrome: a systematic review.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021Pooled it
- Systems Biology and Multi-Omics in Asthma and COPD: A Systematic Review of Computational Approaches (2010-2024).Journal of asthma and allergy · 2026Review
- MiR-186-5p inhibition restores synaptic transmission and neuronal network activity in a model of chronic stress.Molecular psychiatry · 2025Article
- Neuroprotective protein ADNP-dependent histone remodeling complex promotes T helper 2 immune cell differentiation.Immunity · 2023Article
- Epigenome-Wide Association Studies of the Fractional Exhaled Nitric Oxide and Bronchodilator Drug Response in Moderate-to-Severe Pediatric Asthma.Biomedicines · 2023Article
- Article
- Timing of Blood Sample Processing Affects the Transcriptomic and Epigenomic Profiles in CD4Cells · 2022Article
- Metabo-Endotypes of Asthma Reveal Differences in Lung Function: Discovery and Validation in Two TOPMed Cohorts.American journal of respiratory and critical care medicine · 2022Article
- Microbiome Research and Multi-Omics Integration for Personalized Medicine in Asthma.Journal of personalized medicine · 2021Review
- Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.Cell reports · 2021Article
- Immune-mediated genetic pathways resulting in pulmonary function impairment increase lung cancer susceptibility.Nature communications · 2020Article
- Leveraging -omics for asthma endotyping.The Journal of allergy and clinical immunology · 2019Review
- Transcriptomics of atopy and atopic asthma in white blood cells from children and adolescents.The European respiratory journal · 2019Article
- Korean childhood asthma study (KAS): a prospective, observational cohort of Korean asthmatic children.BMC pulmonary medicine · 2019Article
- Recent advances in understanding chronic rhinosinusitis endotypes.F1000Research · 2018Review
- The puzzle of immune phenotypes of childhood asthma.Molecular and cellular pediatrics · 2016Review
- Personalized management of asthma exacerbations: lessons from genetic studies.Expert review of precision medicine and drug development · 2016Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundRecent studies have used cluster analysis to identify phenotypic clusters of asthma with differences in clinical traits, as well as differences in response to therapy with anti-inflammatory medications. However, the correspondence between different phenotypic clusters and differences in the underlying molecular mechanisms of asthma pathogenesis remains unclear.
objectiveWe sought to determine whether clinical differences among children with asthma in different phenotypic clusters corresponded to differences in levels of gene expression.
methodsWe explored differences in gene expression profiles of CD4(+) lymphocytes isolated from the peripheral blood of 299 young adult participants in the Childhood Asthma Management Program study. We obtained gene expression profiles from study subjects between 9 and 14 years of age after they participated in a randomized, controlled longitudinal study examining the effects of inhaled anti-inflammatory medications over a 48-month study period, and we evaluated the correspondence between our earlier phenotypic cluster analysis and subsequent follow-up clinical and molecular profiles.
resultsWe found that differences in clinical characteristics observed between subjects assigned to different phenotypic clusters persisted into young adulthood and that these clinical differences were associated with differences in gene expression patterns between subjects in different clusters. We identified a subset of genes associated with atopic status, validated the presence of an atopic signature among these genes in an independent cohort of asthmatic subjects, and identified the presence of common transcription factor binding sites corresponding to glucocorticoid receptor binding.
conclusionThese findings suggest that phenotypic clusters are associated with differences in the underlying pathobiology of asthma. Further experiments are necessary to confirm these findings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.