ReviewThe Journal of allergy and clinical immunology2019
Leveraging -omics for asthma endotyping.
Review in The Journal of allergy and clinical immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Plasma protein signatures of adult asthma.Allergy · 2024Pooled it
- Type 2-low Asthma: Epidemiology, Multiomics, and Emerging Therapies.Current allergy and asthma reports · 2026Review
- Artificial intelligence in atopic dermatitis: Current applications and future perspectives.Chinese medical journal · 2026Review
- Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Age-sex differences in the global burden of asthma and risk factors, 1990-2021: results from the global burden of disease study 2021.BMC pulmonary medicine · 2026Article
- Mesenchymal stem cell-derived exosomes: a new hope for improving asthma airway remodeling.Annals of medicine · 2025Review
- Association of Childhood Asthma with the Concept of Exposomics: A Short Review.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Why Every Asthma Patient Tells a Different Story.Journal of clinical medicine · 2025Article
- Molecular Study from the Signaling Pathways of Four PotentialInternational journal of molecular sciences · 2025Article
- Review
- Inflammatory and pulmonary function characteristics of bronchial asthma induced by COVID‑19 infection.Biomedical reports · 2025Article
- Metabolomics in Childhood Asthma - a Promising Tool to Meet Various Clinical Needs.Current allergy and asthma reports · 2025Review
- Letter to the Editor Regarding "Predicting Asthma Exacerbations Using Machine Learning Models".Advances in therapy · 2025Article
- Microbial influencers: the airway microbiome's role in asthma.The Journal of clinical investigation · 2025Review
- Sex differences in asthma: omics evidence and future directions.Frontiers in genetics · 2025Review
- A multi-omics Mendelian randomization identifies putatively causal genes and DNA methylation sites for asthma.The World Allergy Organization journal · 2024Article
- Epigenetic patient stratification via contrastive machine learning refines hallmark biomarkers in minoritized children with asthma.Research square · 2024Article
- Metabolomic-derived endotypes of age-related macular degeneration (AMD): a step towards identification of disease subgroups.Scientific reports · 2024Article
- Analytical challenges in omics research on asthma and allergy: A National Institute of Allergy and Infectious Diseases workshop.The Journal of allergy and clinical immunology · 2024Article
- Editorial: Multi-omics approaches in the study of human disease mechanisms.Frontiers in bioinformatics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Asthma is a highly heterogeneous disease, often manifesting with wheeze, dyspnea, chest tightness, and cough as prominent symptoms. The eliciting factors, natural history, underlying molecular biology, and clinical management of asthma vary highly among affected subjects. Because of this variation, many efforts have gone into subtyping asthma. Endotypes are subtypes of disease based on distinct pathophysiologic mechanisms. Endotypes can be clinically useful because they organize our mechanistic understanding of heterogeneous diseases and can direct treatment toward modalities that are likely to be the most effective. Asthma endotyping can be shaped by clinical features, laboratory parameters, and/or -omics approaches. We discuss the application of -omics approaches, including transcriptomics, epigenomics, microbiomics, metabolomics, and proteomics, to asthma endotyping. -Omics approaches have provided supporting evidence for many existing endotyping paradigms and also suggested novel ways to conceptualize asthma endotypes. Although endotypes based on single -omics approaches are relatively common, their integrated multi-omics application to asthma endotyping has been more limited thus far. We discuss paths forward to integrate multi-omics with clinical features and laboratory parameters to achieve the goal of precise asthma endotypes.
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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.