ReviewAllergy, asthma & immunology research2024
Epigenetic Approaches to Identifying Asthma Endotypes.
Review in Allergy, asthma & immunology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed.
- Natural Products Targeting Airway Inflammation and Mucus Hypersecretion: Molecular Mechanisms and Therapeutic Potential for Respiratory Health.Nutrients · 2026Review
- From Airway Inflammation to Molecular Remodeling: Integrating YKL-40, MBL and Epigenetic Biomarkers in Asthma and COPD.Biomolecules · 2026Review
- Obesity, Air Pollution, and Epigenetic Modifications as Risk Factors for Asthma Phenotypes.International journal of molecular sciences · 2026Review
- Flavonoids as potential anti-asthmatic agents.Frontiers in immunology · 2026Review
- Associations of inflammatory burden index with the prevalence and mortality of asthma in adults: a population based study.Journal of thoracic disease · 2025Article
- Contribution of Pseudomonas aeruginosa - mediated club cell necroptosis to the bias of type 17 inflammation and steroid insensitivity in asthma.Journal of advanced research · 2025Article
- The Effect of Long-Term Exposure to OInternational journal of environmental research and public health · 2025Article
- CAR-NKT Cells in Asthma: Use of NKT as a Promising Cell for CAR Therapy.Clinical reviews in allergy & immunology · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of asthma escalated rapidly in the late 20th century. In 2019, the World Health Organization estimated the global number of people affected by the condition to be approximately 260 million, causing 450,000 deaths during that year. While there have been advances in therapeutics with the emergence of biologics targeting T2-high asthma, there is still little clarity on the mechanisms underlying the origins of both the condition and all of its endotypes. Several biomarkers for particular asthma phenotypes have been documented. These are generally identified from transcriptomics and proteomics protocols and tend to be biased to T2-high phenotypes. In this review, we summarize some suggestions that analysis of epigenomes may provide alternative datasets that inform of broader asthma endotypes and might highlight pathways amenable for therapeutic intervention.
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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.