ReviewClinical reviews in allergy & immunology2021
Resolving Clinical Phenotypes into Endotypes in Allergy: Molecular and Omics Approaches.
Review in Clinical reviews in allergy & immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Achieving Precision Medicine in Allergic Disease: Progress and Challenges.Frontiers in immunology · 2021Pooled it
- Cytokines and immunologic checkpoint molecules in predicting success of allergen immunotherapy.Scientific reports · 2026Article
- Developments in the Management Strategies for Allergy: Advances in Artificial Intelligence and Future Perspectives.Anti-inflammatory & anti-allergy agents in medicinal chemistry · 2026Review
- Effect of Xuanfei Tongqiao acupuncture on nasal inflammation in rats with allergic rhinitis: modulation of long non-coding RNA growth arrest-specific transcript 5 methylation modification.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Arterial stiffness and vascular aging: mechanisms, prevention, and therapy.Signal transduction and targeted therapy · 2025Review
- Molecular signatures that translate across omics layers and crops under high aluminium and low phosphorus stress facilitate the identification of reliable molecular targets for genotyping in lentil.Functional & integrative genomics · 2025Article
- Seasonal Proteomic Variations and Biomarkers in Seasonal Allergic Rhinitis: Insights from Olink Inflammation Profiling.Journal of inflammation research · 2025Article
- Quercetin inhibits ferroptosis through the SIRT1/Nrf2/HO-1 signaling pathway and alleviates asthma disease.Translational pediatrics · 2024Article
- Respiratory infection- and asthma-prone, low vaccine responder children demonstrate distinct mononuclear cell DNA methylation pathways.Clinical epigenetics · 2024Article
- Article
- Respiratory Infection- and Asthma-prone, Low Vaccine Responder Children Demonstrate Distinct Mononuclear Cell DNA Methylation Pathways.Research square · 2024Article
- Building digital patient pathways for the management and treatment of multiple sclerosis.Frontiers in immunology · 2024Review
- Looking beyond Self-Protection: The Eyes Instruct Systemic Immune Tolerance Early in Life.Brain sciences · 2023Article
- Genome-wide admixture and association analysis identifies African ancestry-specific risk loci of eosinophilic esophagitis in African Americans.The Journal of allergy and clinical immunology · 2023Article
- Leveraging genetic ancestry to study severe asthma exacerbations in an admixed population.Thorax · 2023Article
- Understanding human mast cells: lesson from therapies for allergic and non-allergic diseases.Nature reviews. Immunology · 2022Review
- A Framework for Augmented Intelligence in Allergy and Immunology Practice and Research-A Work Group Report of the AAAAI Health Informatics, Technology, and Education Committee.The journal of allergy and clinical immunology. In practice · 2022Article
- TThe Journal of allergy and clinical immunology · 2022Article
- A roadmap for multi-omics data integration using deep learning.Briefings in bioinformatics · 2022Review
- Multi-Omics Profiling Approach to Asthma: An Evolving Paradigm.Journal of personalized medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Allergic diseases are highly complex with respect to pathogenesis, inflammation, and response to treatment. Current efforts for allergic disease diagnosis have focused on clinical evidence as a binary outcome. Although outcome status based on clinical phenotypes (observable characteristics) is convenient and inexpensive to measure in large studies, it does not adequately provide insight into the complex molecular determinants of allergic disease. Individuals with similar clinical diagnoses do not necessarily have similar disease etiologies, natural histories, or responses to treatment. This heterogeneity contributes to the ineffective response to treatment leading to an annual estimated cost of $350 billion in the USA alone. There has been a recent focus to deconvolute the clinical heterogeneity of allergic diseases into specific endotypes using molecular and omics approaches. Endotypes are a means to classify patients based on the underlying pathophysiological mechanisms involving distinct functions or treatment response. The advent of high-throughput molecular omics, immunophenotyping, and bioinformatics methods including machine learning algorithms is facilitating the development of endotype-based diagnosis. As we move to the next decade, we should truly start treating clinical endotypes not clinical phenotype. This review highlights current efforts taking place to improve allergic disease endotyping via molecular omics profiling, immunophenotyping, and machine learning approaches in the context of precision diagnostics in allergic diseases. Graphical Abstract.
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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.