ReviewMucosal immunology2018
Antigen-specific regulatory T-cell responses against aeroantigens and their role in allergy.
Review in Mucosal immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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
11 citing papers in PubMed.
- Updates on Immunologic Responses to Aeroallergen Immunotherapy Since the 2011 US Practice Parameters on Allergen Immunotherapy.Current allergy and asthma reports · 2026Review
- Repertoire-based mapping and time-tracking of T helper cell subsets in scRNA-Seq.Frontiers in immunology · 2025Article
- Microbial Dysbiosis Tunes the Immune Response Towards Allergic Disease Outcomes.Clinical reviews in allergy & immunology · 2023Review
- Analysis of Circulating Food Antigen-Specific T-Cells in Celiac Disease and Inflammatory Bowel Disease.International journal of molecular sciences · 2023Article
- Antigen specificity and cross-reactivity drive functionally diverse anti-Aspergillus fumigatus T cell responses in cystic fibrosis.The Journal of clinical investigation · 2023Article
- Epithelial cell-derived CD83 restores immune tolerance in the airway mucosa by inducing regulatory T-cell differentiation.Immunology · 2021Article
- Ssu72 Dual-Specific Protein Phosphatase: From Gene to Diseases.International journal of molecular sciences · 2021Review
- Innovative Systems to Deliver Allergen Powder for Epicutaneous Immunotherapy.Frontiers in immunology · 2021Review
- Functionally specialized human CD4eLife · 2020Article
- Nucleic Acid-Based Approaches for Tumor Therapy.Cells · 2020Review
- Review
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mucosal immune system of the respiratory tract is specialized to continuously monitor the external environment and to protect against invading pathogens, while maintaining tolerance to innocuous inhaled particles. Allergies result from a loss of tolerance against harmless antigens characterized by formation of allergen-specific Th2 cells and IgE. Tolerance is often described as a balance between harmful Th2 cells and various types of protective "regulatory" T cells. However, the identity of the protective T cells in healthy vs. allergic individuals or following successful allergen-specific therapy is controversially discussed. Recent technological progress enabling the identification of antigen-specific effector and regulatory T cells has significantly contributed to our understanding of tolerance. Here we discuss the experimental evidence for the various tolerance mechanisms described. We try to integrate the partially contradictory data into a new model proposing different mechanism of tolerance depending on the quality and quantity of the antigens as well as the way of antigen exposure. Understanding the basis of tolerance is essential for the rational design of novel and more efficient immunotherapies.
Indexed as
Identifiers
29858582What OpenQuestion holds
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.