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Updated: Dec 7, 2025

Humanized Mediator Release Assay as a Read-Out for Allergen Potency
Published on: June 29, 2021
Predicting Success of Allergen-Specific Immunotherapy
Ulrich M Zissler1, Carsten B Schmidt-Weber1
1Center of Allergy and Environment (ZAUM), Technical University and Helmholtz Center Munich, Member of the German Center of Lung Research (DZL), and Member of the Helmholtz I&I Initiative, Munich, Germany.
Allergen immunotherapy (AIT) modifies allergic diseases by inducing immune tolerance. Combinations of gene expression levels show promise for predicting AIT success and identifying biomarkers.
Area of Science:
- Immunology
- Allergy Research
- Immunotherapy
Background:
- Immunological tolerance is crucial for therapeutic interventions but not fully understood.
- Allergen immunotherapy (AIT) treats IgE-mediated airway diseases like allergic rhinitis and asthma.
- AIT offers specific, long-lasting symptom reduction and potential asthma prevention.
Purpose of the Study:
- To understand the mechanisms of AIT and identify therapy-guiding biomarkers.
- To explore the roles of cellular interactions (T, B, dendritic cells, macrophages, epithelial cells) in clinical tolerance.
- To investigate cellular responses and cytokine patterns for monitoring AIT progress.
Main Methods:
- Analysis of cellular responses and cytokine patterns during AIT.
- Assessment of type-2 immunity mediators (CCL-26, IL-4, IL-13) and type-1 mediators (interferon-gamma).
- Evaluation of tissue-homeostating factors like indoleamine 2,3-dioxygenase (IDO).
Main Results:
- Clinical improvement in AIT correlates with decreased effector cells and type-2 mediators.
- Increased type-1 mediators and IDO expression are associated with immune tolerance.
- Individual gene expression levels do not predict AIT outcomes on an individual level.
Conclusions:
- Monitoring cellular and cytokine changes provides insight into AIT mechanisms.
- Combinations or ratios of gene expression levels are promising for predictive biomarkers in AIT.
- Further research is needed to develop reliable biomarkers for personalized AIT.
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