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Updated: May 31, 2025

Humanized Mediator Release Assay as a Read-Out for Allergen Potency
Published on: June 29, 2021
Molecular allergy diagnosis enabling personalized medicine
Paolo Maria Matricardi1, Marianne van Hage2, Adnan Custovic3
1Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Institute of Allergology, Charité-Universitätsmedizin Berlin, Berlin, Germany; Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany.
Molecular allergy diagnosis precisely maps individual IgE sensitization profiles, advancing precision medicine in allergology. This approach refines allergen-specific immunotherapy and predicts allergic disease severity.
Area of Science:
- Allergo-immunology
- Precision Medicine
- Biotechnology
Background:
- Allergic diseases present diverse phenotypes driven by patient-specific IgE sensitization profiles.
- Molecular allergy diagnosis analyzes IgE reactivity at the molecular allergen level, enabling personalized treatment strategies.
Purpose of the Study:
- To highlight the evolution and impact of molecular allergy diagnosis in precision medicine.
- To underscore the utility of recombinant allergens in defining IgE reactivity for improved clinical outcomes.
Main Methods:
- Utilizing allergen microarrays for assessing complex IgE sensitization patterns.
- Employing recombinant allergens to define precise IgE reactivity profiles.
- Analyzing molecular IgE sensitization patterns to predict disease severity and phenotypes.
Main Results:
- Established molecular IgE sensitization patterns correlate with severe respiratory and food allergies.
- Identified specific patterns linked to allergies against honeybee and vespids.
- Demonstrated the role of molecular diagnostics in differentiating co- and cross-sensitization.
Conclusions:
- Molecular allergy diagnosis is pivotal for personalized immunotherapy and allergen avoidance.
- Implementation requires medical education and decision support systems, potentially using AI.
- This diagnostic approach transforms allergology towards precision medicine.
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