Current methods for detection and diagnosis of allergies do not provide epitope specific immunogenic information and hence lack critical information that could aid in the prediction of clinical responses. To address this issue, we developed a nanoparticle based platform, called nanoallergens that enable multivalent display of potential allergy epitopes for determining the immunogenicity of each IgE binding epitope. By synthesizing nanoallergens that present various epitopes from the major peanut allergen, Ara h2, we directly determined the immunogenicity of each epitope, alone and in combination with other epitopes, using patient sera. This information provided insights on which epitopes are most critical for physiological responses to Ara h2 and revealed the importance of both high and low affinity epitopes for allergic responses. We anticipate the nanoallergen platform to be used to provide information regarding allergic reactions and therefore potentially aid in more accurate diagnosis and design of personalized treatment options.
Determination of Crucial Immunogenic Epitopes in Major Peanut Allergy Protein, Ara h2, via Novel Nanoallergen Platform
Creators
Peter E. Deak - Drexel University, Chemical and Biological Engineering
Maura R. Vrabel - University of Notre Dame
Tanyel Kiziltepe - University of Notre Dame
Basar Bilgicer (Corresponding Author) - University of Notre Dame
Publication Details
Scientific reports, v 7(1), p3981
Publisher
Springer Nature
Number of pages
13
Grant note
R01AI108884 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
R01AI108884 / NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID)
1263713 / Directorate For Engineering; National Science Foundation (NSF); NSF - Directorate for Engineering (ENG)
Resource Type
Journal article
Language
English
Academic Unit
Chemical and Biological Engineering
Web of Science ID
WOS:000403840000053
Scopus ID
2-s2.0-85021244150
Other Identifier
991019376908404721
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