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Projects / Programmes source: ARIS

A novel therapeutic strategy for allergic diseases based on epitope-paratope blocking

Research activity

Code Science Field Subfield
3.01.00  Medical sciences  Microbiology and immunology   

Code Science Field
3.01  Medical and Health Sciences  Basic medicine 
Keywords
Ara h 2,Ves v 5, specific IgE, epitopes, paratopes, peptides, ImmunoCAP inhibition, basophil activation test, mast cell activation test, peptide microarray,peanut allergy, wasp-venom allergy
Evaluation (metodology)
source: COBISS
Points
3,500.02
A''
859.37
A'
1,972.38
A1/2
2,505.37
CI10
6,706
CImax
767
h10
40
A1
12.9
A3
1.14
Data for the last 5 years (citations for the last 10 years) on October 15, 2025; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  321  6,318  5,634  17.55 
Scopus  259  7,151  6,455  24.92 
Organisations (2) , Researchers (12)
1613  University Clinic of Respiratory and Allergic Diseases
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  25169  PhD Urška Bidovec Stojkovič  Microbiology and immunology  Researcher  2023 - 2025  126 
2.  51978  PhD Jerneja Debeljak  Microbiology and immunology  Researcher  2023 - 2025  26 
3.  56324  Luka Dejanović  Microbiology and immunology  Researcher  2023 - 2025  13 
4.  34101  PhD Ana Koren  Microbiology and immunology  Researcher  2023 - 2025  98 
5.  22807  PhD Peter Korošec  Microbiology and immunology  Head  2023 - 2025  773 
6.  53182  Gregor Ostanek  Interdisciplinary research  Researcher  2023 - 2025 
0787  University of Ljubljana, Faculty of Pharmacy
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  23598  PhD Tomaž Bratkovič  Pharmacy  Researcher  2023 - 2025  257 
2.  59468  Zala Celan    Technical associate  2024 - 2025 
3.  25096  PhD Mojca Lunder  Pharmacy  Researcher  2023 - 2025  267 
4.  53777  Mateja Matjaž    Technical associate  2023 - 2025 
5.  19170  PhD Urša Pečar Fonović  Pharmacy  Researcher  2023 - 2025  157 
6.  51651  PhD Tina Vida Plavec  Biotechnology  Researcher  2023  62 
Abstract
Food allergies are a growing food safety and public health concern that affect up to 8% of children globally, including in Slovenia. That's 1 in 13 children or about 2 students per classroom. Currently, there is no approved drug for treating food allergy and anaphylaxis, nor is there any therapeutic approach to prevent food sensitization, highlighting the critical need for the development of effective primary prevention strategies for food allergy. Strict avoidance of the food allergen is currently the only way to prevent a reaction. Clinical and experimental analyses indicate a pathognomonic role for antigen-induced cross-linking of mast cell-associated lgE leading to rapid mast cell degranulation and release of preformed mediators and enzymes that drive the clinical manifestations associated with food-triggered anaphylaxis. We recently performed biopanning of phage display libraries with anti-peanut lgE's followed by screening and IgE binding experiments. We selected and identified three unique lgE-epitope-like peptides (DHPRFNRDNDVA, DHPRYGP, and DHPRFST) of major peanut allergen Ara h 2. Alignment of these lgE-epitope-like peptides showed overlapping with primary Ara h 2 sequence, indicating that these regions could represent the epitopes of Ara h 2. Immunoblot analyses revealed that the lgE-epitope-like peptides bind to lgE from peanut-allergic individuals. Furthermore, employing Basophil activation assay (BAT), we show that lgE-epitope-like peptides blocked Ara h 2-induced human basophil activation (surface CD63 expression). Given these striking datasets, we hypothesize that synthetic lgE epitope-like peptides can suppress lgE-dependent mast cell activation and suppress lgE-mediated food allergy and anaphylaxis. We plan to test our central hypothesis and accomplish the objectives of this application by pursuing the following specific aims: Aim #1. To assess whether our synthetic lgE-epitope-like peptides can compete and block the binding of Ara h 2 peanut allergen to IgEs paratopes in quantitative ImmunoCAP inhibition assays. Aim #2. To assess our synthetic lgE-epitope-like peptides efficacy in suppression of lgE-mast cell activation (by epitope-paratope blocking) and induction of peanut-induced anaphylaxis in humanized mast cellular model systems. Aim #3. (1) To develop, design, synthesize, and screen a new generation peanut-specific synthetic lgE-epitope-like peptides to optimize for potency, specificity, and drug-like properties (lead optimization) by a bioinformatic approach and using peptide microarray immunoassay; (2) Evaluate the peptide profile of individual peanut-allergic patients and select the most desirable peptide candidates; and (3) demonstrate that these personalized selections of peptides more efficiently suppress lgE-mediated reactions in humanized mast cellular model systems. Validation: For validation of this early-phase proof-of-principle project and applicable protocol for identifying various epitope (peptide) paratope (IgE) interaction, we will select another completely different allergen source, namely major wasp venom allergen Ves v 5. Thus for wasp venom allergen Ves v 5 we will perform biopanning, screening, IgE binding, selection, and mapping of peptides (on a limited scale). We will then generate wasp venom-specific synthetic lgE epitope-like peptides and try to confirm, that also for other allergen sources, peptides can bind to allergen-specific IgE paratopes and suppress effector cell activation.
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