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In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens
HIGHLIGHTS: What are the main findings? A peptide consisting of 20 amino acids was designed in silico as a grass pollen allergy vaccine. The epitope-based vaccine has been validated by molecular docking analysis and ex vivo T-cell stimulation assay. It covers more than 80% of the European and global...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660545/ https://www.ncbi.nlm.nih.gov/pubmed/37987298 http://dx.doi.org/10.3390/arm91060036 |
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author | Moten, Dzhemal Batsalova, Tsvetelina Apostolova, Desislava Mladenova, Tsvetelina Dzhambazov, Balik Teneva, Ivanka |
author_facet | Moten, Dzhemal Batsalova, Tsvetelina Apostolova, Desislava Mladenova, Tsvetelina Dzhambazov, Balik Teneva, Ivanka |
author_sort | Moten, Dzhemal |
collection | PubMed |
description | HIGHLIGHTS: What are the main findings? A peptide consisting of 20 amino acids was designed in silico as a grass pollen allergy vaccine. The epitope-based vaccine has been validated by molecular docking analysis and ex vivo T-cell stimulation assay. It covers more than 80% of the European and global population. What is the implication of the main finding? The immunogenic peptide can be used for treatment of patients with grass pollen allergy by triggering the T-cell response and production of competitive IgG antibodies. Additional studies are needed before the clinical application of the epitope-based vaccine for immunotherapy. ABSTRACT: Allergic diseases are a global public health problem that affects up to 30% of the population in industrialized societies. More than 40% of allergic patients suffer from grass pollen allergy. Grass pollen allergens of group 1 and group 5 are the major allergens, since they induce allergic reactions in patients at high rates. In this study, we used immunoinformatic approaches to design an effective epitope-based vaccine against the grass group 1 allergens. After the alignment of all known pollen T-cell and B-cell epitopes from pollen allergens available in the public databases, the epitope GTKSEVEDVIPEGWKADTSY was identified as the most suitable for further analyses. The target sequence was subjected to immunoinformatics analyses to predict antigenic T-cell and B-cell epitopes. Population coverage analysis was performed for CD8+ and CD4+ T-cell epitopes. The selected T-cell epitopes (VEDVIPEGW and TKSEVEDVIPEGWKA) covered 78.87% and 98.20% of the global population and 84.57% and 99.86% of the population of Europe. Selected CD8+, CD4+ T-cell and B-cell epitopes have been validated by molecular docking analysis. CD8+ and CD4+ T-cell epitopes showed a very strong binding affinity to major histocompatibility complex (MHC) class I (MHC I) molecules and MHC class II (MHC II) molecules with global energy scores of −72.1 kcal/mol and −89.59 kcal/mol, respectively. The human IgE-Fc (PDB ID 4J4P) showed a lower affinity with B-cell epitope (ΔG = −34.4 kcal/mol), while the Phl p 2-specific human IgE Fab (PDB ID 2VXQ) had the lowest binding with the B-cell epitope (ΔG = −29.9 kcal/mol). Our immunoinformatics results demonstrated that the peptide GTKSEVEDVIPEGWKADTSY could stimulate the immune system and we performed ex vivo tests showed that the investigated epitope activates T cells isolated from patients with grass pollen allergy, but it is not recognized by IgE antibodies specific for grass pollen allergens. This confirms the importance of such studies to establish universal epitopes to serve as a basis for developing an effective vaccine against a particular group of allergens. Further in vivo studies are needed to validate the effectiveness of such a vaccine against grass pollen allergens. |
format | Online Article Text |
id | pubmed-10660545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106605452023-11-08 In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens Moten, Dzhemal Batsalova, Tsvetelina Apostolova, Desislava Mladenova, Tsvetelina Dzhambazov, Balik Teneva, Ivanka Adv Respir Med Article HIGHLIGHTS: What are the main findings? A peptide consisting of 20 amino acids was designed in silico as a grass pollen allergy vaccine. The epitope-based vaccine has been validated by molecular docking analysis and ex vivo T-cell stimulation assay. It covers more than 80% of the European and global population. What is the implication of the main finding? The immunogenic peptide can be used for treatment of patients with grass pollen allergy by triggering the T-cell response and production of competitive IgG antibodies. Additional studies are needed before the clinical application of the epitope-based vaccine for immunotherapy. ABSTRACT: Allergic diseases are a global public health problem that affects up to 30% of the population in industrialized societies. More than 40% of allergic patients suffer from grass pollen allergy. Grass pollen allergens of group 1 and group 5 are the major allergens, since they induce allergic reactions in patients at high rates. In this study, we used immunoinformatic approaches to design an effective epitope-based vaccine against the grass group 1 allergens. After the alignment of all known pollen T-cell and B-cell epitopes from pollen allergens available in the public databases, the epitope GTKSEVEDVIPEGWKADTSY was identified as the most suitable for further analyses. The target sequence was subjected to immunoinformatics analyses to predict antigenic T-cell and B-cell epitopes. Population coverage analysis was performed for CD8+ and CD4+ T-cell epitopes. The selected T-cell epitopes (VEDVIPEGW and TKSEVEDVIPEGWKA) covered 78.87% and 98.20% of the global population and 84.57% and 99.86% of the population of Europe. Selected CD8+, CD4+ T-cell and B-cell epitopes have been validated by molecular docking analysis. CD8+ and CD4+ T-cell epitopes showed a very strong binding affinity to major histocompatibility complex (MHC) class I (MHC I) molecules and MHC class II (MHC II) molecules with global energy scores of −72.1 kcal/mol and −89.59 kcal/mol, respectively. The human IgE-Fc (PDB ID 4J4P) showed a lower affinity with B-cell epitope (ΔG = −34.4 kcal/mol), while the Phl p 2-specific human IgE Fab (PDB ID 2VXQ) had the lowest binding with the B-cell epitope (ΔG = −29.9 kcal/mol). Our immunoinformatics results demonstrated that the peptide GTKSEVEDVIPEGWKADTSY could stimulate the immune system and we performed ex vivo tests showed that the investigated epitope activates T cells isolated from patients with grass pollen allergy, but it is not recognized by IgE antibodies specific for grass pollen allergens. This confirms the importance of such studies to establish universal epitopes to serve as a basis for developing an effective vaccine against a particular group of allergens. Further in vivo studies are needed to validate the effectiveness of such a vaccine against grass pollen allergens. MDPI 2023-11-08 /pmc/articles/PMC10660545/ /pubmed/37987298 http://dx.doi.org/10.3390/arm91060036 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Moten, Dzhemal Batsalova, Tsvetelina Apostolova, Desislava Mladenova, Tsvetelina Dzhambazov, Balik Teneva, Ivanka In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens |
title | In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens |
title_full | In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens |
title_fullStr | In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens |
title_full_unstemmed | In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens |
title_short | In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens |
title_sort | in silico design of a new epitope-based vaccine against grass group 1 allergens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660545/ https://www.ncbi.nlm.nih.gov/pubmed/37987298 http://dx.doi.org/10.3390/arm91060036 |
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