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Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches

Allergic diseases are a socially significant problem of global importance. The number of people suffering from pollen allergies has increased dramatically in recent decades. Pollen allergies affect up to 30% of the world population. Pollen of the common ragweed (Ambrosia artemisiifolia L.) is one of...

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Autores principales: Moten, Dzhemal, Kolchakova, Desislava, Todorov, Krasimir, Mladenova, Tsvetelina, Dzhambazov, Balik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972712/
https://www.ncbi.nlm.nih.gov/pubmed/35362839
http://dx.doi.org/10.1007/s10930-022-10050-z
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author Moten, Dzhemal
Kolchakova, Desislava
Todorov, Krasimir
Mladenova, Tsvetelina
Dzhambazov, Balik
author_facet Moten, Dzhemal
Kolchakova, Desislava
Todorov, Krasimir
Mladenova, Tsvetelina
Dzhambazov, Balik
author_sort Moten, Dzhemal
collection PubMed
description Allergic diseases are a socially significant problem of global importance. The number of people suffering from pollen allergies has increased dramatically in recent decades. Pollen allergies affect up to 30% of the world population. Pollen of the common ragweed (Ambrosia artemisiifolia L.) is one of the most aggressive allergens in the world. We have used a series of immunoinformatics approaches to design an effective epitope-based vaccine, which might induce a competent immunity against a major allergen Amb a 11. CD8+ and CD4+ T-cell epitopes and their corresponding MHC restricted alleles were identified by prediction tools provided by immune epitope database (IEDB). Among T-cell epitopes, MHC class I peptide (GLMEPAFTYV) and MHC class II peptide (LVCFSFSLVLILGLV) were identified as most suitable. From all predicted B-cell epitopes, only one epitope (GKLVKFSEQQLVDC) containing sequence from the conserved region was chosen for next processing. Selected epitopes have been validated by molecular docking analysis. These epitopes showed a very strong binding affinity to MHC I molecule and MHC II molecule with binding energy scores − 729.3 and − 725.0 kcal/mole respectively. Performed experimental validation showed that only the MHC class II peptide (LVCFSFSLVLILGLV) can stimulate T cells from ragweed allergic patients and IgE antibodies specific to the ragweed pollen do not recognize this epitope. Therefore, this peptide could be potentially used as a vaccine against the major allergen Amb a 11. The B-cell epitope GKLVKFSEQQLVDC forms a stable complex with the IgE molecule (energy weighted score − 695,0 kcal/mole). Tested sera from patients with ragweed allergy showed that the ragweed specific IgE antibodies can bind to the identified B-cell epitope. Population coverage analysis was performed for CD8+ and CD4+ T-cell epitopes. It was predicted that CD4+ T-cell epitope (LVCFSFSLVLILGLV) covers 90.56% of the population of Europe and 99.36% of the world population. CD8+ T-cell epitope (GLMEPAFTYV) has a population coverage of 77.37% for Europe and 71.35% for all the world.
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spelling pubmed-89727122022-04-01 Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches Moten, Dzhemal Kolchakova, Desislava Todorov, Krasimir Mladenova, Tsvetelina Dzhambazov, Balik Protein J Article Allergic diseases are a socially significant problem of global importance. The number of people suffering from pollen allergies has increased dramatically in recent decades. Pollen allergies affect up to 30% of the world population. Pollen of the common ragweed (Ambrosia artemisiifolia L.) is one of the most aggressive allergens in the world. We have used a series of immunoinformatics approaches to design an effective epitope-based vaccine, which might induce a competent immunity against a major allergen Amb a 11. CD8+ and CD4+ T-cell epitopes and their corresponding MHC restricted alleles were identified by prediction tools provided by immune epitope database (IEDB). Among T-cell epitopes, MHC class I peptide (GLMEPAFTYV) and MHC class II peptide (LVCFSFSLVLILGLV) were identified as most suitable. From all predicted B-cell epitopes, only one epitope (GKLVKFSEQQLVDC) containing sequence from the conserved region was chosen for next processing. Selected epitopes have been validated by molecular docking analysis. These epitopes showed a very strong binding affinity to MHC I molecule and MHC II molecule with binding energy scores − 729.3 and − 725.0 kcal/mole respectively. Performed experimental validation showed that only the MHC class II peptide (LVCFSFSLVLILGLV) can stimulate T cells from ragweed allergic patients and IgE antibodies specific to the ragweed pollen do not recognize this epitope. Therefore, this peptide could be potentially used as a vaccine against the major allergen Amb a 11. The B-cell epitope GKLVKFSEQQLVDC forms a stable complex with the IgE molecule (energy weighted score − 695,0 kcal/mole). Tested sera from patients with ragweed allergy showed that the ragweed specific IgE antibodies can bind to the identified B-cell epitope. Population coverage analysis was performed for CD8+ and CD4+ T-cell epitopes. It was predicted that CD4+ T-cell epitope (LVCFSFSLVLILGLV) covers 90.56% of the population of Europe and 99.36% of the world population. CD8+ T-cell epitope (GLMEPAFTYV) has a population coverage of 77.37% for Europe and 71.35% for all the world. Springer US 2022-04-01 2022 /pmc/articles/PMC8972712/ /pubmed/35362839 http://dx.doi.org/10.1007/s10930-022-10050-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Moten, Dzhemal
Kolchakova, Desislava
Todorov, Krasimir
Mladenova, Tsvetelina
Dzhambazov, Balik
Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches
title Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches
title_full Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches
title_fullStr Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches
title_full_unstemmed Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches
title_short Design of an Epitope-Based Peptide Vaccine Against the Major Allergen Amb a 11 Using Immunoinformatic Approaches
title_sort design of an epitope-based peptide vaccine against the major allergen amb a 11 using immunoinformatic approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972712/
https://www.ncbi.nlm.nih.gov/pubmed/35362839
http://dx.doi.org/10.1007/s10930-022-10050-z
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