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Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus
Epstein-Barr virus (EBV) is a lymphotropic virus responsible for numerous epithelial and lymphoid cell malignancies, including gastric carcinoma, Hodgkin’s lymphoma, nasopharyngeal carcinoma, and Burkitt lymphoma. Hundreds of thousands of people worldwide get infected with this virus, and in most ca...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603631/ https://www.ncbi.nlm.nih.gov/pubmed/36094198 http://dx.doi.org/10.1128/spectrum.01151-22 |
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author | Moin, Abu Tayab Patil, Rajesh B. Tabassum, Tahani Araf, Yusha Ullah, Md. Asad Snigdha, Hafsa Jarin Alam, Tawfiq Alvey, Safwan Araf Rudra, Bashudev Mina, Sohana Akter Akter, Yasmin Zhai, Jingbo Zheng, Chunfu |
author_facet | Moin, Abu Tayab Patil, Rajesh B. Tabassum, Tahani Araf, Yusha Ullah, Md. Asad Snigdha, Hafsa Jarin Alam, Tawfiq Alvey, Safwan Araf Rudra, Bashudev Mina, Sohana Akter Akter, Yasmin Zhai, Jingbo Zheng, Chunfu |
author_sort | Moin, Abu Tayab |
collection | PubMed |
description | Epstein-Barr virus (EBV) is a lymphotropic virus responsible for numerous epithelial and lymphoid cell malignancies, including gastric carcinoma, Hodgkin’s lymphoma, nasopharyngeal carcinoma, and Burkitt lymphoma. Hundreds of thousands of people worldwide get infected with this virus, and in most cases, this viral infection leads to cancer. Although researchers are trying to develop potential vaccines and drug therapeutics, there is still no effective vaccine to combat this virus. In this study, the immunoinformatics approach was utilized to develop a potential multiepitope subunit vaccine against the two most common subtypes of EBV, targeting three of their virulent envelope glycoproteins. Eleven cytotoxic T lymphocyte (CTL) epitopes, 11 helper T lymphocyte (HTL) epitopes, and 10 B-cell lymphocyte (BCL) epitopes were predicted to be antigenic, nonallergenic, nontoxic, and fully conserved among the two subtypes, and nonhuman homologs were used for constructing the vaccine after much analysis. Later, further validation experiments, including molecular docking with different immune receptors (e.g., Toll-like receptors [TLRs]), molecular dynamics simulation analyses (including root means square deviation [RMSD], root mean square fluctuation [RMSF], radius of gyration [Rg], principal-component analysis [PCA], dynamic cross-correlation [DCC], definition of the secondary structure of proteins [DSSP], and Molecular Mechanics Poisson-Boltzmann Surface Area [MM-PBSA]), and immune simulation analyses generated promising results, ensuring the safe and stable response of the vaccine with specific immune receptors after potential administration within the human body. The vaccine’s high binding affinity with TLRs was revealed in the docking study, and a very stable interaction throughout the simulation proved the potential high efficacy of the proposed vaccine. Further, in silico cloning was also conducted to design an efficient mass production strategy for future bulk industrial vaccine production. IMPORTANCE Epstein-Barr virus (EBV) vaccines have been developing for over 30 years, but polyphyletic and therapeutic vaccines have failed to get licensed. Our vaccine surpasses the limitations of many such vaccines and remains very promising, which is crucial because the infection rate is higher than most viral infections, affecting a whopping 90% of the adult population. One of the major identifications covers a holistic analysis of populations worldwide, giving us crucial information about its effectiveness for everyone’s unique immunological system. We targeted three glycoproteins that enhance the virulence of the virus to design an epitope-based polyvalent vaccine against two different strains of EBV, type 1 and 2. Our methodology in this study is nonconventional yet swift to show effective results while designing vaccines. |
format | Online Article Text |
id | pubmed-9603631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-96036312022-10-27 Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus Moin, Abu Tayab Patil, Rajesh B. Tabassum, Tahani Araf, Yusha Ullah, Md. Asad Snigdha, Hafsa Jarin Alam, Tawfiq Alvey, Safwan Araf Rudra, Bashudev Mina, Sohana Akter Akter, Yasmin Zhai, Jingbo Zheng, Chunfu Microbiol Spectr Research Article Epstein-Barr virus (EBV) is a lymphotropic virus responsible for numerous epithelial and lymphoid cell malignancies, including gastric carcinoma, Hodgkin’s lymphoma, nasopharyngeal carcinoma, and Burkitt lymphoma. Hundreds of thousands of people worldwide get infected with this virus, and in most cases, this viral infection leads to cancer. Although researchers are trying to develop potential vaccines and drug therapeutics, there is still no effective vaccine to combat this virus. In this study, the immunoinformatics approach was utilized to develop a potential multiepitope subunit vaccine against the two most common subtypes of EBV, targeting three of their virulent envelope glycoproteins. Eleven cytotoxic T lymphocyte (CTL) epitopes, 11 helper T lymphocyte (HTL) epitopes, and 10 B-cell lymphocyte (BCL) epitopes were predicted to be antigenic, nonallergenic, nontoxic, and fully conserved among the two subtypes, and nonhuman homologs were used for constructing the vaccine after much analysis. Later, further validation experiments, including molecular docking with different immune receptors (e.g., Toll-like receptors [TLRs]), molecular dynamics simulation analyses (including root means square deviation [RMSD], root mean square fluctuation [RMSF], radius of gyration [Rg], principal-component analysis [PCA], dynamic cross-correlation [DCC], definition of the secondary structure of proteins [DSSP], and Molecular Mechanics Poisson-Boltzmann Surface Area [MM-PBSA]), and immune simulation analyses generated promising results, ensuring the safe and stable response of the vaccine with specific immune receptors after potential administration within the human body. The vaccine’s high binding affinity with TLRs was revealed in the docking study, and a very stable interaction throughout the simulation proved the potential high efficacy of the proposed vaccine. Further, in silico cloning was also conducted to design an efficient mass production strategy for future bulk industrial vaccine production. IMPORTANCE Epstein-Barr virus (EBV) vaccines have been developing for over 30 years, but polyphyletic and therapeutic vaccines have failed to get licensed. Our vaccine surpasses the limitations of many such vaccines and remains very promising, which is crucial because the infection rate is higher than most viral infections, affecting a whopping 90% of the adult population. One of the major identifications covers a holistic analysis of populations worldwide, giving us crucial information about its effectiveness for everyone’s unique immunological system. We targeted three glycoproteins that enhance the virulence of the virus to design an epitope-based polyvalent vaccine against two different strains of EBV, type 1 and 2. Our methodology in this study is nonconventional yet swift to show effective results while designing vaccines. American Society for Microbiology 2022-09-12 /pmc/articles/PMC9603631/ /pubmed/36094198 http://dx.doi.org/10.1128/spectrum.01151-22 Text en Copyright © 2022 Moin et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Moin, Abu Tayab Patil, Rajesh B. Tabassum, Tahani Araf, Yusha Ullah, Md. Asad Snigdha, Hafsa Jarin Alam, Tawfiq Alvey, Safwan Araf Rudra, Bashudev Mina, Sohana Akter Akter, Yasmin Zhai, Jingbo Zheng, Chunfu Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus |
title | Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus |
title_full | Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus |
title_fullStr | Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus |
title_full_unstemmed | Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus |
title_short | Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus |
title_sort | immunoinformatics approach to design novel subunit vaccine against the epstein-barr virus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603631/ https://www.ncbi.nlm.nih.gov/pubmed/36094198 http://dx.doi.org/10.1128/spectrum.01151-22 |
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