Cargando…
Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis
BACKGROUND: Brucellosis caused by B. melitensis is one of the most important common diseases between humans and livestock. Currently, live attenuated vaccines are used for this disease, which causes many problems, and unfortunately, there is no effective vaccine for human brucellosis. The aim of our...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686926/ https://www.ncbi.nlm.nih.gov/pubmed/38019359 http://dx.doi.org/10.1186/s43141-023-00614-6 |
_version_ | 1785151870732337152 |
---|---|
author | Hashemzadeh, Pejman nezhad, Saba Asgari Khoshkhabar, Hossein |
author_facet | Hashemzadeh, Pejman nezhad, Saba Asgari Khoshkhabar, Hossein |
author_sort | Hashemzadeh, Pejman |
collection | PubMed |
description | BACKGROUND: Brucellosis caused by B. melitensis is one of the most important common diseases between humans and livestock. Currently, live attenuated vaccines are used for this disease, which causes many problems, and unfortunately, there is no effective vaccine for human brucellosis. The aim of our research was to design a recombinant vaccine containing potential immunogenic epitopes against B. melitensis. METHODS: In this study, using immunoinformatics approaches, 3 antigens Omp31, Omp25, and Omp28 were identified and the amino acid sequence of the selected antigens was determined in NCBI. Signal peptides were predicted by SignaIP-5.0 server. To predict B-cell epitopes from ABCpred and Bcepred servers, to predict MHC-I epitopes from RANKPEP and SYFPEITHI servers, to predict MHC-II epitopes from RANKPEP and MHCPred servers, and to predict CTL epitopes were used from the CTLPred server. Potentially immunogenic final epitopes were joined by flexible linkers. Finally, allergenicity (AllerTOP 2.0 server), antigenicity (Vaxijen server), physicochemical properties (ProtParam server), solubility (Protein-sol server), secondary (PSIPRED and GRO4 servers) and tertiary structure (I-TASSER server), refinement (GalaxyWEB server), validation (ProSA-web, Molprobity, and ERRAT servers), and optimization of the codon sequence (JCat server) of the structure of the multi-epitope vaccine were analyzed. RESULTS: The analysis of immunoinformatics tools showed that the designed vaccine has high quality, acceptable physicochemical properties, and can induce humoral and cellular immune responses against B. melitensis bacteria. In addition, the high expression level of recombinant antigens in the E. coli host was observed through in silico simulation. CONCLUSION: According to the results in silico, the designed vaccine can be a suitable candidate to fight brucellosis and in vitro and in vivo studies are needed to evaluate the research of this study. |
format | Online Article Text |
id | pubmed-10686926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106869262023-11-30 Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis Hashemzadeh, Pejman nezhad, Saba Asgari Khoshkhabar, Hossein J Genet Eng Biotechnol Research BACKGROUND: Brucellosis caused by B. melitensis is one of the most important common diseases between humans and livestock. Currently, live attenuated vaccines are used for this disease, which causes many problems, and unfortunately, there is no effective vaccine for human brucellosis. The aim of our research was to design a recombinant vaccine containing potential immunogenic epitopes against B. melitensis. METHODS: In this study, using immunoinformatics approaches, 3 antigens Omp31, Omp25, and Omp28 were identified and the amino acid sequence of the selected antigens was determined in NCBI. Signal peptides were predicted by SignaIP-5.0 server. To predict B-cell epitopes from ABCpred and Bcepred servers, to predict MHC-I epitopes from RANKPEP and SYFPEITHI servers, to predict MHC-II epitopes from RANKPEP and MHCPred servers, and to predict CTL epitopes were used from the CTLPred server. Potentially immunogenic final epitopes were joined by flexible linkers. Finally, allergenicity (AllerTOP 2.0 server), antigenicity (Vaxijen server), physicochemical properties (ProtParam server), solubility (Protein-sol server), secondary (PSIPRED and GRO4 servers) and tertiary structure (I-TASSER server), refinement (GalaxyWEB server), validation (ProSA-web, Molprobity, and ERRAT servers), and optimization of the codon sequence (JCat server) of the structure of the multi-epitope vaccine were analyzed. RESULTS: The analysis of immunoinformatics tools showed that the designed vaccine has high quality, acceptable physicochemical properties, and can induce humoral and cellular immune responses against B. melitensis bacteria. In addition, the high expression level of recombinant antigens in the E. coli host was observed through in silico simulation. CONCLUSION: According to the results in silico, the designed vaccine can be a suitable candidate to fight brucellosis and in vitro and in vivo studies are needed to evaluate the research of this study. Springer Berlin Heidelberg 2023-11-29 /pmc/articles/PMC10686926/ /pubmed/38019359 http://dx.doi.org/10.1186/s43141-023-00614-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Hashemzadeh, Pejman nezhad, Saba Asgari Khoshkhabar, Hossein Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis |
title | Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis |
title_full | Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis |
title_fullStr | Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis |
title_full_unstemmed | Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis |
title_short | Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis |
title_sort | immunoinformatics analysis of brucella melitensis to approach a suitable vaccine against brucellosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686926/ https://www.ncbi.nlm.nih.gov/pubmed/38019359 http://dx.doi.org/10.1186/s43141-023-00614-6 |
work_keys_str_mv | AT hashemzadehpejman immunoinformaticsanalysisofbrucellamelitensistoapproachasuitablevaccineagainstbrucellosis AT nezhadsabaasgari immunoinformaticsanalysisofbrucellamelitensistoapproachasuitablevaccineagainstbrucellosis AT khoshkhabarhossein immunoinformaticsanalysisofbrucellamelitensistoapproachasuitablevaccineagainstbrucellosis |