Cargando…
Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology
Tuberculosis (TB) is a chronic infectious disease, considered as the second leading cause of death worldwide, caused by Mycobacterium tuberculosis. The limited efficacy of the bacillus Calmette-Guérin (BCG) vaccine against pulmonary TB and the emergence of multidrug-resistant TB warrants the need fo...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4413515/ https://www.ncbi.nlm.nih.gov/pubmed/25961021 http://dx.doi.org/10.1155/2015/483150 |
_version_ | 1782368792927535104 |
---|---|
author | Monterrubio-López, Gloria P. González-Y-Merchand, Jorge A. Ribas-Aparicio, Rosa María |
author_facet | Monterrubio-López, Gloria P. González-Y-Merchand, Jorge A. Ribas-Aparicio, Rosa María |
author_sort | Monterrubio-López, Gloria P. |
collection | PubMed |
description | Tuberculosis (TB) is a chronic infectious disease, considered as the second leading cause of death worldwide, caused by Mycobacterium tuberculosis. The limited efficacy of the bacillus Calmette-Guérin (BCG) vaccine against pulmonary TB and the emergence of multidrug-resistant TB warrants the need for more efficacious vaccines. Reverse vaccinology uses the entire proteome of a pathogen to select the best vaccine antigens by in silico approaches. M. tuberculosis H37Rv proteome was analyzed with NERVE (New Enhanced Reverse Vaccinology Environment) prediction software to identify potential vaccine targets; these 331 proteins were further analyzed with VaxiJen for the determination of their antigenicity value. Only candidates with values ≥0.5 of antigenicity and 50% of adhesin probability and without homology with human proteins or transmembrane regions were selected, resulting in 73 antigens. These proteins were grouped by families in seven groups and analyzed by amino acid sequence alignments, selecting 16 representative proteins. For each candidate, a search of the literature and protein analysis with different bioinformatics tools, as well as a simulation of the immune response, was conducted. Finally, we selected six novel vaccine candidates, EsxL, PE26, PPE65, PE_PGRS49, PBP1, and Erp, from M. tuberculosis that can be used to improve or design new TB vaccines. |
format | Online Article Text |
id | pubmed-4413515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44135152015-05-10 Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology Monterrubio-López, Gloria P. González-Y-Merchand, Jorge A. Ribas-Aparicio, Rosa María Biomed Res Int Research Article Tuberculosis (TB) is a chronic infectious disease, considered as the second leading cause of death worldwide, caused by Mycobacterium tuberculosis. The limited efficacy of the bacillus Calmette-Guérin (BCG) vaccine against pulmonary TB and the emergence of multidrug-resistant TB warrants the need for more efficacious vaccines. Reverse vaccinology uses the entire proteome of a pathogen to select the best vaccine antigens by in silico approaches. M. tuberculosis H37Rv proteome was analyzed with NERVE (New Enhanced Reverse Vaccinology Environment) prediction software to identify potential vaccine targets; these 331 proteins were further analyzed with VaxiJen for the determination of their antigenicity value. Only candidates with values ≥0.5 of antigenicity and 50% of adhesin probability and without homology with human proteins or transmembrane regions were selected, resulting in 73 antigens. These proteins were grouped by families in seven groups and analyzed by amino acid sequence alignments, selecting 16 representative proteins. For each candidate, a search of the literature and protein analysis with different bioinformatics tools, as well as a simulation of the immune response, was conducted. Finally, we selected six novel vaccine candidates, EsxL, PE26, PPE65, PE_PGRS49, PBP1, and Erp, from M. tuberculosis that can be used to improve or design new TB vaccines. Hindawi Publishing Corporation 2015 2015-04-15 /pmc/articles/PMC4413515/ /pubmed/25961021 http://dx.doi.org/10.1155/2015/483150 Text en Copyright © 2015 Gloria P. Monterrubio-López et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Monterrubio-López, Gloria P. González-Y-Merchand, Jorge A. Ribas-Aparicio, Rosa María Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology |
title | Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology |
title_full | Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology |
title_fullStr | Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology |
title_full_unstemmed | Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology |
title_short | Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology |
title_sort | identification of novel potential vaccine candidates against tuberculosis based on reverse vaccinology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4413515/ https://www.ncbi.nlm.nih.gov/pubmed/25961021 http://dx.doi.org/10.1155/2015/483150 |
work_keys_str_mv | AT monterrubiolopezgloriap identificationofnovelpotentialvaccinecandidatesagainsttuberculosisbasedonreversevaccinology AT gonzalezymerchandjorgea identificationofnovelpotentialvaccinecandidatesagainsttuberculosisbasedonreversevaccinology AT ribasapariciorosamaria identificationofnovelpotentialvaccinecandidatesagainsttuberculosisbasedonreversevaccinology |