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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...

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Autores principales: Monterrubio-López, Gloria P., González-Y-Merchand, Jorge A., Ribas-Aparicio, Rosa María
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
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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.
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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
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