An immunoinformatics-based designed multi-epitope candidate vaccine (mpme-VAC/STV-1) against Mycoplasma pneumoniae.


Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
03 2022
Historique:
received: 19 05 2021
revised: 28 12 2021
accepted: 28 12 2021
pubmed: 11 1 2022
medline: 18 3 2022
entrez: 10 1 2022
Statut: ppublish

Résumé

Pneumonia is a serious global health problem that accounts for over one million deaths annually. Among the main microorganisms causing pneumonia, Mycoplasma pneumoniae is one of the most common ones for which a vaccine is immediately required. In this context, a multi-epitope vaccine against this pathogen could be the best option that can induce effective immune response avoiding any serious adverse reactions. In this study, using an immunoinformatics approach we have designed a multi-epitope vaccine (mpme-VAC/STV-1) against M. pneumoniae. Our designed mpme-VAC/STV-1 is constructed using CTL (cytotoxic T lymphocyte), HTL (Helper T lymphocyte), and B-cell epitopes. These epitopes are selected from the core proteins of 88 M. pneumoniae genomes that were previously identified through reverse vaccinology approaches. The epitopes were filtered according to their immunogenicity, population coverage, and several other criteria. Sixteen CTL/B- and thirteen HTL/B- epitopes that belong to 5 core proteins were combined together through peptide linkers to develop the mpme-VAC/STV-1. The heat-labile enterotoxin from E. coli was used as an adjuvant. The designed mpme-VAC/STV-1 is predicted to be stable, non-toxic, non-allergenic, non-host homologous, and with required antigenic and immunogenic properties. Docking and molecular dynamic simulation of mpme-VAC/STV-1 shows that it can stimulate TLR2 pathway mediated immunogenic reactions. In silico cloning of mpme-VAC/STV-1 in an expression vector also shows positive results. Finally, the mpme-VAC/STV-1 also shows promising efficacy in immune simulation tests. Therefore, our constructed mpme-VAC/STV-1 could be a safe and effective multi-epitope vaccine for immunization against pneumonia. However, it requires further experimental and clinical validations.

Identifiants

pubmed: 35007945
pii: S0010-4825(21)00988-4
doi: 10.1016/j.compbiomed.2021.105194
pii:
doi:

Substances chimiques

Epitopes, T-Lymphocyte 0
Vaccines, Subunit 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105194

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Auteurs

Thaís Cristina Vilela Rodrigues (TC)

Programa PG Em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Arun Kumar Jaiswal (AK)

Programa PG Em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Marcela Rezende Lemes (MR)

Department of Immunology, Microbiology and Parasitology, Institute of Biological Science and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, 38025-180, MG, Brazil.

Marcos Vinícius da Silva (MV)

Department of Immunology, Microbiology and Parasitology, Institute of Biological Science and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, 38025-180, MG, Brazil.

Helioswilton Sales-Campos (H)

Institute of Tropical Pathology and Public Health, Federal University of Goias (UFG), Goiânia, 74605-050, GO, Goiás, Brazil.

Luiz Carlos Júnior Alcântara (LCJ)

Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.

Sthephane Fraga de Oliveira Tosta (SFO)

Programa PG Em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Rodrigo Bentes Kato (RB)

Programa PG Em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Khalid J Alzahrani (KJ)

Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.

Debmalya Barh (D)

Programa PG Em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, West Bengal, 721172, India.

Vasco Ariston de Carvalho Azevedo (VAC)

Programa PG Em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Sandeep Tiwari (S)

Programa PG Em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. Electronic address: sandip_sbtbi@yahoo.com.

Siomar de Castro Soares (SC)

Department of Immunology, Microbiology and Parasitology, Institute of Biological Science and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, 38025-180, MG, Brazil. Electronic address: siomars@gmail.com.

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Classifications MeSH