Cargando…
Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis
Due to the misuse of antibiotics in our daily lives, antimicrobial resistance (AMR) has become a major health problem. Penicillin, the first antibiotic, was used in the 1930s and led to the emergence of AMR. Due to alterations in the microbe’s genome and the evolution of new resistance mechanisms, a...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146471/ https://www.ncbi.nlm.nih.gov/pubmed/35632394 http://dx.doi.org/10.3390/vaccines10050637 |
_version_ | 1784716571648720896 |
---|---|
author | Attar, Roba Alatawi, Eid A. Aba Alkhayl, Faris F. Alharbi, Khloud Nawaf Allemailem, Khaled S. Almatroudi, Ahmad |
author_facet | Attar, Roba Alatawi, Eid A. Aba Alkhayl, Faris F. Alharbi, Khloud Nawaf Allemailem, Khaled S. Almatroudi, Ahmad |
author_sort | Attar, Roba |
collection | PubMed |
description | Due to the misuse of antibiotics in our daily lives, antimicrobial resistance (AMR) has become a major health problem. Penicillin, the first antibiotic, was used in the 1930s and led to the emergence of AMR. Due to alterations in the microbe’s genome and the evolution of new resistance mechanisms, antibiotics are losing efficacy against microbes. There are high rates of mortality and morbidity due to antibiotic resistance, so addressing this major health issue requires new approaches. Staphylococcus auricularis is a Gram-positive cocci and is capable of causing opportunistic infections and sepsis. S. auricularis is resistant to several antibiotics and does not currently have a licensed vaccine. In this study, we used bacterial pan-genome analysis (BPGA) to study S. auricularis pan-genome and applied a reverse immunology approach to prioritize vaccine targets against S. auricularis. A total of 15,444 core proteins were identified by BPGA analysis, which were then used to identify good vaccine candidates considering potential vaccine filters. Two vaccine candidates were evaluated for epitope prediction including the superoxide dismutase and gamma-glutamyl transferase protein. The epitope prediction phase involved the prediction of a variety of B-Cell and T-cell epitopes, and the epitopes that met certain criteria, such as antigenicity, immunogenicity, non-allergenicity, and non-toxicity were chosen. A multi-epitopes vaccine construct was then constructed from all the predicted epitopes, and a cholera toxin B-subunit adjuvant was also added to increase vaccine antigenicity. Three-dimensional models of the vaccine were used for downward analyses. Using the best-modeled structure, binding potency was tested with MHC-I, MHC-II and TLR-4 immune cells receptors, proving that the vaccine binds strongly with the receptors. Further, molecular dynamics simulations interpreted strong intermolecular binding between the vaccine and receptors and confirmed the vaccine epitopes exposed to the host immune system. The results support that the vaccine candidate may be capable of eliciting a protective immune response against S. auricularis and may be a promising candidate for experimental in vitro and in vivo studies. |
format | Online Article Text |
id | pubmed-9146471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91464712022-05-29 Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis Attar, Roba Alatawi, Eid A. Aba Alkhayl, Faris F. Alharbi, Khloud Nawaf Allemailem, Khaled S. Almatroudi, Ahmad Vaccines (Basel) Article Due to the misuse of antibiotics in our daily lives, antimicrobial resistance (AMR) has become a major health problem. Penicillin, the first antibiotic, was used in the 1930s and led to the emergence of AMR. Due to alterations in the microbe’s genome and the evolution of new resistance mechanisms, antibiotics are losing efficacy against microbes. There are high rates of mortality and morbidity due to antibiotic resistance, so addressing this major health issue requires new approaches. Staphylococcus auricularis is a Gram-positive cocci and is capable of causing opportunistic infections and sepsis. S. auricularis is resistant to several antibiotics and does not currently have a licensed vaccine. In this study, we used bacterial pan-genome analysis (BPGA) to study S. auricularis pan-genome and applied a reverse immunology approach to prioritize vaccine targets against S. auricularis. A total of 15,444 core proteins were identified by BPGA analysis, which were then used to identify good vaccine candidates considering potential vaccine filters. Two vaccine candidates were evaluated for epitope prediction including the superoxide dismutase and gamma-glutamyl transferase protein. The epitope prediction phase involved the prediction of a variety of B-Cell and T-cell epitopes, and the epitopes that met certain criteria, such as antigenicity, immunogenicity, non-allergenicity, and non-toxicity were chosen. A multi-epitopes vaccine construct was then constructed from all the predicted epitopes, and a cholera toxin B-subunit adjuvant was also added to increase vaccine antigenicity. Three-dimensional models of the vaccine were used for downward analyses. Using the best-modeled structure, binding potency was tested with MHC-I, MHC-II and TLR-4 immune cells receptors, proving that the vaccine binds strongly with the receptors. Further, molecular dynamics simulations interpreted strong intermolecular binding between the vaccine and receptors and confirmed the vaccine epitopes exposed to the host immune system. The results support that the vaccine candidate may be capable of eliciting a protective immune response against S. auricularis and may be a promising candidate for experimental in vitro and in vivo studies. MDPI 2022-04-19 /pmc/articles/PMC9146471/ /pubmed/35632394 http://dx.doi.org/10.3390/vaccines10050637 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Attar, Roba Alatawi, Eid A. Aba Alkhayl, Faris F. Alharbi, Khloud Nawaf Allemailem, Khaled S. Almatroudi, Ahmad Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis |
title | Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis |
title_full | Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis |
title_fullStr | Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis |
title_full_unstemmed | Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis |
title_short | Immunoinformatics and Biophysics Approaches to Design a Novel Multi-Epitopes Vaccine Design against Staphylococcus auricularis |
title_sort | immunoinformatics and biophysics approaches to design a novel multi-epitopes vaccine design against staphylococcus auricularis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146471/ https://www.ncbi.nlm.nih.gov/pubmed/35632394 http://dx.doi.org/10.3390/vaccines10050637 |
work_keys_str_mv | AT attarroba immunoinformaticsandbiophysicsapproachestodesignanovelmultiepitopesvaccinedesignagainststaphylococcusauricularis AT alatawieida immunoinformaticsandbiophysicsapproachestodesignanovelmultiepitopesvaccinedesignagainststaphylococcusauricularis AT abaalkhaylfarisf immunoinformaticsandbiophysicsapproachestodesignanovelmultiepitopesvaccinedesignagainststaphylococcusauricularis AT alharbikhloudnawaf immunoinformaticsandbiophysicsapproachestodesignanovelmultiepitopesvaccinedesignagainststaphylococcusauricularis AT allemailemkhaleds immunoinformaticsandbiophysicsapproachestodesignanovelmultiepitopesvaccinedesignagainststaphylococcusauricularis AT almatroudiahmad immunoinformaticsandbiophysicsapproachestodesignanovelmultiepitopesvaccinedesignagainststaphylococcusauricularis |