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Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach

Background and Objectives: Citrobacter freundii (C. freundii) is an emerging and opportunistic Gram-negative bacteria of the human gastrointestinal tract associated with nosocomial and severe respiratory tract infections. It has also been associated with pneumonia, bloodstream, and urinary tract inf...

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Autores principales: Naveed, Muhammad, Hassan, Jawad-ul, Ahmad, Muneeb, Naeem, Nida, Mughal, Muhammad Saad, Rabaan, Ali A., Aljeldah, Mohammed, Shammari, Basim R. Al, Alissa, Mohammed, Sabour, Amal A., Alaeq, Rana A., Alshiekheid, Maha A., Turkistani, Safaa A., Elmi, Abdirahman Hussein, Ahmed, Naveed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610710/
https://www.ncbi.nlm.nih.gov/pubmed/36295517
http://dx.doi.org/10.3390/medicina58101356
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author Naveed, Muhammad
Hassan, Jawad-ul
Ahmad, Muneeb
Naeem, Nida
Mughal, Muhammad Saad
Rabaan, Ali A.
Aljeldah, Mohammed
Shammari, Basim R. Al
Alissa, Mohammed
Sabour, Amal A.
Alaeq, Rana A.
Alshiekheid, Maha A.
Turkistani, Safaa A.
Elmi, Abdirahman Hussein
Ahmed, Naveed
author_facet Naveed, Muhammad
Hassan, Jawad-ul
Ahmad, Muneeb
Naeem, Nida
Mughal, Muhammad Saad
Rabaan, Ali A.
Aljeldah, Mohammed
Shammari, Basim R. Al
Alissa, Mohammed
Sabour, Amal A.
Alaeq, Rana A.
Alshiekheid, Maha A.
Turkistani, Safaa A.
Elmi, Abdirahman Hussein
Ahmed, Naveed
author_sort Naveed, Muhammad
collection PubMed
description Background and Objectives: Citrobacter freundii (C. freundii) is an emerging and opportunistic Gram-negative bacteria of the human gastrointestinal tract associated with nosocomial and severe respiratory tract infections. It has also been associated with pneumonia, bloodstream, and urinary tract infections. Intrinsic and adaptive virulence characteristics of C. freundii have become a significant source of diarrheal infections and food poisoning among immune-compromised patients and newborns. Impulsive usage of antibiotics and these adaptive virulence characteristics has modulated the C. freundii into multidrug-resistant (MDR) bacteria. Conventional approaches are futile against MDR C. freundii. Materials and Methods: The current study exploits the modern computational-based vaccine design approach to treat infections related to MDR C. freundii. A whole proteome of C. freundii (strain: CWH001) was retrieved to screen pathogenic and nonhomologous proteins. Six proteins were shortlisted for the selection of putative epitopes for vaccine construct. Highly antigenic, nonallergen, and nontoxic eleven B-cell, HTL, and TCL epitopes were selected for mRNA- and peptide-based multi-epitope vaccine construct. Secondary and tertiary structures of the multi-epitope vaccine (MEVC) were designed, refined, and validated. Results: Evaluation of population coverage of MHC-I and MHC-II alleles were 72% and 90%, respectively. Docking MEVC with TLR-3 receptor with the binding affinity of 21.46 (kcal/mol) occurred through the mmGBSA process. Further validations include codon optimization with an enhanced CAI value of 0.95 and GC content of about 51%. Immune stimulation and molecular dynamic simulation ensure the antibody production upon antigen interaction with the host and stability of the MEVC construct, respectively. Conclusions: These interpretations propose a new strategy to combat MDR C. freundii. Further, in vivo and in vitro trials of this vaccine will be valuable in combating MDR pathogens.
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spelling pubmed-96107102022-10-28 Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach Naveed, Muhammad Hassan, Jawad-ul Ahmad, Muneeb Naeem, Nida Mughal, Muhammad Saad Rabaan, Ali A. Aljeldah, Mohammed Shammari, Basim R. Al Alissa, Mohammed Sabour, Amal A. Alaeq, Rana A. Alshiekheid, Maha A. Turkistani, Safaa A. Elmi, Abdirahman Hussein Ahmed, Naveed Medicina (Kaunas) Article Background and Objectives: Citrobacter freundii (C. freundii) is an emerging and opportunistic Gram-negative bacteria of the human gastrointestinal tract associated with nosocomial and severe respiratory tract infections. It has also been associated with pneumonia, bloodstream, and urinary tract infections. Intrinsic and adaptive virulence characteristics of C. freundii have become a significant source of diarrheal infections and food poisoning among immune-compromised patients and newborns. Impulsive usage of antibiotics and these adaptive virulence characteristics has modulated the C. freundii into multidrug-resistant (MDR) bacteria. Conventional approaches are futile against MDR C. freundii. Materials and Methods: The current study exploits the modern computational-based vaccine design approach to treat infections related to MDR C. freundii. A whole proteome of C. freundii (strain: CWH001) was retrieved to screen pathogenic and nonhomologous proteins. Six proteins were shortlisted for the selection of putative epitopes for vaccine construct. Highly antigenic, nonallergen, and nontoxic eleven B-cell, HTL, and TCL epitopes were selected for mRNA- and peptide-based multi-epitope vaccine construct. Secondary and tertiary structures of the multi-epitope vaccine (MEVC) were designed, refined, and validated. Results: Evaluation of population coverage of MHC-I and MHC-II alleles were 72% and 90%, respectively. Docking MEVC with TLR-3 receptor with the binding affinity of 21.46 (kcal/mol) occurred through the mmGBSA process. Further validations include codon optimization with an enhanced CAI value of 0.95 and GC content of about 51%. Immune stimulation and molecular dynamic simulation ensure the antibody production upon antigen interaction with the host and stability of the MEVC construct, respectively. Conclusions: These interpretations propose a new strategy to combat MDR C. freundii. Further, in vivo and in vitro trials of this vaccine will be valuable in combating MDR pathogens. MDPI 2022-09-27 /pmc/articles/PMC9610710/ /pubmed/36295517 http://dx.doi.org/10.3390/medicina58101356 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
Naveed, Muhammad
Hassan, Jawad-ul
Ahmad, Muneeb
Naeem, Nida
Mughal, Muhammad Saad
Rabaan, Ali A.
Aljeldah, Mohammed
Shammari, Basim R. Al
Alissa, Mohammed
Sabour, Amal A.
Alaeq, Rana A.
Alshiekheid, Maha A.
Turkistani, Safaa A.
Elmi, Abdirahman Hussein
Ahmed, Naveed
Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach
title Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach
title_full Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach
title_fullStr Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach
title_full_unstemmed Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach
title_short Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach
title_sort designing mrna- and peptide-based vaccine construct against emerging multidrug-resistant citrobacter freundii: a computational-based subtractive proteomics approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610710/
https://www.ncbi.nlm.nih.gov/pubmed/36295517
http://dx.doi.org/10.3390/medicina58101356
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