Rational design of a multivalent vaccine targeting arthropod-borne viruses using reverse vaccinology strategies.

Arthropod-borne viruses Immunoinformatics In silico cloning Multivalent vaccine Reverse vaccinology Yellow fever

Journal

International journal of biological macromolecules
ISSN: 1879-0003
Titre abrégé: Int J Biol Macromol
Pays: Netherlands
ID NLM: 7909578

Informations de publication

Date de publication:
15 Dec 2023
Historique:
received: 29 07 2023
revised: 17 11 2023
accepted: 09 12 2023
medline: 18 12 2023
pubmed: 18 12 2023
entrez: 17 12 2023
Statut: aheadofprint

Résumé

Viruses transmitted by arthropods, such as Dengue, Zika, and Chikungunya, represent substantial worldwide health threats, particularly in areas like India. The lack of approved vaccines and effective antiviral therapies calls for developing innovative strategies to tackle these arboviruses. In this study, we employed immunoinformatics methodologies, incorporating reverse vaccinology, to design a multivalent vaccine targeting the predominant arboviruses. Epitopes of B and T cells were recognized within the non-structural proteins of Dengue, Zika, and Chikungunya viruses. The predicted epitopes were enhanced with adjuvants β-defensin and RS-09 to boost the vaccine's immunogenicity. Sixteen distinct vaccine candidates were constructed, each incorporating epitopes from all three viruses. FUVAC-11 emerged as the most promising vaccine candidate through molecular docking and molecular dynamics simulations, demonstrating favorable binding interactions and stability. Its effectiveness was further evaluated using computational immunological studies confirming strong immune responses. The in silico cloning performed using the pET-28a(+) plasmid facilitates the future experimental implementation of this vaccine candidate, paving the way for potential advancements in combating these significant arboviral threats. However, further in vitro and in vivo studies are warranted to confirm the results obtained in this computational study, which highlights the effectiveness of immunoinformatics and reverse vaccinology in creating vaccines against major Arboviruses, offering a promising model for developing vaccines for other vector-borne diseases and enhancing global health security.

Identifiants

pubmed: 38104690
pii: S0141-8130(23)05652-0
doi: 10.1016/j.ijbiomac.2023.128753
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

128753

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest All authors declare that the work presented in this manuscript is original and has not been published elsewhere. The authors also provided approval of the revised version to be submitted and will take full responsibility for the content and integrity of the manuscript.

Auteurs

T Dhanushkumar (T)

Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India.

Prasanna Kumar Selvam (PK)

Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India.

Santhosh M E (S)

Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India.

Karthick Vasudevan (K)

Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India. Electronic address: karthick.vasudevan@reva.edu.in.

George Priya Doss C (GPD)

Laboratory of Integrative Genomics, Department of Integrative Biology, School of BioSciences and Technology, Vellore Institute of Technology (VIT), Vellore, India. Electronic address: georgepriyadoss@vit.ac.in.

Hatem Zayed (H)

Department of Biomedical Sciences College of Health Sciences, QU Health, Qatar University, Doha, Qatar.

Balu Kamaraj (B)

Department of Dental Education, College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Classifications MeSH