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| Auteurs principaux: | , , , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Langue: | en |
| Publié: |
Scientific reports
2024
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| Sujets: | |
| Accès en ligne: | https://pubmed.ncbi.nlm.nih.gov/39505874/ |
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| author | Moin, Abu Tayab Rani, Nurul Amin Sharker, Yasin Arafath Ahammed, Tanbir Rahman, Umme Sadea Yasmin, Sadia Ratul, Irfan Haque Joyoti, Shanjida Akter Musa, Muhammad Sakib Rahaman, Mizan Ur Biswas, Dipta Ali, Md Hazrat Alam, S M Murshid Ul Patil, Rajesh B Nabi, Rashed Un Uddin, Mohammad Helal |
| author_facet | Moin, Abu Tayab Rani, Nurul Amin Sharker, Yasin Arafath Ahammed, Tanbir Rahman, Umme Sadea Yasmin, Sadia Ratul, Irfan Haque Joyoti, Shanjida Akter Musa, Muhammad Sakib Rahaman, Mizan Ur Biswas, Dipta Ali, Md Hazrat Alam, S M Murshid Ul Patil, Rajesh B Nabi, Rashed Un Uddin, Mohammad Helal Moin, Abu Tayab Rani, Nurul Amin Sharker, Yasin Arafath Ahammed, Tanbir Rahman, Umme Sadea Yasmin, Sadia Ratul, Irfan Haque Joyoti, Shanjida Akter Musa, Muhammad Sakib Rahaman, Mizan Ur Biswas, Dipta Ali, Md Hazrat Alam, S M Murshid Ul Patil, Rajesh B Nabi, Rashed Un Uddin, Mohammad Helal |
| collection | PubMed - marine biology |
| contents | Computational design and evaluation of a polyvalent vaccine for viral nervous necrosis (VNN) in fish to combat Betanodavirus infection. Moin, Abu Tayab Rani, Nurul Amin Sharker, Yasin Arafath Ahammed, Tanbir Rahman, Umme Sadea Yasmin, Sadia Ratul, Irfan Haque Joyoti, Shanjida Akter Musa, Muhammad Sakib Rahaman, Mizan Ur Biswas, Dipta Ali, Md Hazrat Alam, S M Murshid Ul Patil, Rajesh B Nabi, Rashed Un Uddin, Mohammad Helal Animals Nodaviridae Fish Diseases RNA Virus Infections Viral Vaccines Fishes Molecular Dynamics Simulation Computational Biology Epitopes, B-Lymphocyte Epitope Mapping Epitopes, T-Lymphocyte Viral nervous necrosis (VNN) poses a significant threat to the aquaculture industry, causing substantial losses and economic burdens. The disease, attributed to nervous necrosis viruses within the Betanodavirus genus, is particularly pervasive in the Mediterranean region, affecting various fish species across all production stages with mortality rates reaching 100%. Developing effective preventive measures against VNN is imperative. In this study, we employed rigorous immunoinformatics techniques to design a novel multi-epitope vaccine targeting VNN. Five RNA-directed RNA polymerases, crucial to the lifecycle of Betanodavirus, were selected as vaccine targets. The antigenicity and favorable physicochemical properties of these proteins were confirmed, and epitope mapping identified cytotoxic T lymphocyte, helper T lymphocyte, and linear B lymphocyte epitopes essential for eliciting a robust immune response. The selected epitopes, characterized by high antigenicity, non-allergenicity, and non-toxicity, were further enhanced by adding PADRE sequences and hBD adjuvants to increase immunogenicity. Two vaccine constructs were developed by linking epitopes using appropriate linkers, demonstrating high antigenicity, solubility, and stability. Molecular dynamics simulations revealed stable interactions between the vaccine constructs and Toll-like receptors (TLRs), essential for pathogen recognition and immune response activation in fish. Notably, vaccine construct V2 exhibited superior stability and binding affinity with TLR8, suggesting its potential as a promising candidate for VNN prevention. Overall, our study presents a comprehensive approach to VNN vaccine design utilizing immunoinformatics, offering safe, immunogenic, and effective solutions across multiple Betanodavirus species. Further experimental validation in model animals is recommended to fully assess the vaccine's efficacy. This research contributes to improved vaccine development against diverse fish pathogens by addressing emerging challenges and individualized immunization requirements in aquaculture. |
| format | Artículo científico |
| id | pubmed_39505874 |
| institution | PubMed |
| language | en |
| publishDate | 2024 |
| publisher | Scientific reports |
| record_format | pubmed |
| spellingShingle | Computational design and evaluation of a polyvalent vaccine for viral nervous necrosis (VNN) in fish to combat Betanodavirus infection. Moin, Abu Tayab Rani, Nurul Amin Sharker, Yasin Arafath Ahammed, Tanbir Rahman, Umme Sadea Yasmin, Sadia Ratul, Irfan Haque Joyoti, Shanjida Akter Musa, Muhammad Sakib Rahaman, Mizan Ur Biswas, Dipta Ali, Md Hazrat Alam, S M Murshid Ul Patil, Rajesh B Nabi, Rashed Un Uddin, Mohammad Helal Animals Nodaviridae Fish Diseases RNA Virus Infections Viral Vaccines Fishes Molecular Dynamics Simulation Computational Biology Epitopes, B-Lymphocyte Epitope Mapping Epitopes, T-Lymphocyte Computational design and evaluation of a polyvalent vaccine for viral nervous necrosis (VNN) in fish to combat Betanodavirus infection. Moin, Abu Tayab Rani, Nurul Amin Sharker, Yasin Arafath Ahammed, Tanbir Rahman, Umme Sadea Yasmin, Sadia Ratul, Irfan Haque Joyoti, Shanjida Akter Musa, Muhammad Sakib Rahaman, Mizan Ur Biswas, Dipta Ali, Md Hazrat Alam, S M Murshid Ul Patil, Rajesh B Nabi, Rashed Un Uddin, Mohammad Helal Animals Nodaviridae Fish Diseases RNA Virus Infections Viral Vaccines Fishes Molecular Dynamics Simulation Computational Biology Epitopes, B-Lymphocyte Epitope Mapping Epitopes, T-Lymphocyte Viral nervous necrosis (VNN) poses a significant threat to the aquaculture industry, causing substantial losses and economic burdens. The disease, attributed to nervous necrosis viruses within the Betanodavirus genus, is particularly pervasive in the Mediterranean region, affecting various fish species across all production stages with mortality rates reaching 100%. Developing effective preventive measures against VNN is imperative. In this study, we employed rigorous immunoinformatics techniques to design a novel multi-epitope vaccine targeting VNN. Five RNA-directed RNA polymerases, crucial to the lifecycle of Betanodavirus, were selected as vaccine targets. The antigenicity and favorable physicochemical properties of these proteins were confirmed, and epitope mapping identified cytotoxic T lymphocyte, helper T lymphocyte, and linear B lymphocyte epitopes essential for eliciting a robust immune response. The selected epitopes, characterized by high antigenicity, non-allergenicity, and non-toxicity, were further enhanced by adding PADRE sequences and hBD adjuvants to increase immunogenicity. Two vaccine constructs were developed by linking epitopes using appropriate linkers, demonstrating high antigenicity, solubility, and stability. Molecular dynamics simulations revealed stable interactions between the vaccine constructs and Toll-like receptors (TLRs), essential for pathogen recognition and immune response activation in fish. Notably, vaccine construct V2 exhibited superior stability and binding affinity with TLR8, suggesting its potential as a promising candidate for VNN prevention. Overall, our study presents a comprehensive approach to VNN vaccine design utilizing immunoinformatics, offering safe, immunogenic, and effective solutions across multiple Betanodavirus species. Further experimental validation in model animals is recommended to fully assess the vaccine's efficacy. This research contributes to improved vaccine development against diverse fish pathogens by addressing emerging challenges and individualized immunization requirements in aquaculture. |
| title | Computational design and evaluation of a polyvalent vaccine for viral nervous necrosis (VNN) in fish to combat Betanodavirus infection. |
| topic | Animals Nodaviridae Fish Diseases RNA Virus Infections Viral Vaccines Fishes Molecular Dynamics Simulation Computational Biology Epitopes, B-Lymphocyte Epitope Mapping Epitopes, T-Lymphocyte |
| url | https://pubmed.ncbi.nlm.nih.gov/39505874/ |