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Published on: December 1, 2017
Algorithm-Optimized H5 Influenza mRNA Vaccine Induces Broad Immune Responses
Liangliang Wang1,2,3, Zhengda Peng1,3, Chenchen He1,3
1Division of HIV/AIDS and Sex-Transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), Beijing 102629, China.
Abstract:
The high case fatality rate, cross-species transmission, and ongoing evolution of H5 avian influenza viruses pose an imminent threat of an influenza pandemic, particularly with the currently predominant clade 2.3.4.4b lineage. Existing seasonal influenza vaccines and licensed H5 vaccines provide limited cross-protection against H5 viruses, underscoring an urgent need for the development of broadly protective H5 vaccines. In this study, we analyzed all human-infected H5 hemagglutinin (HA) sequences using bioinformatics approaches and subsequently designed a novel H5 influenza vaccine through algorithm optimization. The predicted structure of this vaccine closely resembles that of the wild-type H5 HA trimer. In animal studies, the algorithm-optimized H5 mRNA vaccine not only induced high levels of neutralizing antibodies against multiple clade 2.3.4.4b H5 viruses but also elicited cross-neutralizing antibodies against clade 2.3.4.4 and clade 2.2.1 H5 viruses, as well as robust cellular immune responses. These findings highlight the potential of algorithm-based approaches in developing broadly protective vaccines against pandemic viruses and suggest that this vaccine candidate could serve as a strategic stockpile for preventing H5 influenza pandemics.
Insights
A new H5 avian influenza vaccine, developed using algorithm optimization, shows promise for preventing pandemics. This broadly protective vaccine candidate induced strong immune responses against diverse H5 virus strains in animal studies.
Area of Science:
- Virology
- Immunology
- Vaccine Development
Background:
- H5 avian influenza viruses, particularly clade 2.3.4.4b, pose a pandemic threat due to high fatality rates and cross-species transmission.
- Current vaccines offer limited protection against evolving H5 strains, necessitating broadly protective vaccine strategies.
Purpose of the Study:
- To analyze human-infected H5 hemagglutinin (HA) sequences using bioinformatics.
- To design and evaluate a novel, algorithm-optimized H5 influenza vaccine candidate for broad protection.
Main Methods:
- Bioinformatic analysis of human-infected H5 hemagglutinin (HA) sequences.
- Algorithm-based vaccine design optimizing for wild-type H5 HA trimer structure.
- Assessment of vaccine efficacy in animal models, including antibody neutralization and cellular immune responses.
Main Results:
- The algorithm-optimized H5 mRNA vaccine mimicked the wild-type H5 HA trimer structure.
- Vaccine induced high neutralizing antibodies against multiple clade 2.3.4.4b H5 viruses.
- Elicited cross-neutralizing antibodies against clade 2.3.4.4 and clade 2.2.1 H5 viruses, alongside robust cellular immunity.
Conclusions:
- Algorithm-based approaches can effectively develop broadly protective vaccines against pandemic influenza viruses.
- The developed H5 vaccine candidate demonstrates potential as a strategic stockpile for pandemic prevention.
- Further development is warranted to address the threat of H5 avian influenza pandemics.
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