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流感病毒的不同进化模式及其对疫苗研发的启示。

Distinct evolution patterns of influenza viruses and implications for vaccine development.

作者信息

Hu Ye-Fan, Zhang Bao-Zhong, Chu Hin, Huang Jian-Dong

机构信息

School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong (HKU), Hong Kong SAR, China.

BayVax Biotech Limited, Hong Kong Science Park, Hong Kong & Shenzhen BayVax Biotech Limited, Guangming, Shenzhen 518107, China.

出版信息

Innovation (Camb). 2024 Nov 28;6(1):100739. doi: 10.1016/j.xinn.2024.100739. eCollection 2025 Jan 6.

DOI:10.1016/j.xinn.2024.100739
PMID:39872480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11763911/
Abstract

In conclusion, the distinct evolution patterns of panzootic influenza A(H5Nx) compared to A(H1N1) and A(H3N2) complicate vaccine development. Effective strategies must consider these unique patterns and the impact of pre-existing immunity. Leveraging AI-based methods for optimized antigen design is essential to mitigate the potential impact of emerging antigenically variable strains and will provide valuable insights for developing more effective vaccines to prepare for future pandemics.

摘要

总之,与甲型流感病毒A(H1N1)和A(H3N2)相比,甲型流感病毒A(H5Nx)的独特进化模式使疫苗开发变得复杂。有效的策略必须考虑这些独特模式以及既往免疫的影响。利用基于人工智能的方法进行优化抗原设计对于减轻新出现的抗原变异株的潜在影响至关重要,并将为开发更有效的疫苗以应对未来大流行提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf87/11763911/69d333ccdfcd/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf87/11763911/69d333ccdfcd/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf87/11763911/69d333ccdfcd/gr1.jpg

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本文引用的文献

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Antibody landscapes after influenza virus infection or vaccination.流感病毒感染或接种疫苗后的抗体图谱。
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Viral phylodynamics.病毒系统发生学。
PLoS Comput Biol. 2013;9(3):e1002947. doi: 10.1371/journal.pcbi.1002947. Epub 2013 Mar 21.