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流感病毒抗原性先进变异株的选择

Selection of Antigenically Advanced Variants of Influenza Viruses.

作者信息

Neumann Gabriele, Fan Shufang, Kawaoka Yoshihiro

机构信息

Department of Pathobiological Sciences, Influenza Research Institute, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA.

Division of Virology, Department of Microbiology and Immunology, University of Tokyo, Tokyo, Japan.

出版信息

Methods Mol Biol. 2018;1836:461-486. doi: 10.1007/978-1-4939-8678-1_22.

Abstract

Influenza virus epidemics are caused when seasonal influenza viruses (i.e., those circulating in humans) acquire mutations in the antigenic sites of the viral hemagglutinin (HA) protein that prevent the antibodies present in people from binding to the virus and blocking virus interaction with cellular receptors. To date, vaccination is the best protective option against seasonal influenza viruses. Because influenza viruses frequently acquire mutations in their antigenic sites, vaccine viruses need to be updated regularly. Here, we present an experimental system that allows the simulation of influenza virus evolution in the test tube. By using this system, we can identify antigenic variants that may emerge among natural influenza viruses in the near future. This information would help in the selection and prioritization of variants for vaccine production.

摘要

当季节性流感病毒(即那些在人类中传播的病毒)在病毒血凝素(HA)蛋白的抗原位点发生突变,使得人体内存在的抗体无法与病毒结合并阻止病毒与细胞受体相互作用时,就会引发流感病毒流行。迄今为止,接种疫苗是预防季节性流感病毒的最佳保护措施。由于流感病毒经常在其抗原位点发生突变,因此疫苗病毒需要定期更新。在此,我们展示了一个能够在试管中模拟流感病毒进化的实验系统。通过使用该系统,我们可以识别在不久的将来可能在自然流感病毒中出现的抗原变体。这些信息将有助于在疫苗生产中选择变体并确定其优先级。

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