Next generation methodology for updating HA vaccines against emerging human seasonal influenza A(H3N2) viruses

被引:40
作者
Allen, James D. [1 ]
Ross, Ted M. [1 ,2 ]
机构
[1] Univ Georgia, Ctr Vaccines & Immunol, 501 DW Brooks Dr,CVI Room 1504, Athens, GA 30602 USA
[2] Univ Georgia, Dept Infect Dis, Athens, GA 30602 USA
关键词
COMPUTATIONALLY OPTIMIZED HEMAGGLUTININ; A VIRUS; ANTIBODIES; EVOLUTION; ENHANCEMENT; INFECTIONS; DIAGNOSIS;
D O I
10.1038/s41598-020-79590-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
While vaccines remain the best tool for preventing influenza virus infections, they have demonstrated low to moderate effectiveness in recent years. Seasonal influenza vaccines typically consist of wild-type influenza A and B viruses that are limited in their ability to elicit protective immune responses against co-circulating influenza virus variant strains. Improved influenza virus vaccines need to elicit protective immune responses against multiple influenza virus drift variants within each season. Broadly reactive vaccine candidates potentially provide a solution to this problem, but their efficacy may begin to wane as influenza viruses naturally mutate through processes that mediates drift. Thus, it is necessary to develop a method that commercial vaccine manufacturers can use to update broadly reactive vaccine antigens to better protect against future and currently circulating viral variants. Building upon the COBRA technology, nine next-generation H3N2 influenza hemagglutinin (HA) vaccines were designed using a next generation algorithm and design methodology. These next-generation broadly reactive COBRA H3 HA vaccines were superior to wild-type HA vaccines at eliciting antibodies with high HAI activity against a panel of historical and co-circulating H3N2 influenza viruses isolated over the last 15 years, as well as the ability to neutralize future emerging H3N2 isolates.
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页数:14
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