Abstract

Influenza vaccines of H7N9 subtype are consistently less immunogenic in humans than vaccines developed for other subtypes. Although prior immunoinformatic analysis identified T-cell epitopes in H7 hemagglutinin (HA) which potentially enhance regulatory T cell response due to conservation with the human genome, the links between the T-cell epitopes and low immunogenicity of H7 HA remains unknown due to the lack of animal models reproducing the response observed in humans. Here, we utilized a humanized mouse model to recapitulate the low immunogenicity of H7 HA. Our analysis demonstrated that modification of a single H7 epitope by changing 3 amino acids so that it is homologous with a known H3 immunogenic epitope sequence significantly improved the immunogenicity of the H7 HA in the humanized mouse model, leading to a greater than 4-fold increase in HA-binding IgG responses. Thus, we provide experimental evidence for the important contribution of this H7-specific T cell epitope in determining the immunogenicity of an influenza vaccine. Furthermore, this study delineates strategies that can be used for screening and selecting vaccine strains using immunoinformatics tools and a humanized mouse model.

Details

Title
A humanized mouse model identifies key amino acids for low immunogenicity of H7N9 vaccines
Author
Wada, Yamato 1 ; Arnone Nithichanon 2 ; Nobusawa, Eri 3 ; Moise, Leonard 4 ; Martin, William D 5 ; Yamamoto, Norio 6 ; Terahara, Kazutaka 7 ; Hagiwara, Haruhisa 8 ; Odagiri, Takato 3 ; Tashiro, Masato 3   VIAFID ORCID Logo  ; Lertmemongkolchai, Ganjana 9 ; Takeyama, Haruko 10 ; De Groot, Anne S 4 ; Ato, Manabu 7 ; Takahashi, Yoshimasa 7 

 Department of Immunology, National Institute of Infectious Diseases, Tokyo, Japan; Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan 
 Department of Immunology, National Institute of Infectious Diseases, Tokyo, Japan; Center for Research and Development of Medical Diagnostic Laboratories (CMDL), Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand 
 Influenza Virus Research Center, National Institute of Infectious Diseases, Tokyo, Japan 
 Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA; EpiVax Inc, Providence, RI, USA 
 EpiVax Inc, Providence, RI, USA 
 Influenza Virus Research Center, National Institute of Infectious Diseases, Tokyo, Japan; Department of Infection Control Science, Graduate School of Medicine, Juntendo University, Tokyo, Japan 
 Department of Immunology, National Institute of Infectious Diseases, Tokyo, Japan 
 Hagiwara Clinic, Tokyo, Japan 
 Center for Research and Development of Medical Diagnostic Laboratories (CMDL), Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand 
10  Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan 
Pages
1-11
Publication year
2017
Publication date
Apr 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1961811091
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.