Scientific Reports (Apr 2017)

A humanized mouse model identifies key amino acids for low immunogenicity of H7N9 vaccines

  • Yamato Wada,
  • Arnone Nithichanon,
  • Eri Nobusawa,
  • Leonard Moise,
  • William D. Martin,
  • Norio Yamamoto,
  • Kazutaka Terahara,
  • Haruhisa Hagiwara,
  • Takato Odagiri,
  • Masato Tashiro,
  • Ganjana Lertmemongkolchai,
  • Haruko Takeyama,
  • Anne S. De Groot,
  • Manabu Ato,
  • Yoshimasa Takahashi

DOI
https://doi.org/10.1038/s41598-017-01372-5
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 11

Abstract

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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.