mBio (Sep 2018)

Heterosubtypic Protections against Human-Infecting Avian Influenza Viruses Correlate to Biased Cross-T-Cell Responses

  • Min Zhao,
  • Kefang Liu,
  • Jiejian Luo,
  • Shuguang Tan,
  • Chuansong Quan,
  • Shuijun Zhang,
  • Yan Chai,
  • Jianxun Qi,
  • Yan Li,
  • Yuhai Bi,
  • Haixia Xiao,
  • Gary Wong,
  • Jianfang Zhou,
  • Taijiao Jiang,
  • Wenjun Liu,
  • Hongjie Yu,
  • Jinghua Yan,
  • Yingxia Liu,
  • Yuelong Shu,
  • Guizhen Wu,
  • Aiping Wu,
  • George F. Gao,
  • William J. Liu

DOI
https://doi.org/10.1128/mBio.01408-18
Journal volume & issue
Vol. 9, no. 4

Abstract

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ABSTRACT Against a backdrop of seasonal influenza virus epidemics, emerging avian influenza viruses (AIVs) occasionally jump from birds to humans, posing a public health risk, especially with the recent sharp increase in H7N9 infections. Evaluations of cross-reactive T-cell immunity to seasonal influenza viruses and human-infecting AIVs have been reported previously. However, the roles of influenza A virus-derived epitopes in the cross-reactive T-cell responses and heterosubtypic protections are not well understood; understanding those roles is important for preventing and controlling new emerging AIVs. Here, among the members of a healthy population presumed to have previously been infected by pandemic H1N1 (pH1N1), we found that pH1N1-specific T cells showed cross- but biased reactivity to human-infecting AIVs, i.e., H5N1, H6N1, H7N9, and H9N2, which correlates with distinct protections. Through a T-cell epitope-based phylogenetic analysis, the cellular immunogenic clustering expanded the relevant conclusions to a broader range of virus strains. We defined the potential key conserved epitopes required for cross-protection and revealed the molecular basis for the immunogenic variations. Our study elucidated an overall profile of cross-reactivity to AIVs and provided useful recommendations for broad-spectrum vaccine development. IMPORTANCE We revealed preexisting but biased T-cell reactivity of pH1N1 influenza virus to human-infecting AIVs, which provided distinct protections. The cross-reactive T-cell recognition had a regular pattern that depended on the T-cell epitope matrix revealed via bioinformatics analysis. Our study elucidated an overall profile of cross-reactivity to AIVs and provided useful recommendations for broad-spectrum vaccine development.

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