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Age-dependent heterogeneity in the antigenic effects of mutations to influenza hemagglutinin.

Frances C Welsh | Rachel T Eguia | Juhye M Lee | Hugh K Haddox | Jared Galloway | Nguyen Van Vinh Chau | Andrea N Loes | John Huddleston | Timothy C Yu | Mai Quynh Le | Nguyen T D Nhat | Nguyen Thi Le Thanh | Alexander L Greninger | Helen Y Chu | Janet A Englund | Trevor Bedford | Frederick A Matsen | Maciej F Boni | Jesse D Bloom
Cell host & microbe | 2024

Human influenza virus evolves to escape neutralization by polyclonal antibodies. However, we have a limited understanding of how the antigenic effects of viral mutations vary across the human population and how this heterogeneity affects virus evolution. Here, we use deep mutational scanning to map how mutations to the hemagglutinin (HA) proteins of two H3N2 strains, A/Hong Kong/45/2019 and A/Perth/16/2009, affect neutralization by serum from individuals of a variety of ages. The effects of HA mutations on serum neutralization differ across age groups in ways that can be partially rationalized in terms of exposure histories. Mutations that were fixed in influenza variants after 2020 cause greater escape from sera from younger individuals compared with adults. Overall, these results demonstrate that influenza faces distinct antigenic selection regimes from different age groups and suggest approaches to understand how this heterogeneous selection shapes viral evolution.

Pubmed ID: 39032493

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P30 CA015704
  • Agency: NIH HHS, United States
    Id: S10 OD028685
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI146028
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007270
  • Agency: NIAID NIH HHS, United States
    Id: 75N93021C00015
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI165821
  • Agency: NIH HHS, United States
    Id: S10 OD020069
  • Agency: Wellcome Trust, United Kingdom

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Fred Hutchinson Cancer Center Genomics and Bioinformatics Core Facility (service resource)

RRID:SCR_022606

Provides set of services that encompass experimental design, data generation and data interpretation. Expert genomics and bioinformatics teams are available to consult and collaborate at every step of process and work closely together to develop optimized experimental strategies to ensure that appropriate technology and data analysis tools are used to address each unique scientific question.

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