Publication

Lineage-specific protection and immune imprinting shape the age distributions of influenza B cases

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Last modified
  • 05/22/2025
Type of Material
Authors
    Marcos C Vieira, University of ChicagoCeleste M Donato, Murdoch Children’s Research InstitutePhilip Arevalo, University of ChicagoGuus F Rimmelzwaan, University of Veterinary Medicine HannoverTimothy Wood, Institute of Environmental Science and ResearchLiza Lopez, Institute of Environmental Science and ResearchSue Q Huang, Institute of Environmental Science and ResearchVijaykrishna Dhanasekaran, Monash UniversityKatharina Koelle, Emory UniversitySarah Cobey, University of Chicago
Language
  • English
Date
  • 2021-07-14
Publisher
  • NATURE RESEARCH
Publication Version
Copyright Statement
  • © The Author(s) 2021
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 12
Issue
  • 1
Start Page
  • 4313
End Page
  • 4313
Grant/Funding Information
  • The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding sources.
  • P.A. was supported by an NRSA Fellowship F32AI145177-01 by the National Institutes of Health.
  • This project has been funded in part with Federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services under grant DP2 AI117921 and CEIRS Contract number HHSN272201400005C awarded to S.C.
  • M.V. was supported by a William Rainey Harper Dissertation Fellowship by the University of Chicago.
  • K.K. was supported by MIDAS CIDID Center of Excellence (U54-GM111274), V.D. was supported by NIH CEIRS Contract number HHSN272201400006C, and C.D. was supported by an Early Career Fellowship (1113269) from the Australian National Health and Medical Research Council.
Supplemental Material (URL)
Abstract
  • How a history of influenza virus infections contributes to protection is not fully understood, but such protection might explain the contrasting age distributions of cases of the two lineages of influenza B, B/Victoria and B/Yamagata. Fitting a statistical model to those distributions using surveillance data from New Zealand, we found they could be explained by historical changes in lineage frequencies combined with cross-protection between strains of the same lineage. We found additional protection against B/Yamagata in people for whom it was their first influenza B infection, similar to the immune imprinting observed in influenza A. While the data were not informative about B/Victoria imprinting, B/Yamagata imprinting could explain the fewer B/Yamagata than B/Victoria cases in cohorts born in the 1990s and the bimodal age distribution of B/Yamagata cases. Longitudinal studies can test if these forms of protection inferred from historical data extend to more recent strains and other populations.
Author Notes
Keywords
Research Categories
  • Biology, Ecology
  • Environmental Sciences
  • Biology, Microbiology

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