tetano
Editor, Senior Moderator
Nat Commun
. 2021 Jul 14;12(1):4313.
doi: 10.1038/s41467-021-24566-y.
Lineage-specific protection and immune imprinting shape the age distributions of influenza B cases
Marcos C Vieira[SUP] 1 [/SUP], Celeste M Donato[SUP] 2 3 [/SUP], Philip Arevalo[SUP] 4 [/SUP], Guus F Rimmelzwaan[SUP] 5 [/SUP], Timothy Wood[SUP] 6 [/SUP], Liza Lopez[SUP] 6 [/SUP], Q Sue Huang[SUP] 6 [/SUP], Vijaykrishna Dhanasekaran[SUP] 7 [/SUP], Katia Koelle[SUP] 8 [/SUP], Sarah Cobey[SUP] 9 [/SUP]
Affiliations
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.
. 2021 Jul 14;12(1):4313.
doi: 10.1038/s41467-021-24566-y.
Lineage-specific protection and immune imprinting shape the age distributions of influenza B cases
Marcos C Vieira[SUP] 1 [/SUP], Celeste M Donato[SUP] 2 3 [/SUP], Philip Arevalo[SUP] 4 [/SUP], Guus F Rimmelzwaan[SUP] 5 [/SUP], Timothy Wood[SUP] 6 [/SUP], Liza Lopez[SUP] 6 [/SUP], Q Sue Huang[SUP] 6 [/SUP], Vijaykrishna Dhanasekaran[SUP] 7 [/SUP], Katia Koelle[SUP] 8 [/SUP], Sarah Cobey[SUP] 9 [/SUP]
Affiliations
- PMID: 34262041
- DOI: 10.1038/s41467-021-24566-y
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.