tetano
Editor, Senior Moderator
PLoS Pathog. 2019 Dec 19;15(12):e1008109. doi: 10.1371/journal.ppat.1008109. eCollection 2019 Dec. [h=1]Childhood immune imprinting to influenza A shapes birth year-specific risk during seasonal H1N1 and H3N2 epidemics.[/h]
Gostic KM[SUP]1[/SUP], Bridge R[SUP]2[/SUP], Brady S[SUP]2[/SUP], Viboud C[SUP]3[/SUP], Worobey M[SUP]4[/SUP], Lloyd-Smith JO[SUP]1,[/SUP][SUP]3[/SUP].
[h=3]Author information[/h] 1 Dept. of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America. 2 Arizona Department of Health Services, Phoenix, Arizona, United States of America. 3 Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America. 4 Dept. of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, United States of America.
[h=3]Abstract[/h] Across decades of co-circulation in humans, influenza A subtypes H1N1 and H3N2 have caused seasonal epidemics characterized by different age distributions of cases and mortality. H3N2 causes the majority of severe, clinically attended cases in high-risk elderly cohorts, and the majority of overall deaths, whereas H1N1 causes fewer deaths overall, and cases shifted towards young and middle-aged adults. These contrasting age profiles may result from differences in childhood imprinting to H1N1 and H3N2 or from differences in evolutionary rate between subtypes. Here we analyze a large epidemiological surveillance dataset to test whether childhood immune imprinting shapes seasonal influenza epidemiology, and if so, whether it acts primarily via homosubtypic immune memory or via broader, heterosubtypic memory. We also test the impact of evolutionary differences between influenza subtypes on age distributions of cases. Likelihood-based model comparison shows that narrow, within-subtype imprinting shapes seasonal influenza risk alongside age-specific risk factors. The data do not support a strong effect of evolutionary rate, or of broadly protective imprinting that acts across subtypes. Our findings emphasize that childhood exposures can imprint a lifelong immunological bias toward particular influenza subtypes, and that these cohort-specific biases shape epidemic age distributions. As a consequence, newer and less "senior" antibody responses acquired later in life do not provide the same strength of protection as responses imprinted in childhood. Finally, we project that the relatively low mortality burden of H1N1 may increase in the coming decades, as cohorts that lack H1N1-specific imprinting eventually reach old age.
PMID: 31856206 DOI: 10.1371/journal.ppat.1008109
Gostic KM[SUP]1[/SUP], Bridge R[SUP]2[/SUP], Brady S[SUP]2[/SUP], Viboud C[SUP]3[/SUP], Worobey M[SUP]4[/SUP], Lloyd-Smith JO[SUP]1,[/SUP][SUP]3[/SUP].
[h=3]Author information[/h] 1 Dept. of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America. 2 Arizona Department of Health Services, Phoenix, Arizona, United States of America. 3 Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America. 4 Dept. of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, United States of America.
[h=3]Abstract[/h] Across decades of co-circulation in humans, influenza A subtypes H1N1 and H3N2 have caused seasonal epidemics characterized by different age distributions of cases and mortality. H3N2 causes the majority of severe, clinically attended cases in high-risk elderly cohorts, and the majority of overall deaths, whereas H1N1 causes fewer deaths overall, and cases shifted towards young and middle-aged adults. These contrasting age profiles may result from differences in childhood imprinting to H1N1 and H3N2 or from differences in evolutionary rate between subtypes. Here we analyze a large epidemiological surveillance dataset to test whether childhood immune imprinting shapes seasonal influenza epidemiology, and if so, whether it acts primarily via homosubtypic immune memory or via broader, heterosubtypic memory. We also test the impact of evolutionary differences between influenza subtypes on age distributions of cases. Likelihood-based model comparison shows that narrow, within-subtype imprinting shapes seasonal influenza risk alongside age-specific risk factors. The data do not support a strong effect of evolutionary rate, or of broadly protective imprinting that acts across subtypes. Our findings emphasize that childhood exposures can imprint a lifelong immunological bias toward particular influenza subtypes, and that these cohort-specific biases shape epidemic age distributions. As a consequence, newer and less "senior" antibody responses acquired later in life do not provide the same strength of protection as responses imprinted in childhood. Finally, we project that the relatively low mortality burden of H1N1 may increase in the coming decades, as cohorts that lack H1N1-specific imprinting eventually reach old age.
PMID: 31856206 DOI: 10.1371/journal.ppat.1008109