Evidence map›Paper›PMID 31856206›Full record

ArticlePLoS pathogens2019

Childhood immune imprinting to influenza A shapes birth year-specific risk during seasonal H1N1 and H3N2 epidemics.

Katelyn M Gostic, Rebecca Bridge, Shane Brady, Cécile Viboud, Michael Worobey, James O Lloyd-Smith

Abstract read
In one paragraph

Article in PLoS pathogens, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

116 citing papers in PubMed.

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56 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katelyn M GosticDept. of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0002-9369-6371
Rebecca BridgeArizona Department of Health Services, Phoenix, Arizona, United States of America.
Shane BradyArizona Department of Health Services, Phoenix, Arizona, United States of America.
Cécile ViboudFogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America.
Michael WorobeyDept. of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, United States of America.
James O Lloyd-SmithDept. of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0001-7941-502X

Funding

Systems in Integrative BiologyT32GM008185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHOU, TOM · 1987 to 2022
$4.6M
Epidemiological impacts of broadly protective childhood HA imprinting on seasonal and pandemic influenzaF31AI134017 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOSTIC, KATELYN MARIE · 2017 to 2018
$76k
NIAID NIH HHS F31 AI134017NIGMS NIH HHS T32 GM008185
6 · The paper itself

Abstract

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.

Indexed as

EpidemicsAdultChildFemaleHumansImmunologic MemoryInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanMale

Identifiers

PMID31856206
PMCPMC6922319

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.