Evidence map›Paper›PMID 39501522›Full record

ArticleInfluenza and other respiratory viruses2024

Measures of Population Immunity Can Predict the Dominant Clade of Influenza A (H3N2) in the 2017-2018 Season and Reveal Age-Associated Differences in Susceptibility and Antibody-Binding Specificity.

Kangchon Kim, Marcos C Vieira, Sigrid Gouma, Madison E Weirick, Scott E Hensley, Sarah Cobey

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  10. Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024
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  15. A speed limit on serial strain replacement from original antigenic sin.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. A speed limit on serial strain replacement from original antigenic sin.bioRxiv : the preprint server for biology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kangchon KimDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA.
Marcos C VieiraDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-6731-4202
Sigrid GoumaDepartment of Microbiology, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Madison E WeirickDepartment of Microbiology, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2112-8102
Scott E HensleyDepartment of Microbiology, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sarah CobeyDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA.

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
Impact of prior influenza exposures on antibody repertoires to new viral strainsR01AI108686 · NIAID · WISTAR INSTITUTE · PI HENSLEY, SCOTT ERIC · 2014 to 2022
$3.7M
National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services 1R01AI108686NIAID NIH HHS 75N93021C00015NIAID NIH HHS HHSN272201400005CNIAID NIH HHS R01 AI108686NIH HHS 75N93021C00015NIH HHS HHSN272201400005C
6 · The paper itself

Abstract

backgroundFor antigenically variable pathogens such as influenza, strain fitness is partly determined by the relative availability of hosts susceptible to infection with that strain compared with others. Antibodies to the hemagglutinin (HA) and neuraminidase (NA) confer substantial protection against influenza infection. We asked if a cross-sectional antibody-derived estimate of population susceptibility to different clades of influenza A (H3N2) could predict the success of clades in the following season.

methodsWe collected sera from 483 healthy individuals aged 1 to 90 years in the summer of 2017 and analyzed neutralizing responses to the HA and NA of representative strains using focus reduction neutralization tests (FNRT) and enzyme-linked lectin assays (ELLA). We estimated relative population-average and age-specific susceptibilities to circulating viral clades and compared those estimates to changes in clade frequencies in the following 2017-2018 season.

resultsThe clade to which neutralizing antibody titers were lowest, indicating greater population susceptibility, dominated the next season. Titer correlations between viral strains varied by age, suggesting age-associated differences in epitope targeting driven by shared past exposures. Yet substantial unexplained variation remains within age groups.

conclusionsThis study indicates how representative measures of population immunity might improve evolutionary forecasts and inform selective pressures on influenza.

Indexed as

Antibodies, NeutralizingAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza A Virus, H3N2 SubtypeInfluenza, HumanAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolCross-Sectional StudiesDisease SusceptibilityFemaleHumansAntibodies, NeutralizingAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusNeuraminidase

Identifiers

PMID39501522
PMCPMC11538025

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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.