Evidence map›Paper›PMID 42267847›Full record

ArticlemSphere2026

Antigenic mapping of H2 influenza viruses recognized by ferret and human sera and predicting antigenically significant sites.

Z Beau Reneer, Cameron Ngyen, Matthew R Corn, Jordan L Paugh, Owen C Reynolds, Eric O'Hara, Ted M Ross, Ralph S Baric

Abstract read
In one paragraph

Article in mSphere, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Z Beau ReneerDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-5685-000X
Cameron NgyenDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Matthew R CornSchool of Medicine, Mercer University, Savannah, Georgia, USA.
Jordan L PaughMedical College of Georgia, Augusta, Georgia, USA.
Owen C ReynoldsDepartment of Computer Science, University of Georgia, Athens, Georgia, USA.
Eric O'HaraAugusta University/University of Georgia Medical Partnership, Athens, Georgia, USA.
Ted M RossFlorida Research and Innovation Center, Cleveland Clinic, Port St. Lucie, Florida, USA.ORCID 0000-0003-1947-7469
Ralph S BaricDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-6827-8701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza viruses cause hundreds of thousands of infections globally every year. In the past century, seasonal influenza viruses have included H1N1, H2N2, and H3N2 strains. H2N2 influenza viruses circulated in the human population between 1957 and 1968. Previously, our group demonstrated a lack of H2N2 influenza virus immunity in individuals born after 1968, as well as the effectiveness of hemagglutinin (HA)-based vaccines for multiple influenza virus subtypes. In this study, H2 antigenic maps and radial graphs were generated using previously published data from H2 HA vaccinations of ferrets and seasonal influenza vaccinations of humans. The antigenic maps revealed a stark difference in the clustering of HA antigens between ferrets and humans, and the radial graphs showed that specific antigen recognition varies greatly among different influenza preimmune ferrets. These maps also revealed the significant impact that different pre-existing immunities have on antigenic recognition and clustering of antigens after vaccine boost. From these data, we predicted two possible antigenically significant sites containing various mutations that have not been previously reported, and showed that one of these sites is relevant using mouse antisera.IMPORTANCEH2N2 influenza viruses have caused at least one known pandemic in humans, and are poised to cause future pandemics. Investigating the antigenic diversity of H2 hemagglutinin (HA) proteins provides valuable data for designing and understanding the performance of current and future vaccines. Data evaluating the differences in antigen recognition across differing pre-existing immunity can be used to predict antigenically significant sites and evaluate the impact of H1 and H3 infection and immune imprinting on H2 vaccine immunogenicity. This information can direct future studies when both extrapolating animal data to human studies and creating next-generation vaccines. Contrasting the relationships among new, contemporary, and ancestral H2 HA antigens by antigenic cartography is imperative for identifying new variants of concern and updating vaccine formulations.

Indexed as

Antibodies, ViralAntigens, ViralEpitope MappingHemagglutinin Glycoproteins, Influenza VirusInfluenza A Virus, H2N2 SubtypeAnimalsFerretsHumansInfluenza, HumanInfluenza VaccinesOrthomyxoviridae InfectionsAntibodies, ViralAntigens, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinescartographyH2N2influenzaviral immunity

Identifiers

PMID42267847
PMCPMC13317192

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.