Evidence map›Paper›PMID 41757210›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Mapping the specificity of H3N2 strain-specific and cross-reactive human neutralizing antibodies elicited by the 2025-2026 influenza vaccine.

Jiaojiao Liu, Sydney Gang, Caroline Kikawa, Alesandra J Rodriguez, Shuk Hang Li, Naiqing Ye, Tachianna Griffiths, Elizabeth M Drapeau, Reilly K Atkinson, Andrea N Loes and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Jiaojiao LiuDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sydney GangDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Caroline KikawaDivision of Basic Sciences and Computational Biology Program, Fred Hutch Cancer Center, Seattle, WA.
Alesandra J RodriguezDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA.
Shuk Hang LiDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Naiqing YeDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Tachianna GriffithsDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Elizabeth M DrapeauDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Reilly K AtkinsonDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Andrea N LoesDivision of Basic Sciences and Computational Biology Program, Fred Hutch Cancer Center, Seattle, WA.
Ronald G CollmanDivision of Basic Sciences and Computational Biology Program, Fred Hutch Cancer Center, Seattle, WA.
James A FergusonDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA.
Julianna HanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA.
Andrew B WardDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA.
Jesse D BloomDivision of Basic Sciences and Computational Biology Program, Fred Hutch Cancer Center, Seattle, WA.
Scott E HensleyDepartment of Microbiology and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-2928-7506

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
Next-generation sequencing-based neutralization assays to forecast influenza virus clade growth.F30AI186284 · NIAID · UNIVERSITY OF WASHINGTON · PI Caroline Sakura Kikawa · 2025 to 2026
$92k
NIAID NIH HHS F30 AI186284NIH HHS 75N93021C00015
6 · The paper itself

Abstract

An H3N2 variant, named subclade K, continues to circulate widely during the 2025-2026 influenza season. This virus possesses a hemagglutinin (HA) protein that has eleven substitutions relative to the HA of the Northern Hemisphere 2025-2026 H3N2 vaccine strain. Many of these substitutions are in epitopes in well-characterized HA antigenic sites. Despite this, interim vaccine effectiveness studies indicate that the 2025-2026 influenza vaccine provides moderate protection against H3N2 subclade K infection. We previously reported that many individuals who received the 2025-2026 influenza vaccine produced antibodies that inhibit H3N2 subclade K virus cellular attachment. Here, we show these individuals also produced antibodies that neutralize H3N2 subclade K virus infection, and we observed a strong correlation between hemagglutination-inhibition titers and neutralizing antibody titers. We completed additional specificity studies using samples from individuals who did or did not have antibodies that cross-reacted to H3N2 subclade K viruses. Using high-throughput neutralization assays, we determined that antibodies that bound to the vaccine strain but not H3N2 subclade K viruses typically targeted antigenic site B of HA. Conversely, we found that cross-reactive neutralizing antibodies elicited by vaccination commonly targeted antigenic site A, D, and E of HA that are conserved between the vaccine strain and H3N2 subclade K viruses. Additional electron microscopy-based polyclonal epitope mapping studies confirmed that cross-reactive antibodies elicited by vaccination typically target epitopes on the side of HA. Together, our studies provide an immunological explanation of why the 2025-2026 influenza vaccine was partially effective against antigenically advance H3N2 subclade K viruses. Our data suggest that vaccine strains for subsequent seasons need to be carefully considered, since subclade K viruses have already started to acquire additional substitutions in HA antigenic sites targeted by cross-reactive antibodies.

Identifiers

PMID41757210
PMCPMC12934856

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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.