Evidence map›Paper›PMID 40950014›Full record

ArticlebioRxiv : the preprint server for biology2025

Near real-time data on the human neutralizing antibody landscape to influenza virus to inform vaccine-strain selection in September 2025.

Caroline Kikawa, John Huddleston, Andrea N Loes, Sam A Turner, Jover Lee, Ian G Barr, Benjamin J Cowling, Janet A Englund, Alexander L Greninger, Ruth Harvey and 10 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

20 authors.

Caroline KikawaDivision of Basic Sciences and Computational Biology Program, Fred Hutch Cancer Center, Seattle, WA.ORCID 0000-0002-8654-5663
John HuddlestonVaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA.ORCID 0000-0002-4250-2063
Andrea N LoesDivision of Basic Sciences and Computational Biology Program, Fred Hutch Cancer Center, Seattle, WA.ORCID 0000-0002-8659-0149
Sam A TurnerCenter for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge, UK.
Jover LeeVaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA.
Ian G BarrWHO Collaborating Centre for Reference and Research on Influenza, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia.
Benjamin J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.ORCID 0000-0002-6297-7154
Janet A EnglundSeattle Children's Research Institute, Seattle, WA.ORCID 0000-0003-1134-4178
Alexander L GreningerVirology Division, Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA, USA.ORCID 0000-0002-7443-0527
Ruth HarveyWorldwide Influenza Centre, The Francis Crick Institute, London, UK.
Hideki HasegawaInfluenza Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Faith HoWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.
Kirsten LacombeSeattle Children's Research Institute, Seattle, WA.
Nancy H L LeungWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.ORCID 0000-0001-7314-840X
Nicola S LewisWorldwide Influenza Centre, The Francis Crick Institute, London, UK.
Heidi PeckWHO Collaborating Centre for Reference and Research on Influenza, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia.
Shinji WatanabeInfluenza Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Derek J SmithCenter for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge, UK.
Trevor BedfordVaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA.ORCID 0000-0002-4039-5794
Jesse D BloomDivision of Basic Sciences and Computational Biology Program, Fred Hutch Cancer Center, Seattle, WA.ORCID 0000-0003-1267-3408

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Thomas James Lynch · 1985 to 2026
$296.4M
NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
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
Forecasting influenza evolution on a heterogeneous immune landscapeR01AI165821 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jesse D Bloom, JOHN HUDDLESTON · 2022 to 2026
$3.0M
Integrating measurements of immune escape and in vitro replication with computational models to understand and predict the antigenic evolution of seasonal A/H3N2 influenza virusesR01AI165818 · NIAID · UNIVERSITY OF CAMBRIDGE · PI Derek James Smith · 2022 to 2026
$2.6M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
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
NCI NIH HHS P30 CA015704NIAID NIH HHS 75N93021C00014NIAID NIH HHS 75N93021C00015NIAID NIH HHS F30 AI186284NIAID NIH HHS R01 AI165818NIAID NIH HHS R01 AI165821NIH HHS S10 OD020069NIH HHS S10 OD028685
6 · The paper itself

Abstract

The hemagglutinin of human influenza virus evolves rapidly to erode neutralizing antibody immunity. Twice per year, new vaccine strains are selected with the goal of providing maximum protection against the viruses that will be circulating when the vaccine is administered ~8-12 months in the future. To help inform this selection, here we quantify how the antibodies in recently collected human sera neutralize viruses with hemagglutinins from contemporary influenza strains. Specifically, we use a high-throughput sequencing-based neutralization assay to measure how 188 human sera collected from Oct 2024 to April 2025 neutralize 140 viruses representative of the H3N2 and H1N1 strains circulating in humans as of the summer of 2025. This data set, which encompasses 26,148 neutralization titer measurements, provides a detailed portrait of the current human neutralizing antibody landscape to influenza A virus. The full data set and accompanying visualizations are available for use in vaccine development and viral forecasting.

Identifiers

PMID40950014
PMCPMC12425000

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.