Evidence map›Paper›PMID 39315814›Full record

ArticleJournal of virology2024

High-throughput sequencing-based neutralization assay reveals how repeated vaccinations impact titers to recent human H1N1 influenza strains.

Andrea N Loes, Rosario Araceli L Tarabi, John Huddleston, Lisa Touyon, Sook San Wong, Samuel M S Cheng, Nancy H L Leung, William W Hannon, Trevor Bedford, Sarah Cobey and 2 more

Abstract read
In one paragraph

Article in Journal of virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Preliminary Findings From the Dynamics of the Immune Responses to Repeat Influenza Vaccination Exposures (DRIVE I) Study: A Randomized Controlled Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Andrea N LoesHoward Hughes Medical Institute, Seattle, Washington, USA.ORCID 0000-0002-8659-0149
Rosario Araceli L TarabiDivision of Basic Sciences, Computational Biology Program, and Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
John HuddlestonDivision of Basic Sciences, Computational Biology Program, and Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Lisa TouyonHKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
Sook San WongHKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
Samuel M S ChengWorld Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
Nancy H L LeungWorld Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
William W HannonDivision of Basic Sciences, Computational Biology Program, and Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Trevor BedfordHoward Hughes Medical Institute, Seattle, Washington, USA.
Sarah CobeyDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA.
Benjamin J CowlingWorld Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
Jesse D BloomHoward Hughes Medical Institute, Seattle, Washington, USA.ORCID 0000-0003-1267-3408

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
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
The "Dynamics of the immune responses to repeat influenza vaccination exposures" (DRIVE) StudyU01AI153700 · NIAID · UNIVERSITY OF CHICAGO · PI COBEY, SARAH, COWLING, BENJAMIN JOHN · 2020 to 2024
$6.2M
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
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
NCI NIH HHS P30 CA015704NIAID NIH HHS 75N93021C00015NIAID NIH HHS R01 AI165821NIAID NIH HHS U01 AI153700NIH HHS S10 OD020069NIH HHS S10 OD028685
6 · The paper itself

Abstract

The high genetic diversity of influenza viruses means that traditional serological assays have too low throughput to measure serum antibody neutralization titers against all relevant strains. To overcome this challenge, we developed a sequencing-based neutralization assay that simultaneously measures titers against many viral strains using small serum volumes using a workflow similar to traditional neutralization assays. The key innovation is to incorporate unique nucleotide barcodes into the hemagglutinin (HA) genomic segment, and then pool viruses with numerous different barcoded HA variants and quantify the infectivity of all of them simultaneously using next-generation sequencing. With this approach, a single researcher performed the equivalent of 2,880 traditional neutralization assays (80 serum samples against 36 viral strains) in approximately 1 month. We applied the sequencing-based assay to quantify the impact of influenza vaccination on neutralization titers against recent human H1N1 strains for individuals who had or had not also received a vaccine in the previous year. We found that the viral strain specificities of the neutralizing antibodies elicited by vaccination vary among individuals and that vaccination induced a smaller increase in titers for individuals who had also received a vaccine the previous year-although the titers 6 months after vaccination were similar in individuals with and without the previous-year vaccination. We also identified a subset of individuals with low titers to a subclade of recent H1N1 even after vaccination. We provide an experimental protocol (dx.doi.org/10.17504/protocols.io.kqdg3xdmpg25/v1) and computational pipeline (https://github.com/jbloomlab/seqneut-pipeline) for the sequencing-based neutralization assays to facilitate the use of this method by others. IMPORTANCE: We describe a new approach that can rapidly measure how the antibodies in human serum inhibit infection by many different influenza strains. This new approach is useful for understanding how viral evolution affects antibody immunity. We apply the approach to study the effect of repeated influenza vaccination.

Indexed as

Antibodies, NeutralizingAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusHigh-Throughput Nucleotide SequencingInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesNeutralization TestsVaccinationAdultFemaleHumansAntibodies, NeutralizingAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza Vaccinesinfluenzainfluenza vaccinesneutralization assaynext-generation sequencing

Identifiers

PMID39315814
PMCPMC11494878

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.