Evidence map›Paper›PMID 38168237›Full record

ArticlebioRxiv : the preprint server for biology2023

Age-dependent heterogeneity in the antigenic effects of mutations to influenza hemagglutinin.

Frances C Welsh, Rachel T Eguia, Juhye M Lee, Hugh K Haddox, Jared Galloway, Nguyen Van Vinh Chau, Andrea N Loes, John Huddleston, Timothy C Yu, Mai Quynh Le and 9 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 13 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 7 institutions in 3 countries.

Frances C WelshMolecular and Cellular Biology Graduate Program, University of Washington, and Basic Sciences Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA.
Rachel T EguiaBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
Juhye M LeeBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.ORCID 0000-0002-8133-2562
Hugh K HaddoxBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.ORCID 0000-0001-8324-8324
Jared GallowayBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
Nguyen Van Vinh ChauWellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Andrea N LoesBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.ORCID 0000-0002-8659-0149
John HuddlestonVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.ORCID 0000-0002-4250-2063
Timothy C YuMolecular and Cellular Biology Graduate Program, University of Washington, and Basic Sciences Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA.
Mai Quynh LeNational Institutes for Hygiene and Epidemiology, Hanoi, Vietnam.
Nguyen T D NhatWellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Nguyen Thi Le ThanhWellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Alexander L GreningerDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, 98195, USA.ORCID 0000-0002-7443-0527
Helen Y ChuDivision of Allergy and Infectious Diseases, University of Washington School of Medicine, Seattle, WA, 98195, USA.ORCID 0000-0003-1499-4096
Janet A EnglundSeattle Children's Research Institute, Seattle, WA, 98109, USA.ORCID 0000-0003-1134-4178
Trevor BedfordHoward Hughes Medical Institute, Seattle, WA, 98109, USA.ORCID 0000-0002-4039-5794
Frederick A MatsenBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.ORCID 0000-0003-0607-6025
Maciej F BoniWellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.ORCID 0000-0002-0830-9630
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.ORCID 0000-0003-1267-3408
Howard Hughes Medical Institute · USUniversity of Washington · USFred Hutch Cancer Center · USOxford University Clinical Research Unit · VNNational Institute Of Hygiene And Epidemiology · VNPennsylvania State University · USUniversity of Oxford · GB

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
TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Blending deep learning with probabilistic mechanistic models to predict and understand the evolution and function of adaptive immune receptorsR01AI146028 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2019 to 2024
$3.4M
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 AI146028NIAID NIH HHS R01 AI165821NIGMS NIH HHS T32 GM007270NIH HHS S10 OD020069NIH HHS S10 OD028685Wellcome Trust
6 · The paper itself

Abstract

Human influenza virus evolves to escape neutralization by polyclonal antibodies. However, we have a limited understanding of how the antigenic effects of viral mutations vary across the human population, and how this heterogeneity affects virus evolution. Here we use deep mutational scanning to map how mutations to the hemagglutinin (HA) proteins of the A/Hong Kong/45/2019 (H3N2) and A/Perth/16/2009 (H3N2) strains affect neutralization by serum from individuals of a variety of ages. The effects of HA mutations on serum neutralization differ across age groups in ways that can be partially rationalized in terms of exposure histories. Mutations that fixed in influenza variants after 2020 cause the greatest escape from sera from younger individuals. Overall, these results demonstrate that influenza faces distinct antigenic selection regimes from different age groups, and suggest approaches to understand how this heterogeneous selection shapes viral evolution.

Identifiers

PMID38168237
PMCPMC10760046
OpenAlexW4389684428

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.