Evidence map›Paper›PMID 41081510›Full record

ArticleJournal of virology2025

Spike mutations that affect the function and antigenicity of recent KP.3.1.1-like SARS-CoV-2 variants.

Bernadeta Dadonaite, Sheri Harari, Brendan B Larsen, Lucas Kampman, Alex Harteloo, Anna Elias-Warren, Helen Y Chu, Jesse D Bloom

Abstract read
In one paragraph

Article in Journal of virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Bernadeta DadonaiteBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID 0000-0003-0908-6982
Sheri HarariBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Brendan B LarsenBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Lucas KampmanBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Alex HartelooDivision of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, Washington, USA.
Anna Elias-WarrenDivision of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, Washington, USA.
Helen Y ChuDivision of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, Washington, USA.
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, 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
Structure-based design of broadly protective coronavirus vaccinesP01AI167966 · NIAID · UNIVERSITY OF WASHINGTON · PI BALI PULENDRAN · 2022 to 2026
$15.3M
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
Howard Hughes Medical InstituteNational Institute of Allergy and Infectious Diseases P01AI167966National Institute of Allergy and Infectious Diseases SAVES 75N93021C00015National Science Foundation DGE-2140004NCI NIH HHS P30 CA015704NIAID NIH HHS 75N93021C00015NIAID NIH HHS P01 AI167966NIH HHS S10 OD020069NIH HHS S10 OD028685Washington Research Foundation
6 · The paper itself

Abstract

SARS-CoV-2 is under strong evolutionary selection to acquire mutations in its spike protein that reduce neutralization by human polyclonal antibodies. Here, we use pseudovirus-based deep mutational scanning to measure how mutations to the spike from the recent KP.3.1.1 SARS-CoV-2 strain affect cell entry, binding to the ACE2 receptor, RBD up/down motion, and neutralization by human sera and clinically relevant antibodies. The spike mutations that most affect serum antibody neutralization sometimes differ between sera collected before versus after recent vaccination or infection, indicating that these exposures shift the neutralization immunodominance hierarchy. The sites where mutations cause the greatest reduction in neutralization by post-vaccination or infection sera include receptor-binding domain (RBD) sites 475, 478, and 487, all of which have mutated in recent SARS-CoV-2 variants. Multiple mutations outside the RBD affect sera neutralization as strongly as any RBD mutations by modulating the RBD up/down movement. Some sites that affect RBD up/down movement have mutated in recent SARS-CoV-2 variants. Finally, we measure how spike mutations affect neutralization by three clinically relevant SARS-CoV-2 antibodies: VYD222, BD55-1205, and SA55. Overall, these results illuminate the current constraints and pressures shaping SARS-CoV-2 evolution and can help with efforts to forecast possible future antigenic changes that may impact vaccines or clinical antibodies.IMPORTANCEThis study measures how mutations to the spike of a SARS-CoV-2 variant that circulated in early 2025 affect its function and recognition by both the polyclonal antibodies produced by the human immune system and monoclonal antibodies used as prophylactics. These measurements are made with a pseudovirus system that enables safe study of viral protein mutations using virions that can only infect cells once. The study identifies mutations that decrease recognition by current human antibody immunity; many of these mutations are increasingly being observed in new viral variants. It also shows the importance of mutations that move the spike's receptor-binding domain up or down. Overall, these results are useful for forecasting viral evolution and assessing which newly emerging variants have reduced recognition by immunity and antibody prophylactics.

Indexed as

COVID-19MutationSARS-CoV-2Spike Glycoprotein, CoronavirusAngiotensin-Converting Enzyme 2Antibodies, NeutralizingAntibodies, ViralHumansVirus InternalizationACE2 protein, humanAngiotensin-Converting Enzyme 2Antibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ACE2antibody escapeantigenic evolutionDMSevolutionKP.3.1.1RBDreceptor bindingSARS-CoV-2spike

Identifiers

PMID41081510
PMCPMC12614646

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.