Evidence map›Paper›PMID 40036172›Full record

ArticleThe Journal of infectious diseases2025

Molecular Evolution and Epidemiology of Norovirus GII.4 Viruses in the United States.

Leslie Barclay, Anna M Montmayeur, Jennifer L Cannon, Michael L Mallory, Yaoska I Reyes, Helen Wall, Ralph S Baric, Lisa C Lindesmith, Jan Vinjé, Preeti Chhabra

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Global trends in norovirus genotype distribution among medically attended children with acute gastroenteritis, 2020-2025.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Chronic persistent Norovirus in the immune-compromised host.Current opinion in infectious diseases · 2025
    Review
  9. Functional diversity in GII.4 norovirus entry: HBGA binding and capsid clustering dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
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

10 authors.

Leslie BarclayDivision of Viral Diseases, Centers for Disease Control and Prevention.ORCID 0000-0002-0821-3794
Anna M MontmayeurDivision of Viral Diseases, Centers for Disease Control and Prevention.
Jennifer L CannonCDC Foundation, Atlanta, Georgia.
Michael L MalloryDepartment of Epidemiology, University of North Carolina at Chapel Hill.
Yaoska I ReyesDepartment of Epidemiology, University of North Carolina at Chapel Hill.ORCID 0000-0001-9467-2438
Helen WallCherokee Nation Operational Solutions, Arlington, Virginia.ORCID 0000-0002-2229-5773
Ralph S BaricDepartment of Epidemiology, University of North Carolina at Chapel Hill.ORCID 0000-0001-6827-8701
Lisa C LindesmithDepartment of Epidemiology, University of North Carolina at Chapel Hill.ORCID 0000-0001-9567-0522
Jan VinjéDivision of Viral Diseases, Centers for Disease Control and Prevention.ORCID 0000-0002-1530-3675
Preeti ChhabraDivision of Viral Diseases, Centers for Disease Control and Prevention.ORCID 0000-0002-7265-2556

Funding

Antibody Landscape following Human Norovirus Infection and VaccinationR01AI148260 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S · 2020 to 2024
$3.7M
National Institute of Allergy and Infectious DiseasesNIAID NIH HHS R01 AI148260NIH HHS R01AI148260
6 · The paper itself

Abstract

backgroundNoroviruses are the leading cause of acute gastroenteritis worldwide, with GII.4 Sydney viruses responsible for the majority of infections until 2023.

methodsTo study the evolutionary dynamics of GII.4 noroviruses in the United States (2011-2023), we sequenced and analyzed 406 VP1 and 335 RNA-dependent RNA polymerase sequences submitted to CaliciNet.

resultsTime-scale analysis showed that the average evolutionary rate of GII.4 strains was 5.56 × 10-3 substitutions per site per year. GII.4 Sydney viruses circulated throughout the entire study period albeit with 4 polymerase types (GII.P31, GII.P16, GII.P4 and GII.P12). From 2011-2015, GII.4 Sydney[P31] dominated followed by GII.4 Sydney[P16] from 2016-2020, and the new sub-lineage GII.4 Sydney[P16]-2020 from 2021-to present. Since 2017, we observed the emergence of 3 novel GII.4 clusters based on amino acids in VP1: GII.4 San Francisco, GII.4 Allegany, and GII.4 Wichita. GII.4 San Francisco and GII.4 Allegany had a GII.P31 RNA-dependent RNA polymerase, whereas GII.4 Wichita strains had GII.P4. GII.4 Allegany and GII.4 Wichita exhibited major amino acid substitutions in epitopes A to E, G, and H, while GII.4 San Francisco viruses have an alanine insertion in epitope A. GII.4 Allegany and GII.4 Wichita virus-like particles bound porcine gastric mucin at a similar level as GII.4 New Orleans and GII.4 Sydney. However, blocking of binding to virus-like particles by human serum pools demonstrated that their antigenicity was significantly different.

conclusionsWe identified 3 new GII.4 noroviruses cocirculating with GII.4 Sydney. Early detection of new strains will aid in tracking their spread and assessing their pandemic potential.

Indexed as

Caliciviridae InfectionsEvolution, MolecularGastroenteritisNorovirusAnimalsCapsid ProteinsGenotypeHumansMolecular EpidemiologyPhylogenyRNA-Dependent RNA PolymeraseRNA, ViralSwineUnited StatesCapsid ProteinsRNA-Dependent RNA PolymeraseRNA, Viralacute gastroenteritisGII.4 SydneyGII.4 variantsHBGA blockadenorovirusnorovirus neutralizationViruses

Identifiers

PMID40036172
PMCPMC12526873

What OpenQuestion holds

Textmetadata
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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.