Evidence map›Paper›PMID 41100711›Full record

ReviewAnnual review of pathology2026

Mechanisms of Norovirus Immunity: Implications for Vaccine Design.

Arya B Ökten, Joseph E Craft, Craig B Wilen

Abstract readReview
In one paragraph

Review in Annual review of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Arya B ÖktenDepartment of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA; email: craig.wilen@yale.edu.
Joseph E CraftDepartment of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA; email: craig.wilen@yale.edu.
Craig B WilenDepartment of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA; email: craig.wilen@yale.edu.

Funding

INTERDISCIPLINARY IMMUNOLOGY TRAINING PROGRAMT32AI007019 · NIAID · YALE UNIVERSITY · PI Carrie L. Lucas, David G. Schatz · 1985 to 2026
$14.4M
The role of tuft cells in norovirus pathogenesisR01AI148467 · NIAID · YALE UNIVERSITY · PI Craig Brian Wilen · 2020 to 2026
$3.9M
NIAID NIH HHS R01 AI148467NIAID NIH HHS T32 AI007019
6 · The paper itself

Abstract

Human noroviruses are the predominant cause of acute gastroenteritis globally, causing significant morbidity and mortality especially in low- and middle-income countries. Despite this immense public health burden, there are no commercially available vaccines or antiviral drugs, highlighting a critical unmet medical need. Norovirus vaccine development faces several challenges including extensive viral diversity and limited mechanistic understanding of protective immunity. While several vaccine candidates-including virus-like particle, adenovirus-vector, and mRNA-lipid nanoparticle vaccines-are in clinical trials, none have achieved complete protection in adults or demonstrated efficacy in young children. Understanding the mechanisms underlying norovirus immunity and the relative importance of mucosal responses remains crucial for vaccine optimization. Continued research addressing these basic questions, along with strategic antigen selection and platform optimization, is essential to overcome current limitations to the development of broadly protective norovirus vaccines.

Indexed as

Caliciviridae InfectionsGastroenteritisNorovirusViral VaccinesAnimalsHumansVaccine DevelopmentViral VaccinesIgAmucosal immunitynorovirusvaccinesviral gastroenteritis

Identifiers

PMID41100711
PMCPMC13020347

What OpenQuestion holds

Textmetadata
LicenceTDM
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.