Evidence map›Paper›PMID 40295856›Full record

ArticleNpj viruses2025

An XBB.1.5-based inactivated SARS-CoV-2 vaccine partially protects against XBB.1.5 and JN.1 strains in hamsters.

Ryuta Uraki, Mutsumi Ito, Maki Kiso, Kiyoko Iwatsuki-Horimoto, Masafumi Endo, Seiya Yamayoshi, Yoshihiro Kawaoka

Abstract read
In one paragraph

Article in Npj viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Ryuta UrakiThe Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan. ryuta-uraki@ims.u-tokyo.ac.jp.
Mutsumi ItoDivision of Virology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Maki KisoThe University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (The UTOPIA Center), Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.
Kiyoko Iwatsuki-HorimotoThe University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (The UTOPIA Center), Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.
Masafumi EndoKM Biologics Co. Ltd. (KM Biologics), Kumamoto, Japan.
Seiya YamayoshiThe Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan.
Yoshihiro KawaokaThe Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan. yoshihiro.kawaoka@wisc.edu.

Funding

Japan Agency for Medical Research and Development JP24wm0125002
6 · The paper itself

Abstract

The SARS-CoV-2 Omicron BA.2.86 variant and its descendant lineages, including JN.1, are rapidly spreading and becoming dominant globally. Vaccination is an essential primary preventative measure. While mRNA vaccines have been widely used worldwide, it is essential that we continue to prepare alternative vaccine modalities. Consistent with WHO recommendations, we developed an inactivated Omicron XBB.1.5 vaccine and assessed its efficacy against XBB.1.5 and JN.1 strains. Immunization with the inactivated XBB.1.5 vaccine induced antigen-specific antibodies leading to protection from XBB.1.5 and antigenically distinct JN.1 strains in a hamster model. In addition, we found that immunization reduced viral replication in hamster respiratory organs, suggesting protection against XBB.1.5 and JN.1 variants. Our findings highlight the potential of inactivated vaccines against evolving SARS-CoV-2 variants.

Identifiers

PMID40295856
PMCPMC11790961

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.