Evidence map›Paper›PMID 39949182›Full record

ArticleMicrobiology and immunology2025

Serological Evidence of Cetacean Morbillivirus Infection in Common Bottlenose Dolphins in Japan.

Kaede Tashiro, Takao Segawa, Kiyotaka Konishi, Fumio Seki, Hiroshi Katoh, Toshiaki Ishibashi, Makoto Takeda, Takuya Itou

Abstract read
In one paragraph

Article in Microbiology and immunology, 2025. 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.

No citing paper in PubMed yet.

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

8 authors.

Kaede TashiroDepartment of Veterinary Medicine, College of Bioresource Sciences, Laboratory of Preventive Veterinary Medicine and Animal Health, Kanagawa, Japan.
Takao SegawaDepartment of Veterinary Medicine, College of Bioresource Sciences, Laboratory of Preventive Veterinary Medicine and Animal Health, Kanagawa, Japan.
Kiyotaka KonishiDepartment of Microbiology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Fumio SekiDepartment of Virology 3, National Institute of Infectious Diseases, Tokyo, Japan.ORCID http://orcid.org/0000-0002-6144-468X
Hiroshi KatohDepartment of Microbiology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Toshiaki IshibashiJapan Aquarium Association, Tokyo, Japan.
Makoto TakedaDepartment of Microbiology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-8194-7727
Takuya ItouDepartment of Veterinary Medicine, College of Bioresource Sciences, Laboratory of Preventive Veterinary Medicine and Animal Health, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-8570-6576

Funding

This work was supported by the Japan Society for the Promotion of Science KAKENHI; the Japan Agency for Medical Research and Development.
6 · The paper itself

Abstract

This study revealed that 41.9% of wild-born Japanese captive dolphins (18 out of 43 dolphins) have neutralizing antibodies specific to cetacean morbillivirus (CeMV). This finding indicates a widespread yet undetected CeMV infection among wild dolphins in the waters around Japan, occurring without notable epidemic or mass mortality of dolphins.

Indexed as

Antibodies, ViralBottle-Nosed DolphinMorbillivirusMorbillivirus InfectionsAnimalsAntibodies, NeutralizingJapanSeroepidemiologic StudiesAntibodies, NeutralizingAntibodies, Viralbottlenose dolphincetacean morbillivirusJapanneutralizing antibodyNorth PacificSerology

Identifiers

PMID39949182
PMCPMC12050910

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.