Evidence map›Paper›PMID 42546031›Full record

ArticlePLoS pathogens2026

Nelson Bay Orthoreovirus cell attachment protein σC determines strain-specific differences in infectivity and pathogenesis.

Takahiro Kawagishi, Yusuke Sakai, Hiroya Oki, Ryotaro Nouda, Yuta Kanai, Kazuki Kawahara, Shota Nakamura, Masayuki Shimojima, Masayuki Saijo, Yoshiharu Matsuura and 1 more

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Article in PLoS pathogens, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Takahiro KawagishiDepartment of Virology, Research Institute for Microbial Diseases (RIMD), The University of Osaka, Osaka, Japan.
Yusuke SakaiDepartment of Infectious Disease Pathology, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Hiroya OkiGraduate School of Pharmaceutical Sciences, The University of Osaka, Osaka, Japan.
Ryotaro NoudaDepartment of Virology, Research Institute for Microbial Diseases (RIMD), The University of Osaka, Osaka, Japan.
Yuta KanaiDepartment of Virology, Research Institute for Microbial Diseases (RIMD), The University of Osaka, Osaka, Japan.
Kazuki KawaharaGraduate School of Pharmaceutical Sciences, The University of Osaka, Osaka, Japan.
Shota NakamuraDepartment of Infectious Metagenomics, Research Institute for Microbial Diseases (RIMD), The University of Osaka, Osaka, Japan.
Masayuki ShimojimaDepartment of Virology I, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Masayuki SaijoDepartment of Virology I, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Yoshiharu MatsuuraCenter for Advanced Modalities and DDS (CAMaD), The University of Osaka, Osaka, Japan.
Takeshi KobayashiDepartment of Virology, Research Institute for Microbial Diseases (RIMD), The University of Osaka, Osaka, Japan.ORCID 0000-0002-5532-207X

Funding

KAKENHI
6 · The paper itself

Abstract

Nelson Bay orthoreovirus (NBV) was initially discovered in a bat sample but has since been isolated from patients with acute respiratory tract diseases. Accumulating reports of NBV isolation from patients with respiratory tract viral infections suggest that NBV is able to transmit and cause disease in humans. However, the underlying molecular mechanisms remain unclear. We previously established a reverse genetics system for NBV Miyazaki-Bali/2007 (MB) strain isolated from a patient with an acute respiratory tract disease. We found that the fusion-associated small transmembrane protein (FAST)-which is necessary for syncytium formation-and cell attachment protein σC play crucial roles in MB virulence; however, whether these gene products determine the strain-specific difference in NBV virulence remains unclear. Therefore, here, we compared the virulence of the MB strain with that of the NBV strain isolated from a bat sample (NelB strain). We found that the NelB strain did not cause a virulent phenotype in the mouse model. Using reverse genetics, we found that the S1 gene segment correlates with the virulent phenotypes of NBV strains. Moreover, among the three proteins encoded by the S1 gene segment, structural protein σC, but not nonstructural proteins FAST or p17, contributed to the difference in virulence in vivo. Further analysis using a panel of σC mutant viruses showed that the middle body domain in σC was involved in the different virulent phenotypes, rather than the C-terminal head domain, which contains a putative receptor-binding domain. These results provide new insights into the mechanisms underlying NBV transmission and pathogenesis.

Indexed as

OrthoreovirusReoviridae InfectionsSigma FactorAnimalsChiropteraHumansMiceVirulenceSigma Factor

Identifiers

PMID42546031
PMCPMC13432128

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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.