Evidence map›Paper›PMID 38956295›Full record

ArticleScientific reports2024

Bacillaceae serine proteases and Streptomyces epsilon-poly-L-lysine synergistically inactivate Caliciviridae by inhibiting RNA genome release.

Soh Yamamoto, Noriko Ogasawara, Yuka Sudo-Yokoyama, Sachiko Sato, Nozomu Takata, Nana Yokota, Tomomi Nakano, Kyoko Hayashi, Akira Takasawa, Mayumi Endo and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Gingipain proteases from the bacteriumProceedings of the National Academy of Sciences of the United States of America · 2026
    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

18 authors.

Soh YamamotoDepartment of Microbiology, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Noriko OgasawaraDepartment of Microbiology, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan. ogasawara.n@sapmed.ac.jp.
Yuka Sudo-YokoyamaDepartment of Microbiology, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Sachiko SatoDepartment of Microbiology, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Nozomu TakataCenter for Vascular and Developmental Biology, Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Nana YokotaYokohama R&D Center, JNC Corporation, Yokohama, 236-8605, Japan.
Tomomi NakanoYokohama R&D Center, JNC Corporation, Yokohama, 236-8605, Japan.
Kyoko HayashiCollege of Life and Health Sciences, Chubu University, Kasugai, 487-8501, Japan.
Akira TakasawaDepartment of Pathology, Asahikawa Medical University, Asahikawa, 078-8510, Japan.
Mayumi EndoDepartment of Microbiology, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Masako HinatsuYokohama R&D Center, JNC Corporation, Yokohama, 236-8605, Japan.
Keitaro YoshidaDepartment of Microbiology, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Toyotaka SatoLaboratory of Veterinary Hygiene, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan.
Satoshi TakahashiDepartment of Infection Control and Laboratory Medicine, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Kenichi TakanoDepartment of Otolaryngology-Head and Neck Surgery, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Takashi KojimaDepartment of Cell Science, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.
Jun HirakiYokohama R&D Center, JNC Corporation, Yokohama, 236-8605, Japan.
Shin-Ich YokotaDepartment of Microbiology, Sapporo Medical University School of Medicine, Sapporo, 060-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human norovirus (HuNoV) is an enteric infectious pathogen belonging to the Caliciviridae family that causes occasional epidemics. Circulating alcohol-tolerant viral particles that are readily transmitted via food-borne routes significantly contribute to the global burden of HuNoV-induced gastroenteritis. Moreover, contact with enzymes secreted by other microorganisms in the environment can impact the infectivity of viruses. Hence, understanding the circulation dynamics of Caliciviridae is critical to mitigating epidemics. Accordingly, in this study, we screened whether environmentally abundant secretase components, particularly proteases, affect Caliciviridae infectivity. Results showed that combining Bacillaceae serine proteases with epsilon-poly-L-lysine (EPL) produced by Streptomyces-a natural antimicrobial-elicited anti-Caliciviridae properties, including against the epidemic HuNoV GII.4_Sydney_2012 strain. In vitro and in vivo biochemical and virological analyses revealed that EPL has two unique synergistic viral inactivation functions. First, it maintains an optimal pH to promote viral surface conformational changes to the protease-sensitive structure. Subsequently, it inhibits viral RNA genome release via partial protease digestion at the P2 and S domains in the VP1 capsid. This study provides new insights regarding the high-dimensional environmental interactions between bacteria and Caliciviridae, while promoting the development of protease-based anti-viral disinfectants.

Indexed as

BacillaceaePolylysineSerine ProteasesStreptomycesAnimalsAntiviral AgentsCaliciviridaeGenome, ViralHumansNorovirusRNA, ViralVirus InactivationAntiviral AgentsPolylysineRNA, ViralSerine ProteasesBacillaceae serine proteasesCaliciviridaeEpsilon-poly-l-lysineHuman norovirusNatural products

Identifiers

PMID38956295
PMCPMC11219925

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Registered trials

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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.