Evidence map›Paper›PMID 29026122›Full record

ArticleScientific reports2017

Nanoparticulate vacuolar ATPase blocker exhibits potent host-targeted antiviral activity against feline coronavirus.

Che-Ming Jack Hu, Wei-Shan Chang, Zih-Syun Fang, You-Ting Chen, Wen-Lin Wang, Hsiao-Han Tsai, Ling-Ling Chueh, Tomomi Takano, Tsutomu Hohdatsu, Hui-Wen Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% of its field
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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Antiviral activity ofThe veterinary quarterly · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Isolation and molecular characteristics of a recombinant feline calicivirus from Qingdao, China.Veterinary research forum : an international quarterly journal · 2023
    Article
  13. Article
  14. Quantum dots against SARS-CoV-2: diagnostic and therapeutic potentials.Journal of chemical technology and biotechnology (Oxford, Oxfordshire : 1986) · 2022
    Review
  15. Review
  16. Article
  17. Article
  18. Nanotechnology Toolkit for Combating COVID-19 and Beyond.ChemNanoMat : chemistry of nanomaterials for energy, biology and more · 2022
    Review
  19. Article
  20. Nanotechnology: A Potential Weapon to Fight against COVID-19.Particle & particle systems characterization : measurement and description of particle properties and behavior in powders and other disperse systems · 2022
    Review
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

10 authors at 3 institutions in 2 countries.

Che-Ming Jack HuInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Wei-Shan ChangDepartment of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.
Zih-Syun FangInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
You-Ting ChenDepartment of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.
Wen-Lin WangDepartment of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.
Hsiao-Han TsaiInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Ling-Ling ChuehDepartment of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.
Tomomi TakanoSchool of Veterinary Medicine, Kitasato University, Towada, Aomori, Japan.
Tsutomu HohdatsuSchool of Veterinary Medicine, Kitasato University, Towada, Aomori, Japan.
Hui-Wen ChenResearch Center for Nanotechnology and Infectious Diseases, Taipei, Taiwan. winnichen@ntu.edu.tw.
National Taiwan University · TWInstitute of Biomedical Sciences, Academia Sinica · TWKitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feline infectious peritonitis (FIP), caused by a mutated feline coronavirus, is one of the most serious and fatal viral diseases in cats. The disease remains incurable, and there is no effective vaccine available. In light of the pathogenic mechanism of feline coronavirus that relies on endosomal acidification for cytoplasmic entry, a novel vacuolar ATPase blocker, diphyllin, and its nanoformulation are herein investigated for their antiviral activity against the type II feline infectious peritonitis virus (FIPV). Experimental results show that diphyllin dose-dependently inhibits endosomal acidification in fcwf-4 cells, alters the cellular susceptibility to FIPV, and inhibits the downstream virus replication. In addition, diphyllin delivered by polymeric nanoparticles consisting of poly(ethylene glycol)-block-poly(lactide-co-glycolide) (PEG-PLGA) further demonstrates an improved safety profile and enhanced inhibitory activity against FIPV. In an in vitro model of antibody-dependent enhancement of FIPV infection, diphyllin nanoparticles showed a prominent antiviral effect against the feline coronavirus. In addition, the diphyllin nanoparticles were well tolerated in mice following high-dose intravenous administration. This study highlights the therapeutic potential of diphyllin and its nanoformulation for the treatment of FIP.

Indexed as

AnimalsAntiviral AgentsBenzodioxolesCatsCell LineCoronavirus, FelineDisease Models, AnimalEndosomesEnzyme InhibitorsFeline Infectious PeritonitisHost-Pathogen InteractionsLignansNanoparticlesPolyethylene GlycolsVacuolar Proton-Translocating ATPasesAntiviral AgentsBenzodioxolesdiphyllinEnzyme InhibitorsLignansPolyethylene GlycolsVacuolar Proton-Translocating ATPases

Identifiers

PMID29026122
PMCPMC5638965
OpenAlexW2762809945

What OpenQuestion holds

Textmetadata
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.