Literature DB >> 32553844

In vitro inhibition of mumps virus replication by favipiravir (T-705).

Benton Lawson1, Suganthi Suppiah1, Paul A Rota1, Carole J Hickman1, Donald R Latner2.   

Abstract

During the last decade multiple mumps outbreaks have occurred in the U.S. despite high two dose MMR coverage with most cases detected among two dose MMR vaccine recipients. Waning immunity, the evolution of wild-type virus strains, and settings with intense exposure have contributed to the resurgence of mumps. Typically, mumps virus infections resolve without serious clinical sequelae; however, serious complications may occur among unvaccinated or severely immunocompromised individuals. Favipiravir (T-705) has been shown to have in vitro anti-viral activity against a broad range of positive and negative strand RNA viruses. Here, we demonstrate that T-705 inhibits the growth of wildtype and vaccine strains of mumps virus in vitro at low micro-molar concentrations (EC50 8-10μM). We did not observe the development of resistance after five subsequent passages at low concentrations of drug. Both viral RNA and protein synthesis were selectively reduced compared to host mRNA and protein synthesis. Antiviral treatment options for mumps virus infection may be valuable, especially for areas with a high disease burden or for cases with severe complications. These results presented here suggest that further studies are warranted.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anti-viral; Favipiravir; MMR; Mumps; Paramyxovirus; T-705

Mesh:

Substances:

Year:  2020        PMID: 32553844     DOI: 10.1016/j.antiviral.2020.104849

Source DB:  PubMed          Journal:  Antiviral Res        ISSN: 0166-3542            Impact factor:   5.970


  3 in total

1.  Influence of Ribavirin on Mumps Virus Population Diversity.

Authors:  Mirna Jurković; Anamarija Slović; Dubravko Forčić; Jelena Ivančić-Jelečki; Tanja Košutić-Gulija; Maja Jagušić
Journal:  Viruses       Date:  2021-12-17       Impact factor: 5.048

2.  Prediction of Mumps Incidence Trend in China Based on Difference Grey Model and Artificial Neural Network Learning.

Authors:  Jin Jia; Mingming Liu; Zhigang Xue; Zhe Wang; Yu Pan
Journal:  Iran J Public Health       Date:  2021-07       Impact factor: 1.429

3.  Detailed Analyses of Molecular Interactions between Favipiravir and RNA Viruses In Silico.

Authors:  Tatsuya Shirai; Mitsuru Sada; Takeshi Saraya; Daisuke Kurai; Soyoka Sunagawa; Haruyuki Ishii; Hirokazu Kimura
Journal:  Viruses       Date:  2022-02-07       Impact factor: 5.048

  3 in total

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