Literature DB >> 28370181

Development of mouse models for analysis of human virus infections.

Hiromi Takaki1, Hiroyuki Oshiumi2, Masashi Shingai3, Misako Matsumoto1, Tsukasa Seya1.   

Abstract

Viruses usually exhibit strict species-specificity as a result of co-evolution with the host. Thus, in mouse models, a great barrier exists for analysis of infections with human-tropic viruses. Mouse models are unlikely to faithfully reproduce the human immune response to viruses or viral compounds and it is difficult to evaluate human therapeutic efficacy with antiviral reagents in mouse models. Humans and mice essentially have different immune systems, which makes it difficult to extrapolate mouse results to humans. In addition, apart from immunological reasons, viruses causing human diseases do not always infect mice because of species tropism. One way to determine tropism would be a virus receptor that is expressed on affected cells. The development of gene-disrupted mice and Tg mice, which express human receptor genes, enables us to analyze several viral infections in mice. Mice are, indeed, susceptible to human viruses when artificially infected in receptor-supplemented mice. Although the mouse cells less efficiently permit viral replication than do human cells, the models for analysis of human viruses have been established in vivo as well as in vitro, and explain viral pathogenesis in the mouse systems. In most systems, however, nucleic acid sensors and type I interferon suppress viral propagation to block the appearance of infectious manifestation. We herein review recent insight into in vivo antiviral responses induced in mouse infection models for typical human viruses.
© 2017 The Societies and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  animal model; type I IFN; viral infection

Mesh:

Year:  2017        PMID: 28370181     DOI: 10.1111/1348-0421.12477

Source DB:  PubMed          Journal:  Microbiol Immunol        ISSN: 0385-5600            Impact factor:   1.955


  8 in total

Review 1.  The Collaborative Cross: A Systems Genetics Resource for Studying Host-Pathogen Interactions.

Authors:  Kelsey E Noll; Martin T Ferris; Mark T Heise
Journal:  Cell Host Microbe       Date:  2019-04-10       Impact factor: 21.023

Review 2.  Animal Models for Hepatitis E virus.

Authors:  Laura Corneillie; Dominic H Banda; Philip Meuleman
Journal:  Viruses       Date:  2019-06-18       Impact factor: 5.048

3.  Incorporation of a truncated form of flagellin (TFlg) into porcine circovirus type 2 virus-like particles enhances immune responses in mice.

Authors:  Xiangyu Liu; Yangkun Liu; Yuanyuan Zhang; Fan Zhang; Enqi Du
Journal:  BMC Vet Res       Date:  2020-02-07       Impact factor: 2.741

Review 4.  COVID-19 metabolism: Mechanisms and therapeutic targets.

Authors:  Tianshi Wang; Ying Cao; Haiyan Zhang; Zihao Wang; Cheuk Him Man; Yunfan Yang; Lingchao Chen; Shuangnian Xu; Xiaojing Yan; Quan Zheng; Yi-Ping Wang
Journal:  MedComm (2020)       Date:  2022-08-09

5.  Murine Models of Chronic Viral Infections and Associated Cancers.

Authors:  D V Avdoshina; A S Kondrashova; M G Belikova; E O Bayurova
Journal:  Mol Biol       Date:  2022-10-05       Impact factor: 1.540

Review 6.  Modeling neurological disorders using brain organoids.

Authors:  Daniel Y Zhang; Hongjun Song; Guo-Li Ming
Journal:  Semin Cell Dev Biol       Date:  2020-06-17       Impact factor: 7.727

Review 7.  Animal Models of Zika Virus Infection during Pregnancy.

Authors:  Elizabeth A Caine; Brett W Jagger; Michael S Diamond
Journal:  Viruses       Date:  2018-10-31       Impact factor: 5.048

8.  Efficient functional screening of a cellular cDNA library to identify severe fever with thrombocytopenia syndrome virus entry factors.

Authors:  Masayuki Shimojima; Satoko Sugimoto; Satoshi Taniguchi; Tomoki Yoshikawa; Takeshi Kurosu; Masayuki Saijo
Journal:  Sci Rep       Date:  2020-04-07       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.