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Myxovirus resistance protein A inhibits hepatitis C virus replication through JAK-STAT pathway activation

Overview of attention for article published in Archives of Virology, February 2018
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Title
Myxovirus resistance protein A inhibits hepatitis C virus replication through JAK-STAT pathway activation
Published in
Archives of Virology, February 2018
DOI 10.1007/s00705-018-3748-3
Pubmed ID
Authors

Hailong Wang, Xiu Xin, Mingzhen Wang, Lingling Han, Jiadai Li, Yao Hao, Congyi Zheng, Chao Shen

Abstract

The interferon-inducible dynamin-like GTPase myxovirus resistance protein A (MxA) exhibits activity against multiple viruses. However, its role in the life cycle of hepatitis C virus (HCV) is unclear, and the mechanisms underlying the anti-HCV activity of MxA require further investigation. In this study, we demonstrated that exogenous MxA expression in the Huh7 and Huh7.5.1 hepatoma cell lines significantly decreased the levels of HCV RNA and core proteins, whereas MxA knockdown exerted the opposite effect. MxA-mediated inhibition of HCV replication was found to involve the JAK-STAT pathway: STAT1 phosphorylation and the expression of IFN-stimulated genes (ISGs) such as guanylate-binding protein 1 and 2'-5'-oligoadenylate synthetase 1 were augmented by MxA overexpression and reduced by endogenous MxA silencing. Treatment with the JAK inhibitor ruxolitinib abrogated the MxA-mediated suppression of HCV replication and activation of the JAK-STAT pathway. Additionally, transfection with an MxA mutant with disrupted GTP-binding consensus motifs abrogated activation of the JAK-STAT pathway and resistance to HCV replication. This study shows that MxA inhibits HCV replication by activating the JAK-STAT signaling pathway through a mechanism involving its GTPase function.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Student > Bachelor 1 9%
Student > Postgraduate 1 9%
Unknown 4 36%
Readers by discipline Count As %
Immunology and Microbiology 3 27%
Medicine and Dentistry 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Arts and Humanities 1 9%
Other 0 0%
Unknown 3 27%