Literature DB >> 24971493

Screening and identification of inhibitors against influenza A virus from a US drug collection of 1280 drugs.

Liwei An1, Rui Liu1, Wei Tang1, Jian-Guo Wu2, Xulin Chen3.   

Abstract

Infection with influenza A virus is still a global concern since it causes significant mortality, morbidity and economic loss. New burst pandemics and rapid emergence of drug-resistance strains in recent years call for novel antiviral therapies. One promising way to overcome this problem is searching new inhibitors among thousands of drugs approved in the clinic for the treatment of different diseases or approved to be safe by clinical trials. In the present work, a collection of 1280 compounds, most of which have been clinically used in human or animal, were screened for anti-influenza activity and 41 hits (SI>4.0) were obtained. Next the 18 hit compounds with SI >10.0 were tested for antiviral activity against 7 other influenza virus strains in canine-originated MDCK cells, 9 compounds exhibited broad antiviral spectrum. The antiviral effects of the 9 compounds were also confirmed in human-originated A549 cells and chicken-originated DF1 cells, by infectious virus yield reduction assay and indirect immunofluorescent assay. Results from the time of addition assay showed that the 9 candidates impaired different stages of influenza virus life cycle, indicating they are novel inhibitors with different mechanisms compared with the existing M2 ion-channel blockers or neuraminidase (NA) inhibitors. Taken together, our findings provide 9 novel drug candidates for the treatment of influenza virus infection. Further mechanism of action study of these inhibitors may lead to the discovery of new anti-influenza targets and structure-activity relationship (SAR) study can be initiated to improve the efficacy of these new classes of influenza inhibitors.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drug screening; Influenza virus; Inhibitor

Mesh:

Substances:

Year:  2014        PMID: 24971493     DOI: 10.1016/j.antiviral.2014.06.007

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


  7 in total

1.  Mouse lung slices: An ex vivo model for the evaluation of antiviral and anti-inflammatory agents against influenza viruses.

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Authors:  Qing Guan; Lingjun Zhan; Zhi-Hao Liu; Qin Pan; Xu-Lin Chen; Zhen Xiao; Chuan Qin; Xiao-Lian Zhang
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3.  The Establishment and Validation of the Human U937 Cell Line as a Cellular Model to Screen Immunomodulatory Agents Regulating Cytokine Release Induced by Influenza Virus Infection.

Authors:  Ge Liu; Si Chen; Ao Hu; Li Zhang; Wenyu Sun; Jungang Chen; Wei Tang; Haiwei Zhang; Chunlan Liu; Chang Ke; Xulin Chen
Journal:  Virol Sin       Date:  2019-07-08       Impact factor: 4.327

4.  The Modulation of Cholesterol Metabolism Is Involved in the Antiviral Effect of Nitazoxanide.

Authors:  Claudio Fenizia; Salomè Valentina Ibba; Claudia Vanetti; Sergio Strizzi; Jean-François Rossignol; Mara Biasin; Daria Trabattoni; Mario Clerici
Journal:  Infect Dis Rep       Date:  2021-07-14

5.  Identification of new antiviral agents against Kaposi's sarcoma-associated herpesvirus (KSHV) by high-throughput drug screening reveals the role of histamine-related signaling in promoting viral lytic reactivation.

Authors:  Jungang Chen; Lu Dai; Alana Goldstein; Haiwei Zhang; Wei Tang; J Craig Forrest; Steven R Post; Xulin Chen; Zhiqiang Qin
Journal:  PLoS Pathog       Date:  2019-12-02       Impact factor: 6.823

6.  Three New Compounds from the Actinomycete Actinocorallia aurantiaca.

Authors:  Kai-Yue Han; Xing Wu; Chenglin Jiang; Rong Huang; Zheng-Hui Li; Tao Feng; He-Ping Chen; Ji-Kai Liu
Journal:  Nat Prod Bioprospect       Date:  2019-09-16

7.  Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools.

Authors:  María Antonela Zígolo; Matías Rivero Goytia; Hugo Ramiro Poma; Verónica Beatriz Rajal; Verónica Patricia Irazusta
Journal:  Sci Total Environ       Date:  2021-03-17       Impact factor: 7.963

  7 in total

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