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      The glutamate receptor antagonist ifenprodil inhibits hepatitis E virus infection

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          ABSTRACT

          Infection with hepatitis E virus (HEV) represents a global problem, with over 20 million people infected annually. No specific antiviral drugs are available for treating HEV infection, necessitating the development of novel targeted therapeutics. Here, we report that the N-methyl-D-aspartate receptor (NMDAR) antagonist ifenprodil, a clinically approved drug used to treat idiopathic pulmonary fibrosis (IPF), is an HEV inhibitor in liver-derived cells. In vitro investigation demonstrates that ifenprodil suppresses viral protein expression in a dose-dependent manner in human hepatoma cells by inhibiting early stages of viral infection. We also found that ifenprodil modulates host cell intrinsic biological processes distinct from virus-induced innate immunity, inhibiting HEV RNA accumulation in primary human hepatocytes. Finally, the inhibitory effect of ifenprodil in vivo was also tested in rabbits challenged with the HEV-3ra CHN-BJ-R14 strain. Fecal virus shedding was below the limit of detection in two animals for both ribavirin-treated and ifenprodil-treated rabbits compared to vehicle-treated control animals. Our data demonstrate that ifenprodil is an effective anti-HEV compound with potential as a therapeutic candidate for the treatment of HEV infection.

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          Most cited references31

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            CellProfiler 4: improvements in speed, utility and usability

            Background Imaging data contains a substantial amount of information which can be difficult to evaluate by eye. With the expansion of high throughput microscopy methodologies producing increasingly large datasets, automated and objective analysis of the resulting images is essential to effectively extract biological information from this data. CellProfiler is a free, open source image analysis program which enables researchers to generate modular pipelines with which to process microscopy images into interpretable measurements. Results Herein we describe CellProfiler 4, a new version of this software with expanded functionality. Based on user feedback, we have made several user interface refinements to improve the usability of the software. We introduced new modules to expand the capabilities of the software. We also evaluated performance and made targeted optimizations to reduce the time and cost associated with running common large-scale analysis pipelines. Conclusions CellProfiler 4 provides significantly improved performance in complex workflows compared to previous versions. This release will ensure that researchers will have continued access to CellProfiler’s powerful computational tools in the coming years. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-021-04344-9.
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              SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples

              Abstract SynergyFinder (https://synergyfinder.fimm.fi) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Since its first release in 2017, SynergyFinder has become a popular tool for multi-dose combination data analytics, partly because the development of its functionality and graphical interface has been driven by a diverse user community, including both chemical biologists and computational scientists. Here, we describe the latest upgrade of this community-effort, SynergyFinder release 3.0, introducing a number of novel features that support interactive multi-sample analysis of combination synergy, a novel consensus synergy score that combines multiple synergy scoring models, and an improved outlier detection functionality that eliminates false positive results, along with many other post-analysis options such as weighting of synergy by drug concentrations and distinguishing between different modes of synergy (potency and efficacy). Based on user requests, several additional improvements were also implemented, including new data visualizations and export options for multi-drug combinations. With these improvements, SynergyFinder 3.0 supports robust identification of consistent combinatorial synergies for multi-drug combinatorial discovery and clinical translation.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing – original draftRole: Writing – review and editing
                Role: Formal analysisRole: VisualizationRole: Writing – review and editing
                Role: Formal analysisRole: MethodologyRole: Writing – review and editing
                Role: Formal analysisRole: VisualizationRole: Writing – review and editing
                Role: Funding acquisitionRole: ResourcesRole: Writing – review and editing
                Role: ConceptualizationRole: Funding acquisitionRole: ResourcesRole: Writing – review and editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Writing – review and editing
                Role: Editor
                Journal
                Antimicrob Agents Chemother
                Antimicrob Agents Chemother
                aac
                Antimicrobial Agents and Chemotherapy
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                0066-4804
                1098-6596
                November 2024
                03 October 2024
                03 October 2024
                : 68
                : 11
                : e01035-24
                Affiliations
                [1 ]Department of Molecular and Medical Virology, Ruhr University Bochum; , Bochum, Germany
                [2 ]Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center; , Beijing, China
                [3 ]European Virus Bioinformatics Center (EVBC); , Jena, Germany
                [4 ]German Centre for Infection Research (DZIF), External Partner Site; , Bochum, Germany
                IrsiCaixa Institut de Recerca de la Sida; , Barcelona, Spain
                Author notes
                Address correspondence to Eike Steinmann, eike.steinmann@ 123456rub.de

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0002-7707-2040
                https://orcid.org/0000-0002-4567-0441
                https://orcid.org/0000-0003-1555-9985
                https://orcid.org/0000-0002-3654-9965
                Article
                aac01035-24 aac.01035-24
                10.1128/aac.01035-24
                11539220
                39360823
                81b2dbd1-5303-461c-a25b-4d48710cba1c
                Copyright © 2024 Klöhn et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 10 July 2024
                : 09 September 2024
                Page count
                supplementary-material: 0, authors: 7, Figures: 5, References: 34, Pages: 12, Words: 6990
                Funding
                Funded by: Deutsches Zentrum für Infektionsforschung (DZIF);
                Award ID: TTU 05.823_00
                Award Recipient :
                Funded by: Bundesministerium für Bildung und Forschung (BMBF);
                Award ID: 01KI2106
                Award Recipient :
                Categories
                Antiviral Agents
                eukaryotic-cells, Eukaryotic Cells
                Custom metadata
                November 2024

                Infectious disease & Microbiology
                hepatitis e virus,fda-approved drugs,ifenprodil,nmda-receptor antagonist

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