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      Quantitative proteomics reveals a broad‐spectrum antiviral property of ivermectin, benefiting for COVID‐19 treatment

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          Abstract

          Viruses such as human cytomegalovirus (HCMV), human papillomavirus (HPV), Epstein–Barr virus (EBV), human immunodeficiency virus (HIV), and coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS‐CoV‐2]) represent a great burden to human health worldwide. FDA‐approved anti‐parasite drug ivermectin is also an antibacterial, antiviral, and anticancer agent, which offers more potentiality to improve global public health, and it can effectively inhibit the replication of SARS‐CoV‐2 in vitro. This study sought to identify ivermectin‐related virus infection pathway alterations in human ovarian cancer cells. Stable isotope labeling by amino acids in cell culture (SILAC) quantitative proteomics was used to analyze human ovarian cancer cells TOV‐21G treated with and without ivermectin (20 μmol/L) for 24 h, which identified 4447 ivermectin‐related proteins in ovarian cancer cells. Pathway network analysis revealed four statistically significant antiviral pathways, including HCMV, HPV, EBV, and HIV1 infection pathways. Interestingly, compared with the reported 284 SARS‐CoV‐2/COVID‐19‐related genes from GencLip3, we identified 52 SARS‐CoV‐2/COVID‐19‐related protein alterations when treated with and without ivermectin. Protein–protein network (PPI) was constructed based on the interactions between 284 SARS‐CoV‐2/COVID‐19‐related genes and between 52 SARS‐CoV‐2/COVID‐19‐related proteins regulated by ivermectin. Molecular complex detection analysis of PPI network identified three hub modules, including cytokines and growth factor family, MAP kinase and G‐protein family, and HLA class proteins. Gene Ontology analysis revealed 10 statistically significant cellular components, 13 molecular functions, and 11 biological processes. These findings demonstrate the broad‐spectrum antiviral property of ivermectin benefiting for COVID‐19 treatment in the context of predictive, preventive, and personalized medicine in virus‐related diseases.

          Abstract

          • 1.

            This study sought to identify ivermectin‐related virus infection pathway alterations in human cells.

          • 2.

            Quantitative proteomics revealed that ivermectin‐related proteins are involved in four statistically significant antiviral pathways, including human cytomegalovirus (HCMV), human papillomavirus (HPV), Epstein–Barr virus (EBV), human immunodeficiency virus 1 (HIV1), and COVID‐19 infection pathways.

          • 3.

            We identified 52 severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2)/COVID‐19‐related protein alterations when treated with and without ivermectin, and these proteins were involved in cytokines and growth factor family, MAP kinase and G‐protein family, and HLA class proteins.

          • 4.

            These findings demonstrate the broad‐spectrum antiviral property of ivermectin benefiting for COVID‐19 treatment in the context of predictive, preventive, and personalized medicine in virus‐related diseases.

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          Most cited references63

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          clusterProfiler: an R package for comparing biological themes among gene clusters.

          Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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            Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges

            Highlights • Emergence of 2019 novel coronavirus (2019-nCoV) in China has caused a large global outbreak and major public health issue. • At 9 February 2020, data from the WHO has shown >37 000 confirmed cases in 28 countries (>99% of cases detected in China). • 2019-nCoV is spread by human-to-human transmission via droplets or direct contact. • Infection estimated to have an incubation period of 2–14 days and a basic reproduction number of 2.24–3.58. • Controlling infection to prevent spread of the 2019-nCoV is the primary intervention being used.
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              Is Open Access

              STRING v10: protein–protein interaction networks, integrated over the tree of life

              The many functional partnerships and interactions that occur between proteins are at the core of cellular processing and their systematic characterization helps to provide context in molecular systems biology. However, known and predicted interactions are scattered over multiple resources, and the available data exhibit notable differences in terms of quality and completeness. The STRING database (http://string-db.org) aims to provide a critical assessment and integration of protein–protein interactions, including direct (physical) as well as indirect (functional) associations. The new version 10.0 of STRING covers more than 2000 organisms, which has necessitated novel, scalable algorithms for transferring interaction information between organisms. For this purpose, we have introduced hierarchical and self-consistent orthology annotations for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution. Further improvements in version 10.0 include a completely redesigned prediction pipeline for inferring protein–protein associations from co-expression data, an API interface for the R computing environment and improved statistical analysis for enrichment tests in user-provided networks.
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                Author and article information

                Contributors
                yjzhan2011@gmail.com
                Journal
                J Cell Physiol
                J Cell Physiol
                10.1002/(ISSN)1097-4652
                JCP
                Journal of Cellular Physiology
                John Wiley and Sons Inc. (Hoboken )
                0021-9541
                1097-4652
                22 September 2020
                : 10.1002/jcp.30055
                Affiliations
                [ 1 ] University Creative Research Initiatives Center Shandong First Medical University Jinan Shandong China
                [ 2 ] Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital Central South University Changsha Hunan China
                [ 3 ] State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital Central South University Changsha Hunan China
                [ 4 ] Department of Obstetrics and Gynecology, The Third Affiliated Hospital Sothern Medical University Tianhe Guangzhou Guangdong China
                [ 5 ] Department of Oncology, Xiangya Hospital Central South University Changsha Hunan China
                [ 6 ] National Clinical Research Center for Geriatric Disorders, Xiangya Hospital Central South University Changsha Hunan China
                Author notes
                [*] [* ] Correspondence Xianquan Zhan, University Creative Research Initiatives Center, Shandong First Medical University, 6699 Qingdao Rd, Jinan, 250117 Shandong, China.

                Email: yjzhan2011@ 123456gmail.com

                Author information
                http://orcid.org/0000-0002-4984-3549
                Article
                JCP30055
                10.1002/jcp.30055
                7536980
                32959892
                d2b7d057-5070-41e6-9f94-57a8c97a879b
                © 2020 Wiley Periodicals LLC

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 21 July 2020
                : 31 August 2020
                : 07 September 2020
                Page count
                Figures: 4, Tables: 2, Pages: 17, Words: 9177
                Funding
                Funded by: Hunan Provincial Hundred Talent Plan (to X.Z.)
                Funded by: Shandong First Medical University Talent Introduction Funds (to X.Z.)
                Categories
                Original Research Article
                Original Research Articles
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.2 mode:remove_FC converted:06.10.2020

                Anatomy & Physiology
                ivermectin,quantitative proteomics,sars‐cov‐2/covid‐19,stable isotope labeling by amino acids in cell culture,virus‐related pathways

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