Author: Li, Na; Zhao, Lingfeng; Zhan, Xianquan
Title: Quantitative proteomics reveals a broadâ€spectrum antiviral property of ivermectin, benefiting for COVIDâ€19 treatment Cord-id: hert77y1 Document date: 2020_9_22
ID: hert77y1
Snippet: 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 [SARSâ€CoVâ€2]) represent a great burden to human health worldwide. FDAâ€approved antiâ€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 SARSâ€
Document: 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 [SARSâ€CoVâ€2]) represent a great burden to human health worldwide. FDAâ€approved antiâ€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 SARSâ€CoVâ€2 in vitro. This study sought to identify ivermectinâ€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 TOVâ€21G treated with and without ivermectin (20 μmol/L) for 24 h, which identified 4447 ivermectinâ€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 SARSâ€CoVâ€2/COVIDâ€19â€related genes from GencLip3, we identified 52 SARSâ€CoVâ€2/COVIDâ€19â€related protein alterations when treated with and without ivermectin. Protein–protein network (PPI) was constructed based on the interactions between 284 SARSâ€CoVâ€2/COVIDâ€19â€related genes and between 52 SARSâ€CoVâ€2/COVIDâ€19â€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 Gâ€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 broadâ€spectrum antiviral property of ivermectin benefiting for COVIDâ€19 treatment in the context of predictive, preventive, and personalized medicine in virusâ€related diseases.
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