A Network Pharmacology Study of Reduning Injection for the Treatment of Coronavirus Disease-19
  
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DOI:10.4103/wjtcm.wjtcm_19_20
KeyWord:2019‑novel coronavirus, network pharmacology, reduning injection, signaling pathway, target
           
AuthorInstitution
Jian Wua a.Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine
Dong-Dong Ruana a.Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine
Tong-Fei Fua a.Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine
Jun Yuanb b.Department of Nephrology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China
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Abstract:
      Objective: The 2019 novel coronavirus (2019‑nCoV) outbreak has escalated into a global pandemic. According to Chinese guidance for coronavirus disease‑19 (COVID‑19): Prevention, control, diagnosis, and management, Reduning injection can effectively treat, the disease caused by the virus. To identify the active ingredients of Reduning injection and COVID‑19 disease‑related pathways, we conducted a network pharmacology study. Methods: The Traditional Chinese Medicine Systems Pharmacology database was used to screen the chemical constituents and potential targets of Reduning injection. The gene names were converted to the corresponding protein names using UniProt. GeneCards and OMIM databases were used to select targets related to 2019‑nCoV. Using Cytoscape 3.7.2 software platform and STRING database, we constructed drug‑common target and target protein protein‑protein interaction network diagrams. Rx64 3.6.2 software and Bioconductor biological information software package were used for  Gene Ontology (GO) functional enrichment and KEGG pathway analyses. Results: In Reduning injection, a total of 33 effective chemical components were obtained that were involved in 151 signaling pathways, of which 44 targets were considered therapeutically relevant. Conclusion: Reduning injection can be potentially applied for the treatment of COVID-19 based on the results of our network pharmacology study.
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