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Mechanism of Yin-Qin oral liquid for treatment of COVID-19 based on network pharmacology

Published on Oct. 16, 2020Total Views: 15901 timesTotal Downloads: 3374 timesDownloadMobile

Author: Shi-Liang JI 1 Li-Ping HE 2 Dong-Kai GUO 1 Wei WANG 3 Hui CHEN 3 Yi-Guo JIANG 1 Cheng WANG 1*

Affiliation: 1. Laboratory of Clinical Pharmacy, The Affiliated Suzhou Science and Technology Town Hospital of Nanjing Medical University, Suzhou 215153, Jiangsu Province, China 2. Suzhou Tianling Chinese Herbal Medicine Co. Ltd, Suzhou 215000, Jiangsu Province, China 3. Southwest University College of Pharmaceutical Science and Chinese Medicine, Luzhou 646000, Sichuan Province, China

Keywords: Yin-Qin oral liquid COVID-19 Target protein interaction Signaling pathway

DOI: 10.12173/j.issn.1004-5511.2020.05.03

Reference: Ji SL, He LP, Guo DK, Wang W, Chen H, Jiang YG, Wang C. Mechanism of Yin-Qin oral liquid for treatment of COVID-19 based on network pharmacology [J]. Yixue Xinzhi Zazhi, 2020, 30(5): 345-354. DOI: 10.12173/j.issn.1004-5511.2020.05.03.[Article in Chinese]

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Abstract

Objective  To explore the potential active components and molecular mechanism of Yin-Qin oral liquid(YQOL) for treatment of pediatric coronavirus pneumonia (COVID-19). 

Methods  With the help of TCMSP and BATMAN-TCM platform obtaining honeysuckle, scutellaria baicalensis, bupleurum, cicada slough active chemical constituents and action targets. Through UniProt, GeneCards database convert Target and gene, and then Cytoscape3.7.2 was used to construct the “active-target” networks and perform topological analysis, The core targets were analyzed by GO and KEGG functional enrichment analysis by R software. 

Results  The network analysis indicated that 56 active ingredients affected 266 key target proteins, and the key targets involve PTGS1, GSK3β, NCOA2, ESR1, ESR2, etc. The function enrichment analysis of GO was involved in 237 biological processes(BP), 54 cell components (CC), and 65 molecular function (MF). There are 66 items enriched in KEGG pathway, involving Neuroactive ligand-receptor interaction, cancer and cAMP signaling pathway, etc. Molecular docking revealed that bupleurum, scutellaria baicalensis and honeysuckle contained more potential anti-covid-19 active ingredients, and Bupleurum saponins (A, D), baicalin and isopterin have the strongest affinity. 

Conclusion  The active compounds in YQOL may interfere multiple pathways through antivirus, inhibition of inflammatory factors and regulation of immunity and provide a research direction for elucidation of the anti-COVID-19 pharmacological mechanism of YQOL.

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