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Study on the mechanism of treating COVID-19 with Shenqi Wan based on network pharmacology.
Ye, Xian-Wen; Deng, Ya-Ling; Zhang, Xia; Liu, Min-Min; Liu, Ying; Xie, Ya-Ting; Wan, Quan; Huang, Min; Zhang, Tao; Xi, Jia-He; Zhang, Jin-Lian.
  • Ye XW; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Deng YL; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Zhang X; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Liu MM; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Liu Y; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Xie YT; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Wan Q; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Huang M; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Zhang T; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Xi JH; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
  • Zhang JL; School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China.
Drug Dev Ind Pharm ; 47(8): 1279-1289, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1450327
ABSTRACT

PURPOSE:

Through the method of network pharmacology, the active components and targets of Shenqi Wan (SQW) were excavated, the relationship with novel Coronavirus pneumonia (COVID-19) was discussed, and the possible mechanism of SQW in the treatment of COVID-19 was revealed from the aspects of multicomponents, multitargets, and multipathways.

METHODS:

Firstly, the active components of SQW were screened from traditional Chinese medicine systems pharmacology database and analysis platform and the 2020 edition of Chinese Pharmacopeia, and the related targets of the components were obtained. Then the disease targets related to COVID-19 were screened from GeneCards and Online Mendelian Inheritance in Man. Venny was used to map the relationship between component-target and disease-target, and String was used to analyze the interaction of common targets. The network was constructed and analyzed by Cytoscape, the function of Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) genes was enriched by Metascape, and the molecular docking was verified by CB-Dock.

RESULTS:

Finally, 45 active components of SQW were obtained, and 72 potential targets were related to COVID-19, angiotensin-converting enzyme 2 (ACE2), interleukin (IL)-6, nitric oxide synthase (NOS3) and, C-reactive protein (CRP),may be the key targets. GO enrichment of 1715 projects, such as lipopolysaccharide stress response, active oxygen metabolism, positive regulation of cell migration, and other GO enrichment. About 136 KEGG pathways, tumor necrosis factor signaling pathway, IL-17 signaling pathway, hypoxia-inducible factor 1-α signaling pathway were obtained. Molecular docking showed that kaempferol, quercetin, luteolin, astragaloside, calyx isoflavone glucoside, matrine, and other COVID-19-related targets such as ACE2, chymotrypsin-like protease (3CLpro), papain-like protease (PLpro), prostaglandin-endoperoxide synthase 2 (PTGS2) have good binding ability.

CONCLUSION:

According to the above results, it is suggested that SQW may play a role in the treatment of COVID-19 by directly or indirectly combining kaempferol, quercetin, and luteolin with ACE2, 3CLpro, PLpro, and PTGS2 to regulate multiple biological functions and signaling pathways.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drugs, Chinese Herbal / COVID-19 Drug Treatment Type of study: Systematic review/Meta Analysis Topics: Traditional medicine Limits: Humans Language: English Journal: Drug Dev Ind Pharm Year: 2021 Document Type: Article Affiliation country: 03639045.2021.1989453

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drugs, Chinese Herbal / COVID-19 Drug Treatment Type of study: Systematic review/Meta Analysis Topics: Traditional medicine Limits: Humans Language: English Journal: Drug Dev Ind Pharm Year: 2021 Document Type: Article Affiliation country: 03639045.2021.1989453