Identification of active compounds of traditional chinese medicine derived from maxing shigan decoction for COVID-19 treatment: a meta-analysis and in silico study

Xiaodan Guo, Yihua Lin, Fengming He, Ying Jin, Simian Chen, Ting Li, Caisheng Wu, Lin Zhang, Xueqin Chen

Research output: Contribution to journalReview ArticleResearchpeer-review

2 Citations (Scopus)

Abstract

Background: Coronavirus 2019 (COVID-19) poses a serious threat to human health. In China, traditional Chinese medicine (TCM), mainly based on the Maxing Shigan decoction (MXSGD), is used in conjunction with western medicine to treat COVID-19. Research design and methods: We conducted a network meta-analysis to investigate whether MXSGD-related TCM combined with western medicine is more effective in treating COVID-19 compared to western medicine alone. Additionally, using network pharmacology, cross-docking, and molecular dynamics (MD) simulation to explore the potential active compounds and possible targets underlying the therapeutic effects of MXSGD-related TCM. Results: MXSGD-related TCM combined with western medicine was better for treating COVID-19 compared to western medicine alone. Network pharmacological analysis identified 43 shared ingredients in the MXSGD-related TCM prescriptions and 599 common target genes. Cross-docking of the 43 compounds with 154 proteins that matched these genes led to the identification of 60 proteins. Pathway profiling revealed that the active ingredients participated in multiple signaling pathways that contribute to their efficacy. Molecular docking and MD simulation demonstrated that MOL007214, the most promising molecule, could stably bind to the active site of SARS-CoV-2 3CLpro. Conclusion: This study demonstrates the important role of MXSGD-related TCM in the treatment of COVID-19.

Original languageEnglish
Pages (from-to)871-889
Number of pages19
JournalExpert Review of Anti-Infective Therapy
Volume21
Issue number8
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • COVID-19
  • maxing shigan decoction
  • Meta-analysis
  • molecular simulation
  • network pharmacology

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