4.7 Article

Insights into the molecular mechanisms of Huangqi decoction on liver fibrosis via computational systems pharmacology approaches

期刊

CHINESE MEDICINE
卷 16, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13020-021-00473-8

关键词

Huangqi decoction; Liver fibrosis; Mechanism of action; Metabolomics; Molecular docking; Network pharmacology

资金

  1. National Key Research and Development Program of China [2019YFA0904800]
  2. National Natural Science Foundation of China [81872800]

向作者/读者索取更多资源

This study elucidated the mechanism of action of Huangqi decoction (HQD) on liver fibrosis by analyzing metabolomics data, network pharmacology, and molecular docking methods. Eight compounds and eight targets were identified to contribute to the effects of HQD on liver fibrosis through five signaling pathways. This research provides a new perspective for understanding the mechanism of action of Chinese herbal medicine.
Background The traditional Chinese medicine Huangqi decoction (HQD) consists of Radix Astragali and Radix Glycyrrhizae in a ratio of 6: 1, which has been used for the treatment of liver fibrosis. In this study, we tried to elucidate its action of mechanism (MoA) via a combination of metabolomics data, network pharmacology and molecular docking methods. Methods Firstly, we collected prototype components and metabolic products after administration of HQD from a publication. With known and predicted targets, compound-target interactions were obtained. Then, the global compound-liver fibrosis target bipartite network and the HQD-liver fibrosis protein-protein interaction network were constructed, separately. KEGG pathway analysis was applied to further understand the mechanisms related to the target proteins of HQD. Additionally, molecular docking simulation was performed to determine the binding efficiency of compounds with targets. Finally, considering the concentrations of prototype compounds and metabolites of HQD, the critical compound-liver fibrosis target bipartite network was constructed. Results 68 compounds including 17 prototype components and 51 metabolic products were collected. 540 compound-target interactions were obtained between the 68 compounds and 95 targets. Combining network analysis, molecular docking and concentration of compounds, our final results demonstrated that eight compounds (three prototype compounds and five metabolites) and eight targets (CDK1, MMP9, PPARD, PPARG, PTGS2, SERPINE1, TP53, and HIF1A) might contribute to the effects of HQD on liver fibrosis. These interactions would maintain the balance of ECM, reduce liver damage, inhibit hepatocyte apoptosis, and alleviate liver inflammation through five signaling pathways including p53, PPAR, HIF-1, IL-17, and TNF signaling pathway. Conclusions This study provides a new way to understand the MoA of HQD on liver fibrosis by considering the concentrations of components and metabolites, which might be a model for investigation of MoA of other Chinese herbs.

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