Exploration of the Active Component and Mechanisms of Shengyu Decoction Against Myelosuppression Using Network Pharmacology and in vitro Experimental Validation

应用网络药理学及体外实验验证探讨圣愈汤抗骨髓抑制的有效成分及作用机制

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作者:Bingjie Ma, Pengyi Hou, Ran Liu, Aijun Cang, Limei Zhao

Background

Chemotherapy-induced myelosuppression (CIM) is a common adverse reaction with a high incidence rate that seriously affects human health. Shengyu Decoction (SYD) is often used to treat CIM. However, its pharmacodynamic basis and therapeutic mechanisms remain unclear.

Conclusion

Our results provided not only the candidate active component of SYD, but also a new insights into mechanism of SYD in the treatment of CIM.

Methods

LC-QTOF/MS was used to identify the absorbable components of SYD. A series of network pharmacology methods have been applied to explore hub targets and potential mechanisms. Molecular docking was used to identify the binding ability of potential active ingredients and hub targets. Finally, in vitro experiments were performed to validate these findings.

Purpose

This study aimed to clarify the active components and mechanisms of SYD in CIM.

Results

In this study, 33 absorbable prototype components were identified using LC-QTOF/MS. A total of 62 possible targets of SYD in myelosuppression were identified. KEGG pathway enrichment analyses showed that some signaling pathways such as PI3K-Akt and HIF-1 may be the mechanisms by which it functions. Among them, we verified the PI3K-Akt pathway. 6 Hub proteins were screened by Protein-protein interaction (PPI) network analysis. Molecular docking results showed that four absorbable components in SYD showed good binding with six Hub targets. The effectiveness of the four predicted compounds and the mechanism were verified in vitro. It has also been shown that the active component could promote the proliferation of bone marrow stromal cells (BMSCs) and block apoptosis of BMSCs, which may be related to the PI3K-Akt pathway. This result is consistent with the network pharmacology approach and molecular docking predictions.

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