System Pharmacology-Based Strategy to Investigate Core Component Group and Molecular Mechanisms of Xuefu Zhuyu Decoction in the Treatment of Gbm
Background
Xuefu Zhuyu Decoction (XFZYD) is a well-known Traditional Chinese Medicine (TCM) formula that has many pharmacological effects, including enhancing immune function, improving hemorheology and regulating blood vessels bidirectionally. Modern pharmacological and clinical studies showed that XFZYD could ameliorate curative effect of glioblastoma (GBM). The aim of this study was to interpret core components and the hidden molecular mechanisms of XFZYD on GBM.
Methods
Here, a novel network pharmacology strategy, which combined pharmacological data, next generation sequencing data, pharmacokinetic parameters and a novel node importance calculation method was designed to decipher the potential therapeutic mechanism of XFZYD on GBM. The partial components in core component group (CCG) were evaluated by in vitro expriments. We identified 117 chemical components analysis through ADME screening, then component-target network and GBM related genes were integrated as the component-target-pathogenic gene (C-T-P) network.
Results
The results show that the enriched pathways of targets in the key functional network could cover 77.92% of the enriched pathways of pathogenic genes. A novel cumulative contribution rate (CCR) calculation model was designed and captured CCG with 21 components. The statistics results indicate that 15 enriched pathways of the targets of CCG were overlap with pathogenic genes enriched pathways. Finally, some core components in CCG were validated by in vitro experiments.
Conclusion
The results show that our proposed stategy for decoding CCG and infering the underlying mechanism with good reliability and accuracy. The validation results indicate that the CCG play a therapeutic role on GBM by targeting to PI3K-Akt signaling pathway and Toll-like receptor signaling pathway. Our strategy provides methodological reference for the optimization and secondary development of TCM formula.
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This is a list of supplementary files associated with this preprint. Click to download.
The heatmap of the differential expression genes in GBM.
The comprehensive PPI network.
Pathway enrichment analysis (A) and GO anlysis (B) of GBM-weighted genes.
Weighted gene network of GBM. The size of the node represents the square root of the two |log 2(fold change)|, and the nodes with the gradient from green to red represent the down-regulated gene gradient to the up-regulated gene of GBM.
Posted 11 Jan, 2021
System Pharmacology-Based Strategy to Investigate Core Component Group and Molecular Mechanisms of Xuefu Zhuyu Decoction in the Treatment of Gbm
Posted 11 Jan, 2021
Background
Xuefu Zhuyu Decoction (XFZYD) is a well-known Traditional Chinese Medicine (TCM) formula that has many pharmacological effects, including enhancing immune function, improving hemorheology and regulating blood vessels bidirectionally. Modern pharmacological and clinical studies showed that XFZYD could ameliorate curative effect of glioblastoma (GBM). The aim of this study was to interpret core components and the hidden molecular mechanisms of XFZYD on GBM.
Methods
Here, a novel network pharmacology strategy, which combined pharmacological data, next generation sequencing data, pharmacokinetic parameters and a novel node importance calculation method was designed to decipher the potential therapeutic mechanism of XFZYD on GBM. The partial components in core component group (CCG) were evaluated by in vitro expriments. We identified 117 chemical components analysis through ADME screening, then component-target network and GBM related genes were integrated as the component-target-pathogenic gene (C-T-P) network.
Results
The results show that the enriched pathways of targets in the key functional network could cover 77.92% of the enriched pathways of pathogenic genes. A novel cumulative contribution rate (CCR) calculation model was designed and captured CCG with 21 components. The statistics results indicate that 15 enriched pathways of the targets of CCG were overlap with pathogenic genes enriched pathways. Finally, some core components in CCG were validated by in vitro experiments.
Conclusion
The results show that our proposed stategy for decoding CCG and infering the underlying mechanism with good reliability and accuracy. The validation results indicate that the CCG play a therapeutic role on GBM by targeting to PI3K-Akt signaling pathway and Toll-like receptor signaling pathway. Our strategy provides methodological reference for the optimization and secondary development of TCM formula.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8