Abstract | OBJECTIVE: METHODS: Network pharmacology analysis was performed to identify bioactive compounds in QLTMP. The protein-protein interaction network was used to identify the core therapeutic targets of QLTMP against CIP. Analyzed biological function and pathway enrichment based on the identified core therapeutic targets. Evaluate the therapeutic effect of QLTMP in a model of CIP induced by vinorelbine to confirm the reliability of the network pharmacological analysis. MATERIALS AND METHODS: The 165 bioactive compounds of QLTMP matched the screening criteria and identified 19 core therapeutic targets of QLTMP against CIP. Biofunctional analysis showed that the therapeutic effect of QLTMP on CIP was mainly related to the inhibition of inflammation; while pathway enrichment analysis showed that TNF signaling pathway was involved in the inflammatory process. Experimental confirmation in mice model showed that QLTMP exerts anti-inflammatory effects through modulation of PI3K/AKT/TNF signaling pathway, a discovery consistent with the network pharmacological analysis. DISCUSSION AND CONCLUSIONS: The network pharmacological analysis of the anti-inflammatory mechanism of QLTMP on CIP and its exploration of in vivo experiments provide a theoretical basis for the design of agents that can mitigate or cure CIP.
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Authors | Ning Yu, Shi-Kai Zhang, Jian Chen, Cheng Zhao, Ye-Min Cao, Ling Li, Yong-Bing Cao |
Journal | Combinatorial chemistry & high throughput screening
(Comb Chem High Throughput Screen)
(Jun 29 2022)
ISSN: 1875-5402 [Electronic] United Arab Emirates |
PMID | 35770417
(Publication Type: Journal Article)
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