Predicting the Anti-Inflammatory Mechanism of Polygonum perfoliatum L based on Network Pharmacology

Objective: To study the mechanism of anti-inflammation of Polygonum perfoliatum L by network pharmacology. Method: The active ingredients of Polygonum perfoliatum L were screened using TCMSP database, the active ingredients-target network and protein interaction network were established. The biological functions and pathways involved in the target were analyzed. Results: 11 active ingredients were obtained by screening. The network analysis indicated that the active components of Polygonum perfoliatum L involved 183 protein targets including Serpinel, Akt1, Nos3, Tnf, Casp8, Bcl2l1and multiple protein targets related to the MAPK signaling pathway, etc. The medicine had anti-inflammatory effects by regulating many signaling pathways such as PI3K-Akt signaling pathway, MAPK signaling pathway, Toll-like receptor signaling pathway, and HIF-1 signaling pathway. Conclusion: This study reflects the medicine multi-component-multi-target-multi-path therapy. It provides new ideas and new directions for further research on the mechanism of anti-inflammatory effects of Polygonum perfoliatum L.