Research on the anti hyperlipidemia effect and signaling pathway of Polygonum multiflorum based on network pharmacology
Year: 2025
Type: article
Abstract: Objective: To investigate the mechanism and signaling pathway of Polygonum multiflorum in combating hyperlipidemia based on network pharmacology. Method: Search traditional Chinese medicine databases and literature to screen and integrate the active ingredients and target proteins of Polygonum multiflorum. Retrieve and obtain the active ingredients and targets of Polygonum multiflorum from the TCMSP database and DrugBank database. Construct a compound target network of Polygonum multiflorum and its corresponding protein-protein interaction (PPI) network in Cytoscape software, and perform gene GO function and KEGG pathway enrichment analysis in the DAVID database. Screen out the effective ingredients and targets of Polygonum multiflorum for anti hyperlipidemia, and draw a target pathway network model. Result: It is predicted that the main active ingredients of Polygonum multiflorum for anti hyperlipidemia drugs are omega-hydroxyflavone-8-methyl ether, alfalfa extract, and kaempferol. They bind to three core targets, epidermal growth factor receptor (EGFR), estrogen receptor 1 (ESR1), and matrix metalloproteinase 9 (MMP9), and affect the PI3K Akt, HIF-1, and estrogen signaling pathways to play a key role in anti-hyperlipidemia. Conclusion: Polygonum multiflorum plays a precise role in anti hyperlipidemia by exerting the characteristics of multiple active ingredients, multiple targets, and multiple signaling pathways in order to provide a scientific basis for systematically elucidating the mechanism of Polygonum multiflorum in treating hyperlipidemia.
DOI: 10.62617/mcb1636
Authors: Jinji Wang, Ming Yang, Yuna Han, Zhijie Zhu, Xiaolei Fang, Xuefeng Zhuang, Kaixuan Zhou, Lijing Li, Jia Liu
Institutions: Changchun University of Chinese Medicine, Bozhou University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408992075
