基于网络药理学和实验验证探讨红景天抗运动疲劳作用及机制OA

Objective:To explore the mechanism of rhodiola rosea's anti exercise fatigue effect based on network pharmacology,molecular docking,and animal experiments.Method The chemical active ingredients of Rhodiola rosea were obtained through literature search,and the corresponding targets of the active ingredients were obtained from the Swiss Target Prediction database.The exercise fatigue targets were obtained from the Genecard and OMIM databases.After intersecting the drug targets and disease targets,a"component target pathway"network was constructed using Cytoscape.Key targets were screened through the protein-protein interaction(PPI)network for GO and KEGG pathway enrichment analysis,and the main active ingredients and key targets were validated by molecular docking using AutoDock software.Animal experiments divided C57BL/6N mice into a control group,a model group,and a positive drug group,while Rhodiola rosea was divided into low,medium,and high dose groups.A mouse exercise fatigue model was constructed by exhaustive swimming and rod spinning,and physical signs such as body weight and exhaustive swimming time were recorded.The levels of IL-6 and TNF-α in skeletal muscle were measured by ELISA kit,and the expression levels of AKT1,EGFR,MAPK3,and VEGFA mRNA in skeletal muscle were determined by qRT PCR.Result 120 potential targets were screened from Rhodiola rosea,and the key targets identified by the PPI network were mainly involved in signaling pathways such as AKT,MAPK,EGFR,VEGFA,etc.;Animal experiments have shown that compared with the model group,the group treated with Rhodiola rosea can prolong exhaustion swimming time,improve skeletal muscle pathological damage,reduce serum urea nitrogen and IL-6,TNF-α inflammatory factor levels,increase skeletal muscle glycogen content,and significantly upregulate AKT1 and MAPK3 mRNA expression and downregulate VEGFA expression.Conclusion Rhodiola rosea can exert anti exercise fatigue effects based on multiple components,targets,and pathways.