Preliminary Study On The Data Mining of Prescriptions Containing Schisandra And The Mechanism of Diabetes

Abstract Background: Data mining builds a bridge between ancient books of traditional Chinese medicine and modern medicine. It provides a new perspective for the precise compatibility of prescriptions and the scheme of diagnosis and treatment. Meanwhile, the mechanism of schisandrae chinensis and its compound in treating diabetes and diabetic complications is not clear. This limits the clinical application of Schisandra chinensis. Methods: Apply TCMISS to mine the core drugs with the highest frequency of combined use with Schisandra chinensis to form a new prescription. And analyze the compatibility law. Use databases such as TCMSP, TCMID, PubChem, Swiss arget prediction, disgenet and Cytoscape software. The interaction between drugs and diseases and related pathways were analyzed. In addition, autodock Vina and other software are used to calculate the molecular docking and binding energy between compounds and key targets. Finally, the therapeutic effect of the new prescription of Fructus schisandrae chinensis S·(Core) on diabetic mice was evaluated by biological experiments.Results: The study employed a data mining S·(Core) was obtained. Using network pharmacology method, mainly containing target prediction, network construction, functional enrichment analysis, and molecular docking to systematically research the mechanisms of S·(Core) in treating diabetes. The putative targets of S·(Core) that treat diabetes mainly involved AKT1, GAPDH, IL-6, MAPK3, VEGFA and other targets. The functional enrichment analysis suggested that the produced therapeutic effect of S·(Core) against diabetes is mediated by synergistical regulation of several biological pathways, AGE-RAGE signaling pathway in diabetic complications , Insulin resistance, HIF-1 and Insulin signaling pathway. The results of molecular docking showed that the core chemical components of S·core had good affinity with the key targets of diabetes. In addition,We confirmed that S·Core can improve glucose and lipid metabolism in diabetic mice. Enhanced islet β Quantity and quality of cells. Reduce the inflammatory response in the body. Liver protection.Conclusion: This study explored the mechanism of action of S·(Core) in diabetes by multi-component and multi-target multi pathways, which could provide a theoretical basis for the development and clinical application of S·(Core).