Base on Data Mining to Analyze and Verify the Rule and Mechanism of Physicians in the Qing Dynasty in Treating Diabetes
Based on data mining analysis,this study verifies the rule and mechanism of physicians in the Qing Dynasty in treating diabetes.TCMIAP was used to explorer the rule of physicians in the Qing Dynasty,discover drug combinations and potential new prescriptions.Network pharmacology technology was applied to analyze the mechanism of new prescriptions,which was verified with the model of diabetes rats.The research found that physicians in the Qing Dynasty often used tonic deficiency medicine and astringent medicine.A network pharmacology analysis was conducted on the new prescription"SLZDF",and the main components were identified as Kaempferol,catechin,quercetin,etc.Key targets include AKT1,TP53,TNF,IL6,JUN,VEGFA,CASP3,IL1B,etc.mainly pathways such as IL-17,PI3K Akt,and Relaxin.Animal experiments showed that in the treatment group,FBG,water intake,excretion,FINS,HOMA-IR,HbA1c,and TNF-a,ALT,AST,ALP,UREA decreased.
万方数据
维普
