Exploration on the Mechanism of Bushen Jianpi Prescription in Improving Type 2 Diabetes Mellitus Based on Bioinformatics and Network Pharmacology
Objective To explore the mechanism of Bushen Jianpi Prescription for the treatment of type 2 diabetes mellitus(T2DM)based on bioinformatics and network pharmacology.Methods The active components and action targets of Bushen Jianpi Prescription were screened through TCMSP and BATMAN-TCM databases.T2DM-related datasets GSE18732 and GSE19420 were obtained by GEO database,and genes with synchronous changes with diabetes were screened by Mfuzz analysis as disease targets of T2DM.The intersection targets between Bushen Jianpi Prescription and the T2DM disease targets were obtained,as the therapeutic targets of Bushen Jianpi Prescription for the treatment of T2DM.The protein-protein interaction network of the targets was constructed by STRING database,and the key targets in the network were screened.Enrichment analysis of its biological functions was performed through GO and KEGG pathway enrichment.Single factor Logistic regression was used for screening Hub genes,and construct a T2DM prediction model based on Hub genes.Results Totally 1 837 drug targets of Bushen Jianpi Prescription were obtained,with 983 T2DM disease targets,and 115 drug-disease intersection targets,mainly enriched in endocrine resistance,insulin resistance,insulin signaling pathway,non-alcoholic fatty liver disease,apoptosis,cellular senescence,AMPK signaling pathway,AGE-RAGE signaling pathway and HIF-1 signaling pathway.The Hub genes include NFKB1 and SREBF1,with a prediction model curve area of 0.829 and had good predictive performance.Conclusion This study integrates the bioinformatics and network pharmacology findings,suggesting that Bushen Jianpi Prescription may regulate AMPK pathway and AGE-RAGE pathway through NFKB1 and SREBF1,etc.,to achieve the effect of delaying T2DM progression,but further experimental confirmation is needed.
type 2 diabetes mellitusBushen Jianpi Prescriptionnetwork pharmacologybioinformatics