ABSTRACT
Objective:To analyze the mechanism of Kaixin San in treating Alzheimer disease (AD) based on the TCM integrated pharmacology platform combined with GEO chip differential gene analysis method.Methods:By searching TCMIP and Drugbank database, the active components and related molecular targets of Kaixin San were obtained. GSE4757 chip data was obtained through GEO database, and its differential genes were obtained using R language to draw heat map and volcano map. Molecular target map of differentially expressed genes between Kaixin San and AD was constructed through Cytoscape 3.7.2. Bisogenet and CytoNCA were used to draw the target topological network, and GO enrichment analysis and KEGG enrichment analysis of Kaixin San and AD gene were carried out.Results:86 active components of Kaixin San were obtained to treat AD, and 29 differential genes shared with GEO were obtained. PPI topological network was constructed. 6 core candidate genes were screened, and were merged with KEGG pathway enriched genes to obtain important genes for disease treatment, such as CHRM1, CHRM2, ACHE, CHRM3, CASP8, PTGS2, DRD1, CACN1S, ADRB1. 375 GO entries were obtained, mainly involving biological processes such as vasoconstriction, postsynaptic membrane plasticity, neurotransmitter transmission, etc. KEGG enrichment analysis mainly involved cholinergic synaptic signal pathway, cAMP signal pathway, calcium signal pathway, nerve ligand receptor interaction signal pathway, etc.Conclusions:Kaixin San shows the features of multi-component, multi-target and multi-channel in treating AD. It can play a role in the treatment of AD by inhibiting inflammatory reaction, reducing the activity of acetylcholinesterase and regulating the concentration of calciumion.
ABSTRACT
Objective: To explore the mechanism of the intervention of Xinkeshu Tablets (XKST) on atherosclerosis (AS) and provide reference for the secondary development and clinical application of XKST. Methods: The integrated pharmacology platform was used to predict the key targets and pathways of the intervention of XKST on AS and its molecular mechanism was also explored. Results: In the integrative analysis of heterogeneous network of “TCM-component-target-pathway”, 80 relevant effective ingredients were found, including B4GALT4, B4GALT2, PRKCD, GCK, GNB1, and other key targets; Endocrine system, thyroid hormone signaling pathway, nervous system, estrogen signaling pathway, and chemokine signaling pathway were key pathways related with its anti-atherosclerosis. Conclusion: According to the analysis and prediction of the enrichment information, the effect of XKST on common regulating PI3K/Akt/eNOS and Raf/MEK/ERK signaling pathway and protecting vascular endothelial cells is first prompted, thus achieving the intervention in AS.
