ABSTRACT
AIM To develop a pharmacological network screening method in predicting the potential target,active ingredients and pathway of Salicornia europaea L.for the treatment of diabetes,and to uncover its underlying multi-component,multi-target,multi-pathway mechanism.METHODS Information about fifteen kinds of bioactive chemical constituents of Salicornia europaea L.acquired from a large amount of literature were used to predict the targets according to PharmMapper Server,and such a prediction was also subjected to the screening of the antidiabetes drug targets approved by FDA in the DrugBank database.The relevant information of potential target and pathway was obtained by MAS 3.0 biomolecule function software.Cytoscape software was used to construct the Salicornia europaea L.ingredients-targets-pathways network.RESULTS Fifteen major active ingredients of Salicornia europaea L.affecting in a total of 86 pathways (VEGF signaling pathway,Fc epsilon RI signaling pathway,T cell receptor signaling pathway,etc),including the 30 particular diabetes-related pathways of MAP2K1,MAPK,GSK3B,AKT,etc.,fully demonstrated the multi-component,multi-target,multi-pathway mechanism of Salicornia europaea L.in the treatment of diabetes and its complications,through regulating immune,lipid metabolism,inflammation,apoptosis and other processes.CONCLUSION Given the new understanding in analyzing the scientific connotation of anti-diabetes effect,and the complex system of Salicornia europaea L.,this paper highlights the direction for the next step in the validation experiment of its target and mechanism.
ABSTRACT
OBJECTIVE: To predict the anti-diabetes effects of Corydalis yanhusuo alkaloids with pharmacological network technology and verify the results in animal models. METHODS: Targets of Corydalis yanhusuo alkaloids were collected from Pubmed, CNKI, Wangfang and VIP databases, and targets for treatment of diabetes and diabetic complications were searched from OMIM database. The "components-targets-diabetes" network was constructed and analyzed with cytoscape 2.8.2. Diabetes model was established by STZ injection. RESULTS: The targets of Corydalis yanhusuo alkaloids covered many kinds of protein, including ion channel, G coupled protein, and signal proteins such as potassium channel, MAPK/ERK, VEGF and NOS3. In the network, Corydalis yanhusuo alkaloids associated with diabetes and diabetic complications, especially, non-insulin dependent diabetes, obesity, and diabetic complications via modulation of NOS3, VEGF, INSR, KCNJ11 and IRS1, indicating potential effects of Corydalis yanhusuo for diabetes and diabetic complications. Corydalis yanhusuo alkaloids decreased blood glucose in normal and diabetic ICR mice and improved sugar tolerance in insulin-resistant mice, which was in conformity with the prediction. CONCLUSION: Corydalis yanhusuo alkaloids show potential effects on diabetes and diabetic complications.