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Objective:By adopting network pharmacology to study the mechanism of the two classical Chinese herbs Danggui-Baishao in treating cardiovascular diseases. Methods:By searching from TCMSP and related literature, together with the databases of TCMSP, SWISS and STITCH, potential active compounds of Danggui-Baishao were collected, while the targets for cardiovascular diseases were obtained from TTD, OMIM and DrugBank databases. Then the PPI network was screened for the major targets. The KEGG Pathway annotation analyses of major targets were performed by using the DAVID database. The ingredient-major target-key pathway network was constructed by Cytoscape. Results:There were 17 compounds and 54 major targets in the ingredient-target-pathway network, as well as 10 key pathways, including inflammation-related pathway (TNF signaling pathway), pathways related to cardiovascular system (such as PI3K-Akt signaling pathway, FoxO signaling pathway, VEGF signaling pathway, Rap1 signaling pathway), prolactin signaling pathway and estrogen signaling pathway.Conclusions:The study verified the characteristics of multi-components, multi-targets and integral regulation for Danggui-Baishao with the application of network pharmacology. It predicted that Dangui-Baishao couldtreat cardiovascular diseases mainly by regulating angiogenesis, inflammatory response and apoptosis.
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Objective@#By adopting network pharmacology to study the mechanism of the two classical Chinese herbs Danggui-Baishao in treating cardiovascular diseases.@*Methods@#By searching from TCMSP and related literature, together with the databases of TCMSP, SWISS and STITCH, potential active compounds of Danggui-Baishao were collected, while the targets for cardiovascular diseases were obtained from TTD, OMIM and DrugBank databases. Then the PPI network was screened for the major targets. The KEGG Pathway annotation analyses of major targets were performed by using the DAVID database. The ingredient-major target-key pathway network was constructed by Cytoscape.@*Results@#There were 17 compounds and 54 major targets in the ingredient-target-pathway network, as well as 10 key pathways, including inflammation-related pathway (TNF signaling pathway), pathways related to cardiovascular system (such as PI3K-Akt signaling pathway, FoxO signaling pathway, VEGF signaling pathway, Rap1 signaling pathway), prolactin signaling pathway and estrogen signaling pathway.@*Conclusions@#The study verified the characteristics of multi-components, multi-targets and integral regulation for Danggui-Baishao with the application of network pharmacology. It predicted that Dangui-Baishao couldtreat cardiovascular diseases mainly by regulating angiogenesis, inflammatory response and apoptosis.
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OBJECTIVE： To screen the quality control components of Chrysanthemum morifolium based multiple component metabolism， and study its network pharmacology effect. METHODS： The water extract of C. morifolium was prepared. A total of one rats were selected， water extract of C. morifolium was perfused in jejunum segment after abdominal anesthesia； plasma sample 1 was collected by double perfusion collection. Other 3 rats were given water extract of C. morifolium intragastrically， and plasma sample 2 was collected by abdominal aorta blood collection. UPLC-MS/MS was used to analyze water extract of C. morifolium and plasma sample component， and prototype blood-entry component in water extract of C. morifolium was identified after metabolism. TCMSP and Swiss Target Prediction database were used to screen the core target of prototype blood-entry component. DAVID database was used to enrich the related pathways of core target. The quality control components were screened according to topological parameters. Cytoscape software was used to analyze pharmacological effect of quality control components of C. morifolium. RESULTS： After UPLC-MS/MS analysis， 27 compounds were identified in water extract of C. morifolium， among which there were 12 prototype blood-entry components. After network pharmacology analysis， 7 quality control components were identified， i.e. cosmosiin， apigenin-7-O-glucuronide， luteolin， tilianin， apigenin， hesperetin， acacetin. It was possible to treat cancer， cardiovascular and cerebrovascular diseases， and neurological diseases by acting on metabolic pathway， cancer related pathway， signal transduction related pathway， adipocyte lipolysis regulatory pathway， etc. CONCLUSIONS： The study screen the possible quality control components of water extract of C. morifolium. The theoretical pharmacological effect of it can be clarified through network pharmacology， which can provide a new idea for the utilization of C. morifolium.