AIM： To illuminate the molecular targets for schisandrin against cerebrovascular disease based on the combined methods of network pharmacology prediction and experimental verification. METHOD： A protein database was...AIM： To illuminate the molecular targets for schisandrin against cerebrovascular disease based on the combined methods of network pharmacology prediction and experimental verification. METHOD： A protein database was established through constructing the drug-protein network from literature mining data. The protein-protein network was built through an in-depth exploration of the relationships between the proteins. The computational platform was implemented to predict and extract the sensitive sub-network with significant P-values from the protein-protein network. Then the key targets and pathways were identified from the sensitive sub-network. The most related targets and pathways were also confirmed in hydrogen peroxide （H202）-induced PC 12 cells by Western blotting. RESULTS： Twelve differentially expressed proteins （gene names： NFKB1, RELA, TNFSF10, MAPK1, CHUK, CASP8, PIGS2, MAPK 14, CREBI, IFNG, APR and BCL2） were confirmed as the central nodes of the interaction network （45 nodes, 93 edges）. The NF-KB signaling pathway was suggested as the most related pathway of schisandrin for cerebrovascular disease. Furthermore, schisandrin was found to suppress the expression and phosphorylation of 1KKct, as well as p50 and p65 induced by H2O2 in PC12 cells by Western blotting. CONCLUSION： The computational platform that integrates literature mining data, protein-protein interactions, sensitive sub-network, and pathway results in identification of the NF-arB signaling pathway as the key targets and pathways for schisandrin.展开更多
基金supported by the National Natural Science Foundation of China(No.81274004)National Key Technologies R&D Program of China(No.2008BAI51B03)+1 种基金2011’Program for Excellent Scientific and Technological Innovation Team of Jiangsu Higher Education,a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions,the Project Program of the State Key Laboratory of Natural Medicines,China Pharmaceutical University(No.JKGZ201107)the Graduate Student Scientific Research Innovation Plan of Jiangsu Higher Education Institutions(No.CXZZ11_0795)
文摘AIM： To illuminate the molecular targets for schisandrin against cerebrovascular disease based on the combined methods of network pharmacology prediction and experimental verification. METHOD： A protein database was established through constructing the drug-protein network from literature mining data. The protein-protein network was built through an in-depth exploration of the relationships between the proteins. The computational platform was implemented to predict and extract the sensitive sub-network with significant P-values from the protein-protein network. Then the key targets and pathways were identified from the sensitive sub-network. The most related targets and pathways were also confirmed in hydrogen peroxide （H202）-induced PC 12 cells by Western blotting. RESULTS： Twelve differentially expressed proteins （gene names： NFKB1, RELA, TNFSF10, MAPK1, CHUK, CASP8, PIGS2, MAPK 14, CREBI, IFNG, APR and BCL2） were confirmed as the central nodes of the interaction network （45 nodes, 93 edges）. The NF-KB signaling pathway was suggested as the most related pathway of schisandrin for cerebrovascular disease. Furthermore, schisandrin was found to suppress the expression and phosphorylation of 1KKct, as well as p50 and p65 induced by H2O2 in PC12 cells by Western blotting. CONCLUSION： The computational platform that integrates literature mining data, protein-protein interactions, sensitive sub-network, and pathway results in identification of the NF-arB signaling pathway as the key targets and pathways for schisandrin.
