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OBJECTIVE： To screen the active component， target and pathway of couplet medicine of “Bupleuri Radix- Atractylodis macrocephalea Rhizoma”， and to comprehensively explore its potential mechanism. METHODS： Based on the method of network pharmacology， main active componets and potential targets of couplet medicine of “Bupleuri Radix-A. macrocephalea Rhizoma” were retrieved from TCMSP， DRAR-CPI， Genecards and OMIM database. The active component-potential target network and interaction network of potential targets were established by Cytoscape 3.6.0 software. Five potential core targets were screened， and its affinity with active components were validated with molecule docking method. GO classified enrichment analysis and KEGG pathway enrichment analysis of potential targets were carried out to obtain key pathway so as to construct active component-potential target-key pathway network. RESULTS： Totally 17 active components and 47 active component-potential targets were obtained from couplet medicine of “Bupleuri Radix-A. macrocephalea Rhizoma”. Five core targets were obtained， including AKT1， PRKCA， PRKCE， HRas， and PIK3CA. Five signaling pathways were involved， including MAPK pathway， PI3K/AKT pathway， RAS pathway， Estrogen pathway， BMP pathway. CONCLUSIONS： The couplet medicine of “Bupleuri Radix-A. macrocephalea Rhizoma” not only act on multiple targets through multiple components for mammary hyperplasia， but also play a complex network regulation role through the interaction between potential targets.
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OBJECTIVE： To explore the component， target and pathway of Panax notoginseng for coronary heart disease （CHD） and its potential molecular mechanism. METHODS： Based on network pharmacology， active components of P. notoginseng were retrieved with TCMSP platform. The targets of P. notoginseng for CHD were screened by using DRAR-CPI server， GeneCards and DisGeNET databases. Cytoscape 3.6.0 software was used to form the effective components-CHD targets network of P. notoginseng. String database was used to draw target interaction network. Network Analyzer tool was used to calculate target connectivity， and potential core targets were screened. Molecular docking between the core targets and the effective components of P. notoginseng was performed by Systems Dock Web Site server. KEGG pathway enrichment analysis and gene ontology （GO） enrichment analysis were also carried out to explore the important signal pathway and molecular function of P. notoginseng for CHD. “Effective component-target-signal pathway”network of important signal pathway were constructed. RESULTS： Five effective components （stigmasterol， β-sitosterol， ginsenoside rh2， quercetin， notoginsenoside r1） were screened from P. notoginseng for CHD， which acted on 96 targets and had 134 functional relationships. Five core targets were protein kinase B （AKT）， interleukin 6 （IL-6）， vascular endothelial growth factor A （VEGFA）， c-JUN protein （c-JUN） and heparin binding epidermal growth factor （HB-EGF）， which played an important role in the treatment of CHD by altering protein binding and regulating signaling pathways as phosphatidylinositol-3 kinase-protein/kinase B （PI3K/AKT）， hypoxia-inducible factor-1 （HIF-1） and mitogen-activated protein kinase （MAPK）. CONCLUSIONS： P. notoginseng in the treatment of CHD is not only play a variety of effects through the role of multiple targets， but also produce complex network regulation effect through the interaction between targets.
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OBJECTIVE： To study the mechanism of Cistanche deserticola in the treatment of osteoporosis by network pharmacology. METHODS： The active components of C. deserticola were retrieved and obtained by TCM system platform （TCMSP）. Reverse molecular docking server DRAR-CPI and related databases GeneCards and OMIM were used to screen the target of C. deserticola active ingredients in the treatment of osteoporosis. The “component-target”network of C. deserticola was constructed by Cytoscape software， and the interaction between targets was plotted by String database and Cytoscape software. The combination activity of target and active ingredient was evaluated via molecular docking with Systems Dock WebSite server. GO classification and enrichment analysis and KEGG pathway enrichment analysis were conducted for target genes using DAVID database. RESULTS： Totally 13 active ingredients were screened out from C. deserticola， such as verbascoside， leonurine， geniposidic acid. There were 43 active ingredient-treated potential targets， such as RUNX2， VEGF， IL-6， BGP， TNF. Multiple signaling pathways were involved in target action， such as WNT （Wingless/Integrated）， VEGF， TNF. CONCLUSIONS： This study preliminarily explores and validates the main targets and pathways of C. deserticola in the treatment of osteoporosis， which lay the foundation for further study of its mechanism.
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OBJECTIVE： To investigate the effects and its mechanism of calcium phosphate bone cement （CPC） loading total flavonoids of Davallia mariesii on osteogenic differentiation of induced membrane in rats. METHODS： Drug-loading CPC and drug-loading polymethyl methacrylate （PMMA） cement were prepared with the contents of Qianggu capsules （total flavonoids of D. mariesii as active ingredient） using CPC and PMMA cement as carrier. Totally 64 male SD rats were randomly divided into drug-loading CPC group， drug-loading PMMA cement group， no-drug CPC group， no-drug PMMA cement group， with 16 rats in each group. The femur of rats was separated and osteotomized to prepare bone defect model， and then the corresponding bone cement was implanted. Four weeks after modeling， the induced membranes of rats were cut and protected. Bone cement was taken out and autogenous cancellous bone was implanted. At the 4th week after modeling， X-ray photographs were taken on the hind limb bones of rats. At the 4th week after modeling and 6th week after bone grafting， induced membranes and new bone were taken from the bone defect area of rats respectively. HE staining was used to observe the morphology of induced membrane， and the width of bone rabecular and the number of osteoblasts of new bone tissue were measured. Immunohistochemistry was used to detect the protein expression of BMP-2 and VEGF in induced membrane. Western blotting assay was used to detect the protein expression of Smad1， Smad4 and Smad7 in new bone. RESULTS： Compared with other 3 groups， the degradation of bone cement in drug-loading CPC group was more obvious in the bone defect areas， which showed that the formation of induced membrane was observed and the bone defect areas were smaller； capillary endothelial cells were abundant and orderly arranged in the induced membranes， and the width of bone trabeculae and the number of osteoblasts in the new bone tissue increased significantly （P＜0.05）； the protein expression of BMP-2 and VEGF in the induced membrane， the protein expression of Smad1， Smad4 and Smad7 in new bone were increased significantly （P＜0.05）. CONCLUSIONS： CPC loading total flavonoids of D. mariesii promotes the formation of induced membrane osteoblast in bone defect model rats， which may be associated with regulating osteoblast differentiation by activating BMP-2/Smad pathway； at the same time， it can promote bone healing by promoting the differentiation of vascular endothelial cells， accelerating the formation of capillary network and increasing the expression of vascular endothelial cells.