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Objective: To explore the mechanism of Salvia miltiorrhiza in treatment of microcirculatory disturbance based on network pharmacology. Methods: The targets of S. miltiorrhiza’s active components for treatment of microcirculatory disturbance were screened and predicted by utilizing TCMSP, PubChem Search, Genecards database and Swiss target prediction online tool. Cytoscape 3.3.0 software was adopted to construct an active component-microcirculatory disturbance target network. The protein-protein interaction (PPI) network was established by using STRING database. DAVID database was used to analyze metabolism pathway in target gene ontology (GO) biological process, Kyoto encyclopedia of genes and gnomes (KEGG). Results: Totally 65 active components of S. miltiorrhiza and nine related targets were screened. GO and KEGG pathway enrichment analysis revealed that active components of S. miltiorrhiza participated in oxidation-reduction process, cellular calcium ion homeostasis and other biological processes, and S. miltiorrhiza may regulate VEGF signaling pathway, cholinergic synapse signal transduction, oxytocin signaling pathway, aldosterone-regulated sodium reabsorption pathway and so on. Conclusion: This study reflects the characteristics of multi-components, multi-targets, and multi-pathways of S. miltiorrhiza in the treatment of microcirculation disturbance, which may provide new ideas and methodology for further research on the treatment of microcirculatory disturbance using S. miltiorrhiza.
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Objective: To explore the mechanism of Shenqi Jiangtang Granules (SJG) in the treatment of diabetic microcirculation disorder based on network pharmacology. Methods: The targets of diabetic kidney disease, diabetic retinopathy, diabetic peripheral neuropathy, diabetic foot disease and small cerebral vascular disease were searched through Genecards database to be integrated as the targets of diabetic microcirculation disorder disease. The targets of SJG' active components for treatment of diabetic microcirculation disorder were screened and predicted by utilizing PubChem Search and Swiss target prediction online tool. Cytoscape 3.3.0 software was adopted to construct an active component-diabetic microcirculation disorder target network. The protein-protein interaction (PPI) network was established by using STRING database. Gene ontology (GO) biological process and Kyoto Encyclopedia of Genes and Gnomes (KEGG) pathway enrichment analysis were performed using Clue GO. Results: A total of 85 active components of SJG and 10 targets (ACE, VEGFA, TNF, IL6, STAT3, ALB, PON1, PTPN22, PPARG and NOS3) related to diabetic microcirculation disorder were screened. Through GO and KEGG pathway enrichment analysis, it was found that the active components of SJG in the treatment of diabetic microcirculation disorder may participate in multiple signaling pathways, such as AGE-RAGE signaling pathway in diabetic complications, HIF-1 signaling pathway, insulin resistance, hypertrophic cardiomyopathy, inflammatory bowel disease, rheumatoid arthritis, etc. Conclusion: This study reflects the characteristics of multi-components, multi-targets and multi-pathways of SJG, which provides new ideas and clues for further research on the mechanism of SJG in the treatment of diabetic microcirculation disorder.
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Objective: To analyze the molecular biological mechanism of Shenqi Jiangtang Granules (SJG) in the treatment of lipid metabolism disorder based on network pharmacology and glucolipid metabolic disorders (GLMD) theory. Methods: The targets of SJG's active components for treatment of lipid metabolism disorder were screened and predicted by utilizing PubChem Search, Genecards database and Swiss target prediction online tool. The protein-protein interaction (PPI) network was established by using STRING database. Cytoscape 3.3.0 software was adopted to construct a disease-active component-potential target network. Gene ontology (GO) biological process and Kyoto Encyclopedia of Genes and Gnomes (KEGG) pathway enrichment analysis were performed using Clue GO. Results: A total of 115 active components of SJG and 22 targets related to lipid metabolism disorder were screened. The active components of SJG regulated intermediate-density lipoprotein particle remodeling, glycolytic process by regulation of transcription from RNA polymerase II promoter and leukotriene production involved in inflammatory response, and participated in AGE-RAGE signaling pathway, NF-κB signaling pathway, TNF signaling pathway and bile secretion. Conclusion: This study reflects the characteristics of multi-components, multi-targets, and multi-pathways of SJG, and provides new ideas and clues for new application of SJG, which is consistent with the GLMD theory.