Objective: To study the molecular mechanism of Xinyi San for the treatment of senile rhinitis by applying network pharmacological analysis technology. Methods: The effective components and corresponding targets of Xin...Objective: To study the molecular mechanism of Xinyi San for the treatment of senile rhinitis by applying network pharmacological analysis technology. Methods: The effective components and corresponding targets of Xinyi San were collected by TCMSP. The targets of senile rhinitis were collected by the Genecards database. The potential target of Xinyi San in the treatment of senile rhinitis was obtained by Venn analysis. Cytoscape 3.7.2 the software constructs the relationship network model of “disease-single drug-active ingredient-action target”. Protein protein interaction (PPI) network was constructed by using a string database. R4.1.1 software was used for GO function enrichment analysis and KEGG pathway enrichment analysis. Results: In this study, we obtained 158 active ingredients, 40 potential therapeutic targets, 74 GO projects, and 99 pathways. Major pathways include Lipid and atherosclerosis, Chemical carcinogenesis-receptor activation, PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic complications, Pathways of neurodegeneration-multiple diseases, etc. Conclusion: Xinyi San has the characteristics of multi-component, multi-target, and multi-channel in the treatment of senile rhinitis. This study provides a basis for the in-depth study of Xinyi San.展开更多
文摘Objective: To study the molecular mechanism of Xinyi San for the treatment of senile rhinitis by applying network pharmacological analysis technology. Methods: The effective components and corresponding targets of Xinyi San were collected by TCMSP. The targets of senile rhinitis were collected by the Genecards database. The potential target of Xinyi San in the treatment of senile rhinitis was obtained by Venn analysis. Cytoscape 3.7.2 the software constructs the relationship network model of “disease-single drug-active ingredient-action target”. Protein protein interaction (PPI) network was constructed by using a string database. R4.1.1 software was used for GO function enrichment analysis and KEGG pathway enrichment analysis. Results: In this study, we obtained 158 active ingredients, 40 potential therapeutic targets, 74 GO projects, and 99 pathways. Major pathways include Lipid and atherosclerosis, Chemical carcinogenesis-receptor activation, PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic complications, Pathways of neurodegeneration-multiple diseases, etc. Conclusion: Xinyi San has the characteristics of multi-component, multi-target, and multi-channel in the treatment of senile rhinitis. This study provides a basis for the in-depth study of Xinyi San.
