To explore the mechanism of Taohong Siwu Decoction on diabetic heart failure based on GEO differential gene chip data and network pharmacology

K. Cao, Wei Wang, Junli Zhang, Lei Deng, F. Han
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Abstract

Abstract: Objective: To analyze the molecular mechanism of Taohong Siwu Decoction in the treatment of diabetic heart failure based on network pharmacology and bioinformatics technology.METHODS: The bioactive components of Taohong Siwu Decoction were screened by TCMSP, a database of traditional Chinese medicine systems pharmacology, and the targets of the active components were predicted by Swiss Target Prediction. At the same time, the GEO database was searched for data sets related to diabetic heart failure, the data set GSE26887 was used for research, and the GEO2R online analysis tool and R language were used for differential gene screening and annotation. The drug targets and disease targets were imported into Cytoscape to construct a protein-protein interaction (PPI) network to obtain key genes. The key genes were imported into the Metascape platform for GO enrichment analysis and KEGG signaling pathway analysis. Results: A total of 49 active ingredients of Taohong Siwu Decoction and 754 potential therapeutic targets were obtained. Differential gene screening was performed on the dataset GSE26887, and 69 significantly expressed genes were obtained. 754 drug targets and 69 disease targets were imported into Cytoscape for protein-protein interaction, and BisoGenet plug-in was used for topological parameter analysis, and 323 key targets of Taohong Siwu Decoction in the treatment of diabetic heart failure were obtained. Conclusion: Taohong Siwu Decoction in the treatment of diabetic heart failure has the characteristics of multiple components, multiple pathways and multiple targets. Among them, the key genes are NTRK1, HSP90AA1, CUL3, TUBA4A, TP53. Important pathways are estrogen signaling pathway, ErbB signaling pathway, p53 signaling pathway, and Hedgehog signaling pathway. They may play a combined role in the treatment of diabetic heart failure.
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基于GEO差异基因芯片数据和网络药理学,探讨桃红四物汤治疗糖尿病性心衰的作用机制
摘要:目的:基于网络药理学和生物信息学技术,分析桃红四物汤治疗糖尿病性心衰的分子机制。方法:利用中药系统药理学数据库TCMSP筛选桃红四物汤的生物活性成分,并利用Swiss Target Prediction预测活性成分的作用靶点。同时,在GEO数据库中检索与糖尿病心力衰竭相关的数据集,使用数据集GSE26887进行研究,使用GEO2R在线分析工具和R语言进行差异基因筛选和标注。将药物靶点和疾病靶点导入Cytoscape,构建蛋白-蛋白相互作用(PPI)网络,获取关键基因。将关键基因导入metscape平台进行GO富集分析和KEGG信号通路分析。结果:共获得桃红四物汤49种有效成分,754个潜在治疗靶点。对数据集GSE26887进行差异基因筛选,获得69个显著表达基因。将754个药物靶点和69个疾病靶点导入Cytoscape进行蛋白-蛋白相互作用,并利用BisoGenet插件进行拓扑参数分析,获得桃红四物汤治疗糖尿病性心力衰竭的323个关键靶点。结论:桃红四物汤治疗糖尿病性心力衰竭具有多成分、多途径、多靶点的特点。其中,关键基因为NTRK1、HSP90AA1、CUL3、TUBA4A、TP53。重要的信号通路有雌激素信号通路、ErbB信号通路、p53信号通路和Hedgehog信号通路。它们可能在糖尿病性心力衰竭的治疗中发挥联合作用。
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