{"title":"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","authors":"K. Cao, Wei Wang, Junli Zhang, Lei Deng, F. Han","doi":"10.1145/3563737.3563745","DOIUrl":null,"url":null,"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.","PeriodicalId":127021,"journal":{"name":"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"To explore the mechanism of Taohong Siwu Decoction on diabetic heart failure based on GEO differential gene chip data and network pharmacology\",\"authors\":\"K. Cao, Wei Wang, Junli Zhang, Lei Deng, F. Han\",\"doi\":\"10.1145/3563737.3563745\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":127021,\"journal\":{\"name\":\"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing\",\"volume\":\"146 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3563737.3563745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Biomedical Signal and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3563737.3563745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To explore the mechanism of Taohong Siwu Decoction on diabetic heart failure based on GEO differential gene chip data and network pharmacology
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.