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基于网络药理学研究佛手–香橼药对治疗心绞痛的作用机制
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Abstract:
目的:利用网络药理学方法探讨“佛手–香橼”药对在心绞痛患者中的临床价值。方法:本研究拟以“佛手–香橼”为研究对象,采用Cytoscape 3.7.2构建“活性成分–靶点”网络图谱。通过GeneCards数据库收集心绞痛的相关靶点,将药物的有效靶点与疾病相关靶点进行关联,选取交集靶基因上传STRING 11.0数据库建立蛋白质相互作用网络,并导入Cytoscape 3.7.2对其进行处理。利用Metascape平台对其进行GO富集分析与KEGG Pathway富集分析。结果:共获得佛手和香橼活性成分12个,对应靶点278个,心绞痛相关靶点4478个。药物–疾病作用核心靶点98个,其中包括AKT1、PPARG、PTGS2、SRC、BCL2、MAPK3、EGFR等。结论:通过上述研究,初步阐明“佛手–香橼”对心绞痛“多途径,多靶点”的作用机理,为“佛手–香橼”在冠心病心绞痛防治中的应用提供新的研究思路和理论依据。
Objective: To investigate the clinical value of the “bergamot-citron” drug pair in angina pectoris patients using a network pharmacology approach. Methods: In this study, we used “bergamot-citron” as the research object, and Cytoscape 3.7.2 was used to construct an “active ingredient-target” network map. The GeneCards database was used to collect angina pectoris-related targets, correlate the effective targets of the drugs with the disease-related targets, select the intersecting target genes and upload them to the STRING 11.0 database to establish a protein interaction network, which was then imported into Cytoscape 3.7.2 for processing. The Metascape platform was used for GO enrichment analysis and KEGG Pathway enrichment analysis. Results: A total of 12 active components of bergamot and citron were obtained, corresponding to 278 targets, and 4478 angina-related targets. There were 98 drug-disease action core targets, including AKT1, PPARG, PTGS2, SRC, BCL2, MAPK3 and EGFR, etc. Conclusion: Through the above study, the mechanism of “multi-pathway, multi-target” of “bergamot-citron” on angina pectoris was initially elucidated, providing new research ideas and new applications of “Bergamot-citron” in the prevention and treatment of angina pectoris in coronary heart disease.
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