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基于网络药理学探讨柴芍六君子汤防治化疗所致恶心呕吐的作用机制
引用本文:黄菁,郑进,汪宗清,陈晨,沈红梅,赵瑞莲,王仕奇.基于网络药理学探讨柴芍六君子汤防治化疗所致恶心呕吐的作用机制[J].中国医院用药评价与分析,2022(1).
作者姓名:黄菁  郑进  汪宗清  陈晨  沈红梅  赵瑞莲  王仕奇
作者单位:昆明医科大学第三附属医院/云南省肿瘤医院中西医结合科;南京中医药大学第一临床医学院;云南省中医药学会;云南中医药大学第一临床医学院
基金项目:全国中医药创新骨干人才培训项目资助项目(国中医药人教函〔2019〕128号);2019年度云南省高层次卫生健康技术人才培养项目(No.H-2019077);云南省教育厅科学研究基金资助项目(No.2019J1290);云南省科技厅-昆明医科大学应用基础研究联合专项面上项目资助项目(No.202001AY070001-245)。
摘    要:目的:采用网络药理学方法,探讨柴芍六君子汤防治化疗所致恶心呕吐可能的作用机制。方法:基于中药系统药理学数据库与分析平台,检索柴芍六君子汤组成药物柴胡、白芍、党参、茯苓、白术、陈皮、半夏和甘草的化学成分和潜在靶点,选择口服生物利用度≥30%和类药性≥0.18作为化学成分筛选条件;在GeneCards数据库检索化疗所致恶心呕吐的疾病靶点;利用Cytoscape 3.6.0软件绘制“柴芍六君子汤-化学成分-靶点-化疗所致恶心呕吐”网络;使用STRING 11.0在线软件构建蛋白质-蛋白质相互作用网络并挖掘核心靶点;采用David Bioinformatics Resources数据库对该方活性成分潜在靶点网络中的蛋白进行基因本体(GO)功能富集分析和基于京都基因与基因组百科全书(KEGG)通路富集分析。结果:GO功能富集分析提示,柴芍六君子汤广泛参与了机体代谢、炎症等生物过程。KEGG生物通路富集分析显示,柴芍六君子汤参与的信号通路均与炎症相关,疾病通路主要与病毒感染、多种恶性肿瘤密切相关。结论:本研究从网络药理学角度预测了疏肝健脾法的代表方剂柴芍六君子汤疏肝行气、健脾和胃防治化疗所致恶心呕吐可能的信号通路,为后续机制研究奠定了一定的基础。

关 键 词:疏肝健脾  柴芍六君子汤  化疗所致恶心呕吐  网络药理学

Mechanism of Chaishao Liujunzi Decoction in Prevention and Treatment of Chemotherapy-Induced Nausea and Vomiting Based on Network Pharmacology
HUANG Jing,ZHENG Jin,WANG Zongqing,CHEN Chen,SHEN Hongmei,ZHAO Ruilian,WANG Shiqi.Mechanism of Chaishao Liujunzi Decoction in Prevention and Treatment of Chemotherapy-Induced Nausea and Vomiting Based on Network Pharmacology[J].Evaluation and Analysis of Drug-Use in Hospital of China,2022(1).
Authors:HUANG Jing  ZHENG Jin  WANG Zongqing  CHEN Chen  SHEN Hongmei  ZHAO Ruilian  WANG Shiqi
Institution:(Dept.of Integrated Chinese and Western Medicine,the Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital,Kunming 650118,China;the First Clinical Medical College,Nanjing University of Chinese Medicine,Nanjing 210000,China;Yunnan Provincial Association of Traditional Chinese Medicine,Kunming 650021,China;the First Clinical Medicine College,Yunnan University of Chinese Medicine,Kunming 650500,China)
Abstract:OBJECTIVE:To probe into the potential mechanism of Chaishao Liujunzi decoction in prevention and treatment of chemotherapy-induced nausea and vomiting(CINV)based on liver-soothing and spleen-strengthening method.METHODS:The pharmacological database and analysis platform of traditional Chinese medicine system was used to search the chemical components and potential targets of drug composition of Chaishao Liujunzi decoction,including Bupleuri Radix,Paeoniae Radix Alba,Codonopsis Radix,Poria,Atractylodis Macrocephalae Rhizoma,Citri Reticulatae Pericarpium,Pinelliae Rhizoma,and Glycyrrhizae Radix et Rhizoma,oral bioavailability≥30%and drug-likeness≥0.18 were set as the screening conditions of chemical composition;the GeneCards database was used to retrieve disease targets of CINV;Cytoscape 3.6.0 software was used to draw the network of“Chaishao Liujunzi decoction-chemical components-target-CINV”;STRING 11.0 online software was used to construct a protein-protein interaction network and to mine the core targets;David Bioinformatics Resources database was used to conduct gene ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Gene and Genome(KEGG)pathway enrichment analysis on protein in the network of potential targets of active ingredients in the formula.RESULTS:The GO functional enrichment analysis indicated that Chaishao Liujunzi decoction had extensively participated in biological processes including body metabolism and inflammation.The KEGG pathway enrichment analysis indicated that all the signaling pathways of Chaishao Liujunzi decoction were related to inflammation,the disease pathways were mainly closely related to virus infection and various malignant tumor.CONCLUSIONS:This study predicts the possible signaling pathways of prevention and treatment of CINV of Chaishao Liujunzi decoction from the perspective of network pharmacology,a representative formula of liver-soothing and spleen-strengthening method,which laid a certain foundation for the subsequent mechanism research.
Keywords:Liver-soothing and spleen-strengthening  Chaishao Liujunzi decoction  Chemotherapy-induced nausea and vomiting  Network pharmacology
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