[1]刘少玲,谢梅娟,谭雪群,等.基于网络药理学方法研究柴胡疏肝散抗消化性溃疡的作用机制[J].医学信息,2022,35(09):22-27.[doi:10.3969/j.issn.1006-1959.2022.09.006]
　LIU Shao-ling,XIE Mei-juan,TAN Xue-qun,et al.Study on the Mechanism of Chaihu Shugan Powder for Anti-peptic Ulcer Based on Network Pharmacology[J].Medical Information,2022,35(09):22-27.[doi:10.3969/j.issn.1006-1959.2022.09.006]
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基于网络药理学方法研究柴胡疏肝散抗消化性溃疡的作用机制()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
35卷
期数:
2022年09期
页码:
22-27
栏目:
药学信息学
出版日期:
2022-05-01

文章信息/Info

Title:
Study on the Mechanism of Chaihu Shugan Powder for Anti-peptic Ulcer Based on Network Pharmacology
文章编号:
1006-1959（2022）09-0022-06
作者:
刘少玲; 谢梅娟; 谭雪群; 等
（佛山市高明区中医院康复科1，内二科2，药学部3，广东 佛山 528500）
Author(s):
LIU Shao-ling; XIE Mei-juan; TAN Xue-qun; et al.
(Department of Rehabilitation1,the Second Department of Internal Medicine2,Department of Pharmacy3,Gaoming District Hospital of Traditional Chinese Medicine,Foshan 528500,Guangdong,China)
关键词:
柴胡疏肝散; 网络药理学; 消化性溃疡; 药物活性成分
Keywords:
Chaihu Shugan powder; Network pharmacology; Peptic ulcer; Active pharmaceutical ingredients
分类号:
R285.5
DOI:
10.3969/j.issn.1006-1959.2022.09.006
文献标志码:
A
摘要:
目的 基于网络药理学方法研究柴胡疏肝散（CSP）抗消化性溃疡（PU）的作用机制。方法 使用中药系统药理学数据库（TCMSP）获取CSP药物活性成分，通过Swiss Target Prediction平台预测药物活性成分的潜在靶点，并检索OMIM、TTD、DiGSeE 、Drug Bank及Human Phenotype Ontology（HPO）5个疾病靶点数据库，然后获得CSP抗PU的作用靶点。使用String数据库和CytoScape 3.2.1软件构建PPI网络，选出Degree值排名前10的作用靶点。通过Metascape平台对CSP抗PU的作用靶点进行KEGG通路分析。结果 从CSP中得到102个药物活性成分，其中柴胡14个，陈皮4个，川芎5个，香附15个，枳壳4个，白芍4个，甘草73个；共得到43个CSP抗PU与相关的作用靶点，网络中Degree值排名前10的靶点分别为VEGFA、EGFR、PTGS2、MMP9、TNF、SRC、MMP2、KDR、NOS3、TLR4。KEGG通路富集分析显示，CSP抗PU作用机制涉及癌症通路、HIF-1信号通路、PI3K-Akt信号通路、VEGF信号通路、雌激素信号通路等。结论 CSP抗PU的作用机制具有“多成分-多靶点-多通路”的特点。
Abstract:
Objective To study the mechanism of Chaihu Shugan Powder (CSP) for anti-peptic ulcer (PU)based on network pharmacology.Methods The active ingredients of CSP were obtained by Traditional Chinese Medicine System Pharmacology Database (TCMSP). The potential targets of active ingredients of CSP were predicted by Swiss Target Prediction platform. The five disease target databases of OMIM, TTD, DiGSeE, Drug Bank and Human Phenotype Ontology (HPO) were searched, and then the anti-PU targets of CSP were obtained. PPI network was constructed using String database and Cytoscape 3.2.1 software to select the top 10 targets of Degree. The KEGG pathway of CSP anti-PU targets was analyzed by Metascape platform.Results A total of 102 active ingredients were obtained from CSP, including Chaihu (n=14), Chenpi(n=4), Chuanxiong (n=5), Xiangfu (n=15), Zhike (n=4), Baishao (n=4) and Gancao (n=73). A total of 43 CSP anti-PU and related targets were obtained. The top 10 targets of Degree in the network were VEGFA, EGFR, PTGS2, MMP9, TNF, SRC, MMP2, KDR, NOS3 and TLR4. The enrichment analysis of KEGG pathway showed that the anti-PU mechanism of CSP involved cancer pathway, HIF-1 signaling pathway, PI3K-Akt signaling pathway, VEGF signaling pathway, and estrogen signaling pathway.Conclusion The anti-PU mechanism of CSP has the characteristics of ‘multi-component-multi-target-multi-pathway’.

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更新日期/Last Update: 1900-01-01