|本期目录/Table of Contents|

[1]胡 杨,吴雄志.基于网络药理学预测当归贝母苦参丸治疗前列腺癌作用靶点及细胞内信号转导通路[J].天津医科大学学报,2019,25(01):24-27.
 HU Yang,WU Xiong-zhi.Predicting the target and intracellular signal transduction pathway of angelica fritillariakushenpill in prostate cancer by a network pharmacology approach[J].Journal of Tianjin Medical University,2019,25(01):24-27.
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基于网络药理学预测当归贝母苦参丸治疗前列腺癌作用靶点及细胞内信号转导通路(PDF)
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《天津医科大学学报》[ISSN:1006-8147/CN:12-1259/R]

卷:
25卷
期数:
2019年01期
页码:
24-27
栏目:
基础医学
出版日期:
2019-01-20

文章信息/Info

Title:
Predicting the target and intracellular signal transduction pathway of angelica fritillariakushenpill in prostate cancer by a network pharmacology approach
文章编号:
1006-8147(2019)01-0024-04
作者:
胡 杨吴雄志
(天津医科大学肿瘤医院中医科,国家肿瘤临床医学研究中心,天津市“肿瘤防治”重点实验室,天津市恶性肿瘤临床医学研究中心,天津 300060)
Author(s):
HU YangWU Xiong-zhi
(Department of Traditional Chinese Medicine, Cancer Institute and Hospital, Tianjin Medical University, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy,Tianjin, Tianjin’s Clinical Research Center for Cancer,Tianjin 300060, China)
关键词:
当归贝母苦参丸前列腺癌网络药理学富集分析信号通路
Keywords:
angelica fritillariakushenpillprostate cancernetwork pharmacologyenrichment analysissignaling pathway
分类号:
R96
DOI:
-
文献标志码:
A
摘要:
目的:通过网络药理学方法预测分析当归贝母苦参丸治疗前列腺癌的潜在机制。方法:通过TCMSP数据库检索中药的化学成分和作用靶点,并于UniProtKB网络平台获取每种靶蛋白的基因名。借助CTD等数据库查询疾病靶点。在STRING数据库中构建蛋白-蛋白互作网络(PPI),于Cytoscape中进行网络可视化分析。通过DAVID数据平台对关键靶蛋白进行分析。结果:从TCMSP数据库中共筛选得到26个药物有效成分。PPI网络包括135个药物疾病交集靶基因,关键蛋白为34个。基因本体论(GO)分析这些靶基因涉及生物功能条目最多,共290个。京都基因与基因组百科全书(KEGG)通路主要涉及肿瘤信号通路等。结论:当归贝母苦参丸治疗前列腺癌是多靶点、多通路协同作用的结果,能够通过抑制细胞增殖,促进细胞凋亡,抑制迁移以及抑制肿瘤血管生成等多方面发挥其抗肿瘤作用。
Abstract:
Objective: To predict and analyze the potential mechanism of angelica fritillariakushenpill in the treatment for prostate cancer by network pharmacology. Methods: The TCMSP database was used to search for the chemical components and targets of traditional Chinese medicine, and the gene name of each target protein was obtained on the UniProtKB web platform. CTD and other databases were used to query disease targets. The protein-protein interaction (PPI) was constructed in the STRING database, and the network was visualized in Cytoscape. Key target proteins were analyzed by the DAVID data platform. Results: Twenty-six active pharmaceutical ingredients were screened from the TCMSP database. The PPI network included 135 drug-disease target gene intersections, with 34 key proteins. Gene ontology (GO) analysis of these target genes involved the largest number of biological function items, a total of 290. The Kyoto encyclopedia of genes and Genomes (KEGG) pathway mainly involvedtumorsignaling pathways. Conclusion: Angelica fritillariakushenpill may have a multi-target and multi-pathway synergistic effect on the treatment of prostate cancer. It can enhance its anti-tumor effects by inhibiting cell proliferation, promoting apoptosis, inhibiting migration, and inhibiting tumor angiogenesis and so on.

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备注/Memo

备注/Memo:
基金项目 国家自然科学基金资助项目(81473441)
作者简介 胡杨(1993-),女,硕士在读,研究方向:抗癌中草药临床及基础研究;通信作者:吴雄志,E-mail:wuxiongzhi@163.com。
更新日期/Last Update: 2019-03-01