[1]李风雷,韩紫阳,邱玲艳,等.萆菟汤治疗慢性前列腺炎的网络药理学研究[J].医学信息,2023,36(08):1-6,12.[doi:10.3969/j.issn.1006-1959.2023.08.001]
 LI Feng-lei,HAN Zi-yang,QIU Ling-yan,et al.Study on Network Pharmacology of Bitu Decoction in the Treatment of Chronic Prostatitis[J].Journal of Medical Information,2023,36(08):1-6,12.[doi:10.3969/j.issn.1006-1959.2023.08.001]
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萆菟汤治疗慢性前列腺炎的网络药理学研究()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
36卷
期数:
2023年08期
页码:
1-6,12
栏目:
中医药信息学
出版日期:
2023-04-15

文章信息/Info

Title:
Study on Network Pharmacology of Bitu Decoction in the Treatment of Chronic Prostatitis
文章编号:
1006-1959(2023)08-0001-07
作者:
李风雷韩紫阳邱玲艳
(1.南京中医药大学翰林学院,江苏 泰州 225300;2.泰州市海陵区里华卫生院,江苏 泰州 225300;3.南京中医药大学中医学院,江苏 南京 210046;4.南京中医药大学第一临床医学院,江苏 南京 210046;5.江苏卫生健康职业学院,江苏 南京 210029)
Author(s):
LI Feng-leiHAN Zi-yangQIU Ling-yanet al.
(1.Nanjing University of Chinese Medicine Hanlin College,Taizhou 225300,Jiangsu,China;2.Chengxi Street Health Service Center,Taizhou 225300,Jiangsu,China;3.College of Traditional Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210046,Jiangsu,China;4.First Clinical College of Nanjing University of Chinese Medicine, Nanjing 210046, China;5.Jiangsu Health Vocational College,Nanjing 210029,Jiangsu,China)
关键词:
网络药理学萆菟汤慢性前列腺炎分子对接
Keywords:
Network pharmacologyBitu decoctionChronic prostatitisMolecular docking
分类号:
R277.5
DOI:
10.3969/j.issn.1006-1959.2023.08.001
文献标志码:
A
摘要:
目的 基于网络药理学与分子对接技术分析萆菟汤治疗慢性前列腺炎的作用机制。方法 利用中药系统药理学分析平台与BATMAN-TCM数据库查询并筛选萆菟汤的主要化学成分,通过DisGeNET、GeneCards、OMIM数据库获取慢性前列腺炎相关疾病靶点;利用网站Venny2.1.0构建韦恩图筛选药对、疾病的共同靶点,通过软件Cytoscape构建药物-活性成分-靶点-疾病网络图;利用STRING平台构建PPI网络图,运用网站Metascape进行GO和KEGG分析,利用PyMoL及AutoDock Vina软件进行分子对接。结果 共筛选出药对300种成分和285个预测靶点,慢性前列腺炎靶点9109个;韦恩图得到药对、疾病的的共同靶点260个,这些靶点主要涉及对无机物的反应、氮化合物的细胞反应等,与MAPK、NF-κB等信号通路相关;分子对接结果显示,核心基因与成份结合性较好。结论 MAPK、NF-κB信号通路可能是萆菟汤治疗慢性前列腺炎的主要作用通路。
Abstract:
Objective To analyze the mechanism of Bitu decoction in the treatment of chronic prostatitis based on network pharmacology and molecular docking technology.Methods The main chemical components of Bitu Decoction were searched and screened by using the traditional Chinese medicine system pharmacology analysis platform and BATMAN-TCM database. The targets of chronic prostatitis-related diseases were obtained by DisGeNET, GeneCards and OMIM databases. Venny2.1.0 was used to construct the Venn diagram to screen the common targets of drug pairs and diseases, and the drug-active ingredient-target-disease network diagram was constructed by Cytoscape software. The PPI network diagram was constructed using the STRING platform, GO and KEGG analysis were performed using the website Metascape, and molecular docking was performed using PyMoL and AutoDock Vina software.Results A total of 300 components and 285 predicted targets were screened, and 9109 targets for chronic prostatitis were screened. Venn diagram obtained 260 common targets of drug pairs and diseases. These targets were mainly related to the reaction to inorganic substances and the cell reaction of nitrogen compounds, which were related to MAPK, NF-κB and other signaling pathways. The results of molecular docking showed that the core gene had a good combination with the components.Conclusion MAPK and NF-κB signal pathway may be the main action pathway of Bitu Decoction in treating chronic prostatitis.Conclusion MAPK and NF-κB signaling pathways may be the main pathways of Bitu Decoction in the treatment of chronic prostatitis.

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