基于数据挖掘和网络药理学探讨侯秀娟治疗无症状高尿酸血症的中药用药规律及作用机制
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R259

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国家中医药管理局“十二五”重点专科建设(预防保健科) 项目


Exploration on Medication Rules and Mechanism of Chinese Medicinals of HOU Xiujuan in Treating Asymptomatic Hyperuricemia Based on Data Mining and Network Pharma⁃ cology
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    摘要:

    目的:运用数据挖掘技术对侯秀娟教授治疗痰湿内蕴证无症状高尿酸血症(HUA) 中药处方进行 归纳分析,总结中药治疗无症状HUA的配伍特点及用药规律,根据网络药理学分析方法预测核心药物在无症 状HUA治疗中的潜在作用靶点及分子机制。方法:收集并筛选2018年1月—2023年9月期间北京中医药大学 东方医院风湿病科门诊侯秀娟主任治疗痰湿内蕴证无症状HUA的病例资料与门诊处方。借助Microsoft Excel 2022、IBM SPSS Modeler 18.0等软件,针对纳入的处方展开频次统计、关联规则以及聚类分析。通过中药系统 药理学数据库(TCMSP) 平台,获取中药的化学成分及其潜在靶点并加以归纳剖析;利用人类孟德尔遗 传(OMIM) 数据库、GeneCards等数据库筛选HUA相关疾病的靶点,同时绘制韦恩图找出药物靶点与HUA靶 点的交集靶点,运用蛋白质相互作用数据库(STRING) 构建蛋白质相互作用网络,进而筛选出最终的核心作 用靶点;并且在Metascape 网站探寻核心作用靶点富集的通路及其功能。结果:在所录入的389份处方中,共 出现221种中药。按照出现频数从高到低排名,位列前8位的药物依次为葛根、山药、薏苡仁、牛膝、茯苓、 车前草、白术、苍术,由这8味药构成的核心方剂被命名为“健脾降浊方”。有76个对应的化合物,以及 237 个相关作用靶点。在GeneCards、OMIM数据库中对HUA的靶点进行检索,经过合并并去除重复后,获得 HUA相关靶点910个。将核心中药的靶点与HUA相关靶点进行映射,得出中药治疗HUA的关键靶点73个,核 心方涉及76个化合物、237个相关作用靶点,HUA相关靶点90个,挖掘出中药与疾病的共同靶点73个、核心 靶点15个;通过富集分析获取京都基因与基因组百科全书(KEGG) 通路157条,主要涵盖脂质和动脉粥样硬 化信号通路、糖尿病中的AGE-RAGE信号通路、脉冲剪切力与动脉粥样硬化信号通路、磷酸肌醇3-激酶/蛋 白激酶B(PI3K/AKT) 信号通路等。结论:无症状湿浊内蕴证HUA应以健脾泄浊为基本治法,核心方治疗无 症状HUA 具有多成分、核心靶点、多条通路相互协同的特点,可能与有白细胞介素-6(IL-6)、肿瘤坏死因 子(TNF)、白细胞介素-1β(IL-1β) 等靶点关系密切,主要通过PI3K/AKT、白细胞介素-17(IL-17) 信号通 路等发挥调控尿酸代谢、抑制炎性反应的作用。

    Abstract:

    Abstract:Objective:To generalize and analyze the Chinese medicinal prescriptions of Professor HOU Xiujuan for the treatment of asymptomatic hyperuricemia (HUA) with internal accumulation of phlegm-damp syndrome by using data mining techniques,to summarize the combination characteristics and medication rules of Chinese medicinals for the treatment of asymptomatic HUA, and to predict the potential targets of the core Chinese medicinals and molecular mechanisms in the treatment of asymptomatic HUA based on network pharmacological analysis methods. Methods:The data collection and screening was conducted on the case data and outpatient prescriptions of patients of asymptomatic HUA with internal accumulation of phlegm-damp syndrome,who were treated by Professor HOU Xiujuan in the Department of Rheumatology,Dongfang Hospital,Beijing University of Chinese Medicine from January 2018 to September 2023. Frequency statistics,association rule analysis,and cluster analysis were performed on the included prescriptions by using Microsoft Excel 2022 and IBM SPSS Modeler 18.0 softwares. The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to obtain and summarize the chemical components and potential targets of Chinese medicinals; the Online Mendelian Inheritance in Man (OMIM) and GeneCards databases were used to screen for the targets of HUA-related diseases,and the Venn diagrams were drawn to find out the overlapping targets of Chinese medicinals and HUA, and the STRING database was used to construct a protein-protein interaction network,so as to screen the definitive core targets;and the pathways and functions of the core targets were explored in the Metascape website. Results: A total of 221 Chinese medicinals appeared in the 389 prescriptions recorded. The top 8 Chinese meidicinals,in decending order of frequency,were Puerariae Lobatae Radix,Dioscoreae Rhizoma,Coicis Semen,Achyranthis Bidentatae Radix,Poria,Plantaginis Herba,Atractylodis Macrocephalae Rhizoma,and Atractylodis Rhizoma. The core prescription consisting of such 8 Chinese medicinals was named as Jianpi Jiangzhuo Prescription. There were 76 corresponding compounds and 237 related targets. The targets of HUA were retrieved from GeneCards and OMIM databases,and 910 HUA-related targets were obtained after merging and removing the similar indicators. By mapping the targets of core Chinese medicinals to HUA-related targets,73 key targets for the treatment of HUA with Chinese medicinals were obtained , and the core prescription involved 76 compounds,237 related targets,and 90 HUA-related targets,which mined out 73 overlapping targets and 15 core targets of Chinese medicinals and diseases; 157 pathways were obtained by enrichment analysis from Kyoto Encyclopedia of Genes and Genomes (KEGG). Such pathways mainly covered lipid and atherosclerosis signaling pathway,AGE-RAGE signaling pathway in diabetes mellitus,pulse shear force and atherosclerosis signaling pathway, and PI3K/AKT signaling pathway. Conclusion:The basic treatment for asymptomatic HUA with internal accumulation of phlegm-damp syndrome should be focused on strengthening the spleen and purgating turbidity. The core prescription for the treatment of asymptomatic HUA has the characteristics of multi-components,multi-core targets,and multiple pathways synergizing actions,which may be closely related to the targets such as IL-6,TNF,IL-1β,etc.,primarily regulating the metabolism of uric acid and inhibiting inflammation through the signaling pathways such as PI3K/AKT, IL-17.

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曹凤娇,茹尘,卢斯仪,杜梦梦,李媛,钱唐亮,侯秀娟.基于数据挖掘和网络药理学探讨侯秀娟治疗无症状高尿酸血症的中药用药规律及作用机制[J].新中医,2025,57(9):187-194

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  • 在线发布日期: 2025-05-12
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