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基于数据挖掘的中药专利复方治疗功能性便秘的用药规律及作用机制分析

Analysis of the medication rules and mechanism of traditional Chinese medicine patent compound in the treatment of functional constipation based on data mining

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【作者】 郭玲珑; 刘磊;

【Author】 GUO Linglong;LIU Lei;Shapuwei Community Health Service Center, Shenzhen Songgang People’s Hospital;Department of Infectious Diseases, Shenzhen Hospital of Traditional Chinese Medicine;

【通讯作者】 刘磊;

【机构】 深圳市松岗人民医院沙浦围社区健康服务中心; 深圳市中医院感染科;

【摘要】 目的 基于数据挖掘探讨中药治疗功能性便秘(FC)的用药规律,以期为FC的中药配伍提供思路。方法 收集中药专利数据库中治疗FC的中药复方,建立Excel数据库并规范专业用语,运用关联规则、系统聚类、因子分析等数据挖掘方法分析用药规律。结果 高频中药包括当归、甘草、火麻仁等,主要归经于肝、肺、胃、脾经,性味以甘、苦为主。核心药物为当归、黄芪、火麻仁、肉苁蓉,其活性成分与FC相关靶点交集后,发现35个共有靶点。通路富集分析表明,这些核心药物通过调节炎症反应、细胞增殖和凋亡等生物学过程发挥作用;“中药-成分-靶点”网络图显示,度值≥10的靶点包括CASP7、NR3C2、MAPKI4、KCNK2、ESR1和CACNAIS。结论 基于数据挖掘和网络药理学可有效筛选出中药专利复方治疗FC的有效活性成分及作用通路,核心中药可能通过流体剪切应力与动脉粥样硬化、TNF信号通路调节肠道菌群及减少细胞炎症而起到通便的作用。

【Abstract】 Objective To explore the medication rules of traditional Chinese medicine in the treatment of functional constipation(FC) based on data mining, in order to provide ideas for the compatibility of traditional Chinese medicine in FC.Methods The traditional Chinese medicine compounds for FC were collected from the traditional Chinese medicine patent database, Excel database was established and professional terms were standardized. Data mining methods such as association rules, systematic clustering and factor analysis were used to analyze the medication rules. Results High-frequency Chinese herbs included Angelica sinensis, Licorice, and Cannabis sativa, which mainly belonged to the liver, lung, stomach,and spleen meridians, with sweet and bitter properties and tastes. The core drugs were Angelica sinensis, Astragalus membranaceus, Cannabis sativa and Cistanche deserticola. After the intersection of their active components and FC related targets, 35 common targets were found. Pathway enrichment analysis showed that these core drugs played a role by regulating biological processes such as inflammatory response, cell proliferation and apoptosis. According to the "traditional Chinese medicine-components-targets" network graph, the targets with degree value ≥10 were CASP7, NR3C2, MAPKI4, KCNK2,ESR1 and CACNAIS. The common drugs used in the treatment of FC included the main drug pair obtained based on association rule analysis, and a core combination of drugs and a new prescription were extracted. Conclusion Based on data mining and network pharmacology can effectively screen out the effective active ingredients and pathways of action of Chinese medicine patent compound for FC, the core Chinese medicine may play a laxative role by fluid shear stress and atherosclerosis, TNF signaling pathway regulating intestinal flora and reducing cellular inflammation.

  • 【文献出处】 中国当代医药 ,China Modern Medicine , 编辑部邮箱 ,2025年23期
  • 【分类号】R256.35
  • 【下载频次】33
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