基于数据挖掘与药效筛选的中医药干预抗结核药物所致肝损伤核心方药研究

Study on Core Prescriptions and Drugs of TCM Against Antituberculosis Drug-Induced Liver Injury Based on Data Mining and Efficacy Screening

    摘要
  • 摘要:
      目的  基于数据挖掘与斑马鱼模型, 分析中医药干预抗结核药物所致肝损伤(ATDILI)的用药规律, 筛选核心方药。
      方法  收集相关文献, 运用中医传承辅助系统建立方剂数据库进行数据挖掘, 将核心方药在斑马鱼模型进行药效验证。
      结果  筛选方剂342首, 分析得到41味常用药物, 17种常用药对, 1组核心方。核心方药干预下的ATDILI模型, 斑马鱼幼鱼的畸形率、死亡率均显著下降(P < 0.05)，形态学改善，肝脏荧光面积显著上升、荧光光密度显著增强(P < 0.01)。
      结论  中医药干预ATDILI以补虚、清热、利湿为总原则, 注重肝脾同治。数据挖掘得到的核心方药, 在斑马鱼ATDILI模型上均显示出一定的保肝作用, 验证了数据挖掘技术的可靠与适用。研究将数据挖掘与药理实验验证相结合，为ATDILI的治疗提供参考。

     

    Abstract:
      OBJECTIVE  Based on data mining and zebrafish model, to analyze the medication rules of TCM on antituberculosis drug-induced liver injury (ATDILI), and screen the core prescriptions and drugs.
      METHODS  Literature was collected, prescriptions database was established by TCM inheritance system for data mining, and efficacy of core prescriptions and drugs were verified in zebrafish model.
      RESULTS  A total of 342 prescriptions were screened, and 41 common drugs, 17 common drug pairs, and one core prescription were obtained. In the ATDILI model, the malformation rate and mortality rate of juvenile zebrafish were significantly reduced(P < 0.05), the morphology was improved, and the fluorescence area and intensity of liver increased significantly under the core prescriptions and drugs(P < 0.01).
      CONCLUSION  TCM intervention in ATDILI is based on the general principle of tonifying deficiency, clearing heat and dampness, focusing on the simultaneous treatment of liver and spleen. The core prescriptions and drugs obtained from data mining showed liver protection effect in the ATDILI model of zebrafish, which verified the reliability and applicability of data mining technology. In this study, data mining and pharmacological experimental validation were combined to provide reference for the treatment of ATDILI.

     

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