基于数据挖掘的四妙丸类方临床应用配伍规律分析

Analysis of clinical compatibility rules of modified Simiao Pill based on data mining

目的运用数据挖掘技术探明四妙丸类方临床应用配伍规律。方法以中国知网、万方和维普为检索数据库,分别以"四妙丸""四妙汤""四妙方"为主题、篇关摘和关键词进行检索四妙丸类方的临床应用相关文献,运用Excel2019、IBM SPSS Modeler 18.0和IBM SPSS 25.0软件进行频数分析和聚类分析,借助Cytoscape 3.8.2软件构建加味中药中最高频药物的成分-交集靶点-通路图。结果共筛选到220篇文献,包含44种病名、72种主治症状和30种配伍比例;245首方剂涉及240味加味中药,共1783频次,以土茯苓为首的高频药物33味,加味中药按功效分类可分为18种,药味共373频次,药性共239频次,归经共590频次;关联规则分析得到14组关联规则,高频中药聚类分析得到7个聚类方。共收集四妙丸活性成分42个,土茯苓活性成分15个,筛选四妙丸-急性痛风性关节炎交集靶点31个,通路29条,四妙丸-土茯苓-急性痛风性关节炎交集靶点26个,通路38条。结论频数分析和聚类分析等数据挖掘技术有助于对四妙丸类方的临床应用配伍规律进行总结,为指导四妙丸类方临床合理应用提供依据,并为研发相关创新药物提供数据参考。

Objective To analyze of compatibility rules in clinical application of modified Simiao Pill based on data mining. Methods In the databases of CNKI, Wanfang, VIP, literatures were searched from January 2010 to September 2021 with “Simiao Pill”, “Simiao Decoction” and “Simiao Recipe” as the topic, article summary and key words respectively. Excel 2019, IBM SPSS Modeler 18.0 and IBM SPSS 25.0 software were used for frequency analysis and cluster analysis. With the help of Cytoscape 3.8.2 software, the ingredients-intersection target-path diagram of the most high-frequency drugs in additional integrant was constructed. Results A total of 220 literatures were screened, involving 44 main diseases name, 72 main symptoms, and 30 compatibilities. A total of 245 formulas included 240 added Chinese medicines, with a total using frequency of 1783. A total of 33 high-frequency drugs, including the top frequency of Smilacis Glabrae Rhizoma, can be divided into 18 types according to their TCM functions, the frequency of medicine flavors was 373 times, the frequency of medicine properties was 239 times, and the frequency of meridians was 590 times. Association rule analysis was carried out to obtain 14 groups of association rules. High-frequency drug cluster analysis was performed for getting seven clustering prescriptions. A total of 42 active ingredients of Simiao Pill and 15 active ingredients of Smilacis Glabrae Rhizoma were screened out. A total of 31 common targets, 29 pathways between Simiao Pill and acute gouty arthritis, 26 common targets, 38 pathways between Simiao Pill-Smilacis Glabrae Rhizoma-acute gouty arthritis were screened out respectively. Conclusion Data mining including frequency analysis and cluster analysis are helpful for summarizing the compatibility rules in clinical application of modified Simiao Pill, and play an important role in guiding the clinically rational usage of the formula, providing reference data for research and development of the related innovative drugs.