目的 应用数据挖掘技术和网络药理学方法分析国医大师治疗藏医“青乃丹吾”病的用药规律，预测潜在作用靶点。方法 收集和整理国医大师尼玛治疗“青乃丹吾”病的医案处方。运用SPSS Modeler 18.0和TBtools v0.66837软件进行藏药频数、关联规则、层次聚类等分析，利用BATMAN-TCM和R语言软件等预测高频药物治疗乙型肝炎的潜在靶点。结果 国医大师尼玛治疗“青乃丹吾”病的104首方剂中，使用频数最高的4首方剂依次是二十五味马宝丸（282次）、七味红花殊胜散（235次）、松石胶囊（233次）和甘露月晶丸（214次）。频数最高的4种藏药材依次是诃子（63次）、川木香（53次）、红花（50次）和豆蔻（38次）。关联规则分析显示置信度最高的藏药方剂组合为二十五味马宝丸-十三味红花丸→松石胶囊，药材组合为余甘子-毛诃子→诃子。择时用药中以二十五味马宝丸（清晨），七味红花殊胜丸（早上），十八味红花散（中午）和松石胶囊（晚上）为常用的时序方剂组合。方剂分类结果中清热解毒药和温胃消食药的使用频率最高。频数 ≧ 12的方剂药性以钝、凉、重、稀、糙为主，主治赤隆病。通过网络药理学预测到度值 ≥ 25的关键靶点，富集到13个GO功能和20条KEGG通路。结论 国医大师尼玛治疗“青乃丹吾”病以清热解毒和温胃消食药为主要的治疗原则，具有明显的择时用药规律，AKT1和TNF可能为其治疗“青乃丹吾”的潜在靶点。

Objective To analyze the medication rules of traditional Chinese medicine (TCM) master in treating the “QingNai DanWu” disease in Tibetan medicine and predict potential targets based on data mining and network pharmacology method.Methods The prescriptions that TCM master Nyima used in treating “QingNai DanWu” disease were collected. SPSS Modeler 18.0 and TBtools v0.66837 were used to analyze the medicinal frequency, association rules, hierarchical clustering, etc. BATMAN-TCM and R software were used to predict potential targets for high-frequency drugs for treating hepatitis B.Results Of the 104 formulas for the treatment of “QingNai DanWu” disease by TCM master Nyima, the 4 most frequently prescribed formulas were Ershiwuwei Mabao Pill and Qiwei Honghua Shusheng Powder, Songshi Capsule and Ganlu Yuejing Pill. The 4 most frequently used Tibetan medicinals were Fructus Chebulae, Radix Vladimiriae, Flos Carthami, and Fructus Ammomi Rotundus. Analysis of association rules showed that the combination of Tibetan medicine formulas with the highest confidence was Ershiwuwei Mabao Pill, Shisanwei Honghua Pills→Songshi Capsule, and the combination of drugs was Phyllanthus emblica, Fructus Terminalia billericae→Fructus Chebulae. Among the formulas used according to time, Ershiwuwei Mabao Pill (early morning), Qiwei Honghua Shusheng Pill (morning), Shibawei Honghua Powder (noon), and Songshi Capsule (evening) were the commonly used sequential combination. The formula for heat-clearing and toxins resolving and the formula for stomach-warming and digestion-promoting were most frequently used. The properties of formulas with a frequency of ≧ 12 were mainly blunt, cold, heavy, thin, and rough, which were mainly for the treatment of “Chi-Long” disease. Through network pharmacology method, key targets with a degree of ≥ 25 were predicted, enriched to 13 GO functions and 20 KEGG pathways.Conclusion TCM master Nyima treats “QingNai DanWu” disease with heat-clearing, toxins-resolving, stomach-warming, and digestion-promoting as the main principles of treatment. He also follows a clear timing rule of prescription. AKT1 and TNF may be the potential targets for Tibetan formulas in the treatment of “QingNai DanWu” disease.

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