基于文本挖掘技术初步探讨雷公藤应用相关的生物学基础  

Exploring The Biological Basis of Tripterygium Wilfordii Treating Diseases by Text Mining Approach

作　　者：展俊平[1] 郑光[2] 孟庆良[1] 谷慧敏[1] 左瑞庭[1] 吕诚[3] 姜淼[3] ZHAN Jun-ping;ZHENG Guang;MENG Qing-liang;GU Hui-min;ZUO Rui-ting;LV Cheng;JIANG Miao(The second affiliated hospital of Henan University of TCM 450002, China;School of Information Science ＆Engineering Lanzhoa University,Lanzhou 730000, China;Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences 100700, China)

机构地区：[1]河南中医药大学第二附属医院,郑州450002 [2]兰州大学数学院,兰州730000 [3]中国中医科学院中医临床基础医学研究所,北京100700

出　　处：《中国中医基础医学杂志》2018年第4期556-559,共4页JOURNAL OF BASIC CHINESE MEDICINE

基　　金：国家自然科学基金面上项目(81473367)-基于矢量药理网络的中药寒热属性分类模型构建及药性混淆品种寒热属性厘清;河南省科技厅科技攻关项目(162102310447)-基于TCA循环及其关键酶测定研究督灸改善早期强直性脊柱炎患者关节活动度的生物学机制

摘　　要：目的:初步探索雷公藤应用相关的生物学基础。方法:在CBM数据库中收集雷公藤的相关文献数据,采用基于敏感关键词频数统计及切片的数据分层算法挖掘其应用的基本生物学基础,并通过一维频次解释及二维网络图进行展示。结果:雷公藤主要用于关节炎、类风湿、肾病、红斑狼疮以及银屑病等治疗,其作用靶标以T淋巴细胞、滑膜、血管、基因、细胞因子类等为核心,主要涉及CD4、CD8、肿瘤坏死因子-α、白介素类细胞因子为主,参与的通路有NF-κB、Akt、ERK、Fas/Fas L、TLR4、p38MAPK等。结论:利用文本数据挖掘技术初步呈现雷公藤应用的基本生物学基础,为中医基础研究提供有益参考,以便更好地指导服务于临床治疗。Background： Explore he biological basis of Tripterygium for the treatment of diseases by text mining approach. Methods： The related literature data of Tripterygium wilfordii was collected in the CBM database. The data stratification algorithm based on the frequency statistics of sensitive keywords was used to explore the basic biological basis of disease treatment. The results are shown infrequency explanation and 2-dimention networks. Results： Tripterygium wilfordii was mainly used for the treatment of arthritis,rheumatoid,nephropathy and psoriasis. The targets of the therapy were T lymphocyte,synovial membrane,blood vessel and gene. The main targets involved were CD4,CD8,TNFCytokines mainly involved in the pathway NF-κB,Akt,ERK,Fas/Fas L,TLR4 and so on. Conclusion： By using text mining technology,the biological basis of Tripterygium wilfordii is initially presented,which provides a useful reference for the basic research of TCM and better guidance for the clinical treatment.

关 键 词：文本挖掘 数据分层算法 雷公藤 生物学基础 

分 类 号：R961.1[医药卫生—药理学]