主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

北京中医药大学学报 ›› 2019, Vol. 42 ›› Issue (2): 143-148.doi: 10.3969/j.issn.1006-2157.2019.02.010

• 中药药理 • 上一篇    下一篇

基于网络药理学探究附子温阳作用机制

张序晴1,2,李赛1,彭兰1,王志琪1,3#,曾嵘1,任卫琼4,邓凯文4   

  1. 1 湖南中医药大学 湖南 410208;
    2 中药成药性与制剂制备湖南省重点实验室;3 湖南省中药饮片标准化及功能工程技术中心;
    4 湖南中医药大学附属第一医院
  • 出版日期:2019-02-28 发布日期:2019-02-28
  • 通讯作者: 王志琪,男,博士,副教授,主要研究方向:中药网络药理学、中药药代动力学,E-mail:wzqx2004@126.com
  • 作者简介:张序晴,女,在读硕士生
  • 基金资助:
    国家自然科学基金项目(No.81503492,81473617),湖南省自然科学基金项目(No.2015JJ6079),湖南省教育厅教学研究项目(No.湘教通[2016]400-321)

Exploring yang-warming mechanism of aconite based on network pharmacology

Zhang Xuqing1,2, Li Sai1, Peng Lan1, Wang Zhiqi1,3#, Zeng Rong1, Ren Weiqiong4, Deng Kaiwen4   

  1. 1 Hunan University of Chinese Medicine, Hunan 410208, China;
    2 Hunan Key Laboratory of Drugability and Preparation Modification for Traditional Chinese Medicine, Hunan 410208, China;
    3 Hunan Provincial Traditional Chinese Medicine Pieces Standardization and Functional Engineering Technology Center, Hunan 410208, China;
    4 The First Hospital of Hunan University of Chinese Medicine, Hunan 410000, China
  • Online:2019-02-28 Published:2019-02-28
  • Contact: A/Wang Zhiqi, Ph.D.. School of Pharmacy, Hunan University of Chinese Medicine. E-mail: wzqx2004@126.com

摘要: 目的 应用网络药理方法,探讨附子温阳作用的可能机制。方法 以心力衰竭和类风湿性关节炎为疾病模型,应用中药系统药理数据库和分析平台,根据口服生物利用度(OB)和药物相似度(DL)来筛选附子的活性成分,并预测出相应靶标;经人类表型术语集(HPO)数据库检索心力衰竭和类风湿性关节炎的疾病靶标;然后在蛋白质相互作用数据库(STRING)分别构建“附子成分潜在靶标心力衰竭”和“附子成分潜在靶标类风湿性关节炎”网络,通过Cytoscape软件将上述网络可视化,再根据节点介度、紧密度和连接度分别得到上述两个疾病网络的关键节点,借助GATHER数据库平台对关键节点进行京都基因和基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)的基因功能富集分析。结果 “附子成分潜在靶标心力衰竭”网络包含146个节点,关键节点53个;“附子成分潜在靶标类风湿性关节炎”网络包含26个节点,关键节点10个;附子与心力衰竭相关的KEGG通路2条,与类风湿性关节炎相关的KEGG通路3条;两种疾病的共同通路为前列腺素(Prostaglandins,PGs)代谢通路和白三烯(Leukotrienes,LTs)代谢通路。结论 经网络药理学测算,附子温阳的作用机制可能与其影响机体的PGs、LTs代谢通路有关。

关键词: 附子, 温阳, 网络药理学, 心力衰竭, 类风湿性关节炎, 前列腺素:白三烯

Abstract: Objective To explore the possible mechanism of aconite for the warming yang effect by using network pharmacology method. Methods With heart failure and rheumatoid arthritis as disease models, the TCMSP database was used to select the aconite active ingredients and the corresponding targets by bioavailability (OB) and drug similarity (DL). At the same time, heart failure and rheumatoid arthritis diseases targets were searched by using the HPO (The Human Phenotype Ontology) database. And then “aconite component-potential target-heart failure” and “aconite component-potential target-rheumatoid arthritis” networks were constructed through STRING database. The above networks were visualized by using Cytoscape software. According to the parameters of the node degree, the closeness and link degree of node, the key nodes of the two disease networks were obtained. Finally, the key nodes were analyzed by using the GATHER database platform for KEGG (Kyoto Encyclopedia of Genes and Genomes) gene function enrichment analysis. Results The network of “aconite component-potential target-heart failure” included 146 nodes and 53 key nodes. The network of“aconite component-potential target-rheumatoid arthritis” contained 26 nodes and 10 key nodes. Two KEGG pathways were related to heart failure and three KEGG pathways were related to rheumatoid arthritis. The prostaglandin (PGs) and leukotriene (PGs) metabolic pathways were the same pathways of two diseases. Conclusion According to the results of network pharmacology research, the yang-warming mechanism of aconite may be related to the PGs and LTs metabolic pathways.

Key words: aconite, warming yang, network pharmacology, heart failure, rheumatoid arthritis, prostaglandin, leukotriene

中图分类号: 

  • R285.5