目的: 基于网络药理学探讨红花的活性药效物质基础，并分析其多种药理作用机制。方法: 在中药 系统药理数据库和分析平台( TCMSP) 中搜索红花的化学成分，结合口服生物利用度及“类药五原则”筛选出红 花的潜在活性成分，通过在线靶点预测平台和 CTD 数据库收集靶点与疾病相关信息，应用 DAVID 生物信息学资 源数据库富集关键靶点相关的主要生物通路，采用 Cytoscape 软件，构建红花“成分－靶点”、“靶点－通路”、“成分 －疾病”等互作网络图，进而分析红花的多种药理作用机制。结果: 共获得黄酮类、生物碱类、木脂素类等化合物 475 个，经筛选后最终确定 25 个主要活性成分; 作用于靶点 318 个，其关键靶点有 TP53、AKT 1、ESＲ 1 等，涉及 显著性通路 59 条，其中与肿瘤、神经系统疾病及心血管等疾病相关程度较高。结论: 通过网络药理学成功预测 红花的活性成分及作用机制，为其深层次的开发与利用奠定基础。

Objective: To investigate the active pharmacodynamic basis of Safflower and analyze its multi － dimensional pharmacological mechanism based on network pharmacology． Methods: The chemical components of safflower were searched in the TCMSP database，combining the oral bioavail- ability and ’five principles’ as the screening conditions to obtain active compounds．The potential targets and diseases information were collected through the online target prediction platform and CTD online a- nalysis platform．The key biological pathways associated with key targets were enriched by using DAVID database．Constructing the component－target，target－pathway and component－disease network by Cyto- scape software to analyze the various pharmacological mechanisms of safflor． Ｒesults: A total of 475 compounds were obtained by systematically collecting safflower chemical constituents，such as fla- vonoids，alkaloids，and lignans． 25 components were finally determined after screening; These compounds acted on 318 targets，the key targets were TP53，AKT 1，and ESＲ 1，etc．Involving 59 signif- icant pathways are highly related to the diseases such as tumors，nervous system diseases and cardiovas- cular diseases．Conclusion: The active components and mechanism of Safflower were successfully pre- dicted by network pharmacology，which established the foundation for its deep development and utilization．

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收稿日期: 2018－11－27; 修回日期: 2019－03－03 基金项目: 内蒙古自然科学基金( 2015MS0823) ，内蒙古自治区草原英才滚动支持计划( 内组通字［2017］19 号) ，内蒙古 自治区研究生教育创新计划( S20171013205) 作者简介: 韩盟帝( 1992－) ，女，内蒙古医科大学 2016 级在读硕士研究生。 通讯作者: 薛培凤，博士，教授，硕士研究生导师，E－mail: xpfdc@ vip．sina．com 内蒙古医科大学药学院，010110