| 引用本文: | 吴红梅,黄旭龙,郝俊杰,孔娟,徐峰,王祥培.基于网络药理学探讨玫瑰花抗炎的作用机制[J].中国现代应用药学,2020,37(13):1563-1569. |
| WU Hongmei,HUANG Xulong,HAO Junjie,KONG Juan,XU Feng,WANG Xiangpei.Study on the Anti-inflammatory Mechanism of Rose Based on Network Pharmacology[J].Chin J Mod Appl Pharm(中国现代应用药学),2020,37(13):1563-1569. |
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| 摘要: |
| 目的 基于网络药理学预测玫瑰花抗炎的活性成分和作用靶点。方法 通过中医药综合数据库（TCMID）和中药系统药理学数据库（TCMSP）检索玫瑰花的所有化学成分，并筛选玫瑰花的活性化学成分；然后通过TCMSP数据库和BATMAN-TCM数据库，查找活性化合物的作用靶点；使用Cytoscape 3.6.1软件构建“活性成分-靶点-疾病”复杂网络关系图；运用生物学信息注释数据库（DAVID）进行基因本体（GO）功能富集分析和KEGG通路富集分析研究其抗炎的作用机制。结果 共检索出121个化合物，其中7个化合物作为活性化合物；共检索出197个作用靶点；通过网络拓扑特征评价筛选出45个潜在作用靶点，利用DAVID数据库，筛选出66个生物过程和18条信号通路参与玫瑰花抗炎的作用。而与玫瑰花抗炎最为密切的信号通路包括NF-κB、TNF、MAPK等，同时其主要涉及的生物过程包括I-κB激酶/NF-κB信号通路的正调控、NF-κB转录因子活性的正调控、依赖TRIF的Toll样受体信号通路等。结论 本研究初步揭示了玫瑰花抗炎的潜在靶点、涉及的生物过程及信号通路，发现其具有多成分、多靶点、多通路的特点，为进一步的研究奠定了基础。 |
| 关键词: 玫瑰花 活性成分 抗炎 网络药理学 作用机制 |
| DOI：10.13748/j.cnki.issn1007-7693.2020.13.005 |
| 分类号:R285.5 |
| 基金项目:2017年贵州省国内一流学科建设项目—中药学（子项目）（GNYL[2017]008） |
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| Study on the Anti-inflammatory Mechanism of Rose Based on Network Pharmacology |
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WU Hongmei, HUANG Xulong, HAO Junjie, KONG Juan, XU Feng, WANG Xiangpei
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School of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China
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| Abstract: |
| OBJECTIVE To predict the active components and action targets of rose by network pharmacology. METHODS All chemical constituents of roses were searched by TCMID and TCMSP, and screened the active chemical constituents of roses. Then through TCMSP database and BATMAN-TCM database, the action target of active compound was found, and the complex network diagram of "active component-target-disease" was constructed by Cytoscape 3.6.1 software. Biological information annotation database(DAVID) were used to analyze the Gene ontology(GO) functional enrichment analysis and KEGG pathway enrichment analysis. RESULTS A total of 121 compounds were retrieved, of which 7 compounds were used as active compounds, 197 action targets were retrieved, and 45 potential action targets were screened out through network topology evaluation. DAVID database was used to screen out 66 biological processes and 18 signal pathways involved in the anti-inflammatory effects of roses. The signaling pathways most closely relate to rose anti-inflammatory included NF-κB, TNF, MAPK and so on. At the same time, the main biological processes involved included the positive regulation of I-κB kinase/NF-κB signaling pathway, the positive regulation of NF-κB transcription factor activity and Toll-like receptor signaling pathway dependent on TRIF, et al. CONCLUSION This study reveals the potential targets, biological processes and signaling pathways of anti-inflammatory effects of roses. It is found that it has the characteristics of multiple components, multiple targets and multiple pathways, which lay the foundation for further experimental research. |
| Key words: rose active components anti-inflammatory network pharmacology mechanism |
