基于网络药理学探讨桂枝汤解热作用机制及药效物质基础

吴晓霞; 张立石; 高焕; 宋剑南; 柏冬

doi:10.13422/j.cnki.syfjx.20181536

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基于网络药理学探讨桂枝汤解热作用机制及药效物质基础

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- 基于网络药理学探讨桂枝汤解热作用机制及药效物质基础
- Antipyretic Mechanism of Guizhitang and Its Effective Components Based on Network Pharmacology
- 中国实验方剂学杂志 2018年24卷第15期页码：190-197
- 作者机构：
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目（81403282）;北京市自然科学基金项目（7133251）
- DOI：10.13422/j.cnki.syfjx.20181536
  中图分类号： R285
- 纸质出版日期：2018
- 稿件说明：
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吴晓霞, 张立石, 高焕, 等. 基于网络药理学探讨桂枝汤解热作用机制及药效物质基础[J]. 中国实验方剂学杂志, 2018,24(15):190-197.

WU Xiao-xia, ZHANG Li-shi, GAO Huan, et al. Antipyretic Mechanism of Guizhitang and Its Effective Components Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(15): 190-197.
吴晓霞, 张立石, 高焕, 等. 基于网络药理学探讨桂枝汤解热作用机制及药效物质基础[J]. 中国实验方剂学杂志, 2018,24(15):190-197. DOI： 10.13422/j.cnki.syfjx.20181536.

WU Xiao-xia, ZHANG Li-shi, GAO Huan, et al. Antipyretic Mechanism of Guizhitang and Its Effective Components Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(15): 190-197. DOI： 10.13422/j.cnki.syfjx.20181536.

摘要

目的：基于网络药理学探讨桂枝汤解热作用的机制及药效物质基础；方法：利用ChemDraw绘制预测桂枝汤中化合物的结构，使用Swiss Target Prediction数据库搜索以上成分对应的靶点。使用Ingenuity Pathway Analysis（IPA）软件，寻找发热相关的基因。使用IPA软件分析桂枝汤中成分、发热相应靶点共同的通路。利用Cytoscape建立成分-靶点-通路网络，寻找主要药效成分。结果：建立了桂枝汤中主要成分与其靶点的网络图。使用IPA软件发现桂枝汤发热作用与以下6个通路相关：G蛋白偶联的受体信号，环磷腺苷（cAMP）介导的信号传导，Gαs信号，Gαi信号，腺苷酸活化水蛋白激酶（AMPK）信号，褪黑激素降解通路。桂枝汤中芍药苷代谢物Ⅰ，环磷酸腺苷与解热作用相关。结论：基于网络药理学探讨了桂枝汤解热作用的相关通路，预测了桂枝汤入血成分中芍药苷代谢物Ⅰ，环磷酸腺苷可能与解热作用相关。研究结果主要基于化学预测，还需要进一步实验验证。

Abstract

Objective: To explore the antipyretic mechanism of Guizhitang and its effective components based on network pharmacology. Method: The structure of components in Guizhitang was predicted by ChemDraw Ultra 9.0.The targets of these components were searched by Swiss Target Prediction database. Ingenuity Pathway Analysis(IPA) software was used for seeking fever-related targets. The common pathways of components inGuizhitang and fever related targets wereanalyzed also by IPA software. The effective components were found through the Guizhitang components-target-pathway network built by Cytoscape software. Result: The Guizhitang components-target-pathway network was built. Theantipyretic effect of Guizhitang was found to be correlated with the following 6 pathways

namely G protein-coupled receptor signal

cyclic adenosine monophosphate(cAMP)-mediated signal transduction

Gαs signal

Gαi signal

adenosine 5'-monophosphate-activated protein kinase(AMPK) signal and melatonin degradation. Paeonimetabolin I and cAMP were identified as antipyretic related components in Guizhitang. Conclusion: Based on the network pharmacology

relevant pathway of theantipyretic effect of Guizhitang is discussed. Paeonimetabolin I and cAMP may be related to theantipyretic effect in the blood components of Guizhitang. However

the findings are mainly based on chemical prediction

which needs further experimental verification.

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