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基于网络药理学的紫斑牡丹花叶抗菌活性及作用机制探究

[Exploration on antibacterial activity and mechanism of flowers and leaves from Paeonia rockii based on network pharmacology].

作者信息

Bao Ya-Ting, Wang Yue, Ren Xiao-Dong, Huang Lin-Fang, Zeng Rui

机构信息

College of Pharmacy, Southwest Minzu University, Chengdu 610041, China.

College of Chemistry, University of California-Riverside, California 92521, United States.

出版信息

Zhongguo Zhong Yao Za Zhi. 2018 Feb;43(4):779-785. doi: 10.19540/j.cnki.cjcmm.2018.0020.

Abstract

This paper aimed to investigate the antibacterial activity of flowers and leaves from Paeonia rockii, screen antibacterial compounds and predict targets of antibacterial to explore its multi-component, multi-target antibacterial mechanism. In this study, minimal inhibitory concentration(MIC) of seven strains of Staphylococcus aureus, S. epidermidis, Bacillus subtilis, B. cereus, Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa were determined by microdilution method. Uniprot databases was used to find the antibacterial targets, and RCSB was used to identify targets associated with antimicrobial activity as docked receptor proteins. The candidate active ingredients from flowers and leaves of P. rockii were identified by database such as PubChem. The ligands were constructed by ChemDraw, Avogadro and Discovery Studio Visualizer. QuickVina 2.0 software was used to molecular docking. Besides, the Cytoscape 3.5.1 software was used to construct activity compounds of flowers and leaves from P. rockii ingredients-targets network, and Uniprot software was used to analyze gene ontology and KEGG pathway. antibacterial experiments found antibacterial effect of the flowers and leaves from P. rockii, especially methanol extraction of flowers has the strongest antibacterial effect. The network pharmacology indicated that total 29 activity ingredients and their 18 targets were screened in flowers and leaves from P. rockii. Comparison of the active ingredients and the number of antimicrobial target networks, it is predicted that the antibacterial components are mainly flavonoids and phenolic acids and main mechanism of antibacterial is to inhibit the synthesis of bacterial proteins. In this study, potential antibacterial activity of flowers and leaves from P. rockii has be found by antibacterial experiments and network pharmacology screening. And this study provides new clues for further basic study on the antibacterial agents of flowers and leaves from P. rockii.

摘要

本文旨在研究紫斑牡丹花朵和叶片的抗菌活性,筛选抗菌化合物并预测抗菌靶点,以探索其多成分、多靶点的抗菌机制。本研究采用微量稀释法测定了金黄色葡萄球菌、表皮葡萄球菌、枯草芽孢杆菌、蜡样芽孢杆菌、大肠杆菌、肺炎克雷伯菌和铜绿假单胞菌7株菌的最低抑菌浓度(MIC)。利用Uniprot数据库查找抗菌靶点,并使用RCSB将与抗菌活性相关的靶点鉴定为对接受体蛋白。通过PubChem等数据库鉴定紫斑牡丹花朵和叶片中的候选活性成分。利用ChemDraw、Avogadro和Discovery Studio Visualizer构建配体。使用QuickVina 2.0软件进行分子对接。此外,利用Cytoscape 3.5.1软件构建紫斑牡丹花朵和叶片活性成分-靶点网络,并用Uniprot软件分析基因本体和KEGG通路。抗菌实验发现紫斑牡丹花朵和叶片具有抗菌作用,尤其是花朵的甲醇提取物抗菌效果最强。网络药理学研究表明,从紫斑牡丹花朵和叶片中共筛选出29种活性成分及其18个靶点。通过比较活性成分和抗菌靶点网络数量,预测其抗菌成分主要为黄酮类和酚酸类,抗菌主要机制是抑制细菌蛋白质合成。本研究通过抗菌实验和网络药理学筛选发现了紫斑牡丹花朵和叶片潜在的抗菌活性,为进一步开展紫斑牡丹花朵和叶片抗菌剂的基础研究提供了新线索。

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