Zheng Wen-Jiang, Yan Qian, Ni Yong-Shi, Zhan Shao-Feng, Yang Liu-Liu, Zhuang Hong-Fa, Liu Xiao-Hong, Jiang Yong
The First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou, China.
The Second Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou, China.
BioData Min. 2020 Oct 16;13:17. doi: 10.1186/s13040-020-00227-6. eCollection 2020.
Chinese medicine Xuebijing (XBJ) has proven to be effective in the treatment of mild coronavirus disease 2019 (COVID-19) cases. But the bioactive compounds and potential mechanisms of XBJ for COVID-19 prevention and treatment are unclear. This study aimed to examine the potential effector mechanisms of XBJ on COVID-19 based on network pharmacology.
We searched Chinese and international papers to obtain the active ingredients of XBJ. Then, we compiled COVID-19 disease targets from the GeneCards gene database and via literature searches. Next, we used the SwissTargetPrediction database to predict XBJ's effector targets and map them to the abovementioned COVID-19 disease targets in order to obtain potential therapeutic targets of XBJ. Cytoscape software version 3.7.0 was used to construct a "XBJ active-compound-potential-effector target" network and protein-protein interaction (PPI) network, and then to carry out network topology analysis of potential targets. We used the ClueGO and CluePedia plugins in Cytoscape to conduct gene ontology (GO) biological process (BP) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis of XBJ's effector targets. We used AutoDock vina and PyMOL software for molecular docking.
We obtained 144 potential COVID-19 effector targets of XBJ. Fourteen of these targets-glyceraldehyde 3-phosphate dehydrogenase (), albumin (), tumor necrosis factor (), epidermal growth factor receptor (), mitogen-activated protein kinase 1 (), Caspase-3 (), signal transducer and activator of transcription 3 (), , prostaglandin-endoperoxide synthase 2 (), , interleukin-2 (), estrogen receptor 1 (), and had degree values > 40 and therefore could be considered key targets. They participated in extracellular signal-regulated kinase 1 and 2 (, ) cascade, the T-cell receptor signaling pathway, activation of activity, cellular response to lipopolysaccharide, and other inflammation- and immune-related BPs. XBJ exerted its therapeutic effects through the renin-angiotensin system (RAS), nuclear factor κ-light-chain-enhancer of activated B cells (NF-κB), , phosphatidylinositol-4, 5-bisphosphate 3-kinase ()-protein kinase B ()-vascular endothelial growth factor (VEGF), toll-like receptor (TLR), TNF, and inflammatory-mediator regulation of transient receptor potential (TRP) signaling pathways to ultimately construct a "drug-ingredient-target-pathway" effector network. The molecular docking results showed that the core 18 effective ingredients had a docking score of less than - 4.0 with those top 10 targets.
The active ingredients of XBJ regulated different genes, acted on different pathways, and synergistically produced anti-inflammatory and immune-regulatory effects, which fully demonstrated the synergistic effects of different components on multiple targets and pathways. Our study demonstrated that key ingredients and their targets have potential binding activity, the existing studies on the pharmacological mechanisms of XBJ in the treatment of sepsis and severe pneumonia, could explain the effector mechanism of XBJ in COVID-19 treatment, and those provided a preliminary examination of the potential effector mechanism in this disease.
中药血必净(XBJ)已被证明对治疗轻型2019冠状病毒病(COVID-19)有效。但XBJ用于COVID-19防治的生物活性成分及潜在机制尚不清楚。本研究旨在基于网络药理学探讨XBJ对COVID-19的潜在作用机制。
检索国内外文献获取XBJ的活性成分。然后,从GeneCards基因数据库并通过文献检索整理出COVID-19疾病靶点。接下来,利用瑞士靶点预测数据库预测XBJ的效应靶点,并将其映射到上述COVID-19疾病靶点上,以获得XBJ的潜在治疗靶点。使用Cytoscape 3.7.0软件构建“XBJ活性成分-潜在效应靶点”网络和蛋白质-蛋白质相互作用(PPI)网络,然后对潜在靶点进行网络拓扑分析。利用Cytoscape中的ClueGO和CluePedia插件对XBJ的效应靶点进行基因本体(GO)生物学过程(BP)分析和京都基因与基因组百科全书(KEGG)信号通路富集分析。使用AutoDock vina和PyMOL软件进行分子对接。
我们获得了144个XBJ潜在的COVID-19效应靶点。其中14个靶点——甘油醛-3-磷酸脱氢酶()、白蛋白()、肿瘤坏死因子()、表皮生长因子受体()丝裂原活化蛋白激酶1()、半胱天冬酶-3()、信号转导和转录激活因子3()、、前列腺素内过氧化物合酶2()、、白细胞介素-2()、雌激素受体1()和的度值>40,因此可被视为关键靶点。它们参与细胞外信号调节激酶1和2(,)级联反应、T细胞受体信号通路、活性的激活、细胞对脂多糖的反应以及其他炎症和免疫相关的生物学过程。XBJ通过肾素-血管紧张素系统(RAS)、活化B细胞核因子κ轻链增强子(NF-κB)、、磷脂酰肌醇-4,5-二磷酸3-激酶()-蛋白激酶B()-血管内皮生长因子(VEGF)、Toll样受体(TLR)、肿瘤坏死因子和炎症介质对瞬时受体电位(TRP)信号通路的调节发挥治疗作用,最终构建了一个“药物-成分-靶点-通路”效应网络。分子对接结果显示,18种核心有效成分与前10个靶点的对接分数均小于-4.0。
XBJ的活性成分调节不同基因,并作用于不同通路,协同产生抗炎和免疫调节作用,充分体现了不同成分对多个靶点和通路的协同作用。我们的研究表明关键成分及其靶点具有潜在的结合活性,现有关于XBJ治疗脓毒症和重症肺炎药理机制的研究,可解释XBJ在COVID-19治疗中的效应机制,并为该疾病的潜在效应机制提供了初步研究。