Cao Junfeng, Li Lianglei, Xiong Li, Wang Chaochao, Chen Yijun, Zhang Xiao
Clinical Laboratory Medicine, Chengdu Medical College, Chengdu, China.
Center for Experimental Technology of Preclinical Medicine, Chengdu Medical College, No.783 Xindu Road, Xindu District, Chengdu, Sichuan 610500, China.
Phytomed Plus. 2022 May;2(2):100252. doi: 10.1016/j.phyplu.2022.100252. Epub 2022 Mar 4.
Pulmonary fibrosis caused by COVID-19 pneumonia is a serious complication of COVID-19 infection, there is a lack of effective treatment methods clinically. This article explored the mechanism of action of berberine in the treatment of COVID-19 (Corona Virus Disease 2019, COVID-19) pneumonia pulmonary fibrosis with the help of the network pharmacology and molecular docking. We predicted the role of berberine protein targets with the Pharmmapper database and the 3D structure of berberine in the Pubchem database. And GeneCards database was used in order to search disease target genes and screen common target genes. Then we used STRING web to construct PPI interaction network of common target protein. The common target genes were analyzed by GO and KEGG by DAVID database. The disease-core target gene-drug network was established and molecular docking was used for prediction. We also analyzed the binding free energy and simulates molecular dynamics of complexes. Berberine had 250 gene targets, COVID-19 pneumonia pulmonary fibrosis had 191 gene targets, the intersection of which was 23 in common gene targets. Molecular docking showed that berberine was associated with CCl2, IL-6, STAT3 and TNF-α. GO and KEGG analysis reveals that berberine mainly plays a vital role by the signaling pathways of influenza, inflammation and immune response. Berberine acts on TNF-α, STAT3, IL-6, CCL2 and other targets to inhibit inflammation and the activation of fibrocytes to achieve the purpose of treating COVID-19 pneumonia pulmonary fibrosis.
新型冠状病毒肺炎所致肺纤维化是新型冠状病毒感染的严重并发症,临床上缺乏有效的治疗方法。本文借助网络药理学和分子对接技术,探讨了小檗碱治疗新型冠状病毒肺炎肺纤维化的作用机制。我们利用Pharmmapper数据库预测小檗碱的蛋白靶点作用,并在Pubchem数据库中获取小檗碱的三维结构。使用GeneCards数据库搜索疾病靶点基因并筛选共同靶点基因。然后利用STRING网站构建共同靶点蛋白的蛋白质-蛋白质相互作用网络。通过DAVID数据库对共同靶点基因进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析。建立疾病-核心靶点基因-药物网络并进行分子对接预测。我们还分析了结合自由能并模拟复合物的分子动力学。小檗碱有250个基因靶点,新型冠状病毒肺炎肺纤维化有191个基因靶点,二者共同的基因靶点有23个。分子对接显示小檗碱与趋化因子配体2(CCl2)、白细胞介素-6(IL-6)、信号转导和转录激活因子3(STAT3)以及肿瘤坏死因子-α(TNF-α)相关。GO和KEGG分析表明,小檗碱主要通过流感、炎症和免疫反应信号通路发挥重要作用。小檗碱作用于TNF-α、STAT3、IL-6、CCL2等靶点,抑制炎症和纤维细胞的激活,以达到治疗新型冠状病毒肺炎肺纤维化的目的。