应用网络药理学预测白芍抗血吸虫病及肝纤维化的作用机制

楚雄师范学院学报 ›› 2022, Vol. 37 ›› Issue (3): 59-64.

应用网络药理学预测白芍抗血吸虫病及肝纤维化的作用机制

杨玺^1,2, 李彬^1,2, 刘如爱^1,2, 王播勇^1,2, 杨娜^1,2, 马运敏^1,2, 肖朝江³, 姜北³, 熊伟^1,2,3,*

1.大理大学基础医学院,云南大理 671000;
2.云南省高校临床生物化学检验重点实验室,云南大理 671000;
3.云南省滇西抗病原植物资源筛选研究重点实验室,云南大理 671000

收稿日期:2021-11-10 发布日期:2022-06-30
通讯作者: *熊伟（1982–）,男,博士,大理大学基础医学院教授,研究方向为网络药理学。E-mail：xiongwei@dali.edu.cn,Tel. 18313024698
作者简介:杨玺（1998–）,女,大理大学基础医学院硕士研究生,研究方向为网络药理学及病理学。E-mail： huzhongyiyangxi@163.com
基金资助:
云南省滇西抗病原植物资源筛选研究重点实验室开放项目（No. APKL2102, No. APKL2103）; 大理大学应用开发研究基金项目（No. 201405）; 国家级大学生创新创业计划项目（No. 202110679011）

Application of Network Pharmacology to Predicting the Mechanism of Paeoniae Radix Alba against Schistosomiasis and Liver Fibrosis

Xi Yang^1,2, Bin Li^1,2, Ruai Liu^1,2, Boyong Wang^1,2, Na Yang^1,2, Yunmin Ma^1,2, Chaojiang Xiao³, Bei Jiang³, Wei Xiong^1,2,3,*

1. College of Basic Medical Sciences, Dali University, Dali, Yunnan 671000;
2. Key Laboratory of Clinical Biochemistry of Yunnan, Dali University, Dali, Yunnan 671000;
3. Yunnan Provincial Key Laboratory of Screening and Research on Anti-pathogenic Plant Resources from Western Yunnan, Dali, Yunnan 671000

Received:2021-11-10 Published:2022-06-30

摘要/Abstract

摘要： 运用网络药理学方法预测白芍抗血吸虫病及肝纤维化的作用机制。通过TCMSP数据库对白芍主要活性成分及靶点进行筛选,通过GeneCards数据库检索血吸虫病及肝纤维化相关靶点,利用Cytoscape 3.8.2软件构建药物-成分-靶点-疾病网络图,利用STRING数据库构建蛋白质相互作用网络,采用R语言对药物-疾病共同靶点进行GO和KEGG富集分析。筛选得到白芍中的活性成分有13个,白芍抗血吸虫病及肝纤维化的靶点有16个,PPI网络包含15个蛋白质,涉及JUN、PTGS2和CAT等。白芍抗血吸虫病及肝纤维化的通路主要有脂质和动脉粥样硬化,糖尿病并发症中的AGE-RAGE信号通路,肿瘤坏死因子信号通路和NF-kappa B信号通路等。初步预测白芍抗血吸虫病及肝纤维化的作用机制,为其深入研究提供新思路及理论依据。

关键词: 网络药理学, 白芍, 血吸虫病, 肝纤维化, 作用机制

Abstract: To predict the action mechanism of Paeoniae Radix Alba against schistosomiasis and liver fibrosis by means of network pharmacology, active components of Paeoniae Radix Alba and their corresponding targets were screened by TCMSP database, targets related to schistosomiasis and liver fibrosis were retrieved through GeneCards database, drug-component-target-disease network was constructed by Cytoscape 3.8.2 software, and the protein-protein interaction network was constructed by STRING database. GO and KEGG enrichment analysis of drug-disease targets were performed using R language. Totally 13 active components of Paeoniae Radix Alba were screened out, 16 Paeoniae Radix Alba against schistosomiasis and liver fibrosis related targets were obtained, and the PPI network contained 15 proteins, including JUN, PTGS2, CAT, etc. The pathways of Paeoniae Radix Alba against schistosomiasis and liver fibrosis mainly include lipid and atherosclerosis, AGE-RAGE signaling pathway in diabetic complications, TNF signaling pathway and NF-kappa B signaling pathway. To preliminarily predict the mechanism of Paeoniae Radix Alba against schistosomiasis and liver fibrosis can provide new ideas and theoretical basis for further study.

Key words: Network pharmacology, Paeoniae Radix Alba, Schistosomiasis, Liver fibrosis, Mechanism

中图分类号:

Q949.776.6

杨玺, 李彬, 刘如爱, 王播勇, 杨娜, 马运敏, 肖朝江, 姜北, 熊伟. 应用网络药理学预测白芍抗血吸虫病及肝纤维化的作用机制[J]. 楚雄师范学院学报, 2022, 37(3): 59-64.

Xi Yang, Bin Li, Ruai Liu, Boyong Wang, Na Yang, Yunmin Ma, Chaojiang Xiao, Bei Jiang, Wei Xiong. Application of Network Pharmacology to Predicting the Mechanism of Paeoniae Radix Alba against Schistosomiasis and Liver Fibrosis[J]. Journal of Chuxiong Normal University, 2022, 37(3): 59-64.

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