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中国药学(英文版) ›› 2023, Vol. 32 ›› Issue (6): 446-459.DOI: 10.5246/jcps.2023.06.038

• 【研究论文】 • 上一篇    下一篇

基于网络药理学探讨大柴胡汤治疗高脂血症的潜在作用靶点和机制

闫焕1,#, 王健2,#, 付浩2,#, 杨敏3, 曲苗4,*(), 方志娥3,*()   

  1. 1. 重庆市人民医院, 重庆 400010
    2. 武警特色医学中心, 天津 300162
    3. 重庆市中医院, 重庆 400011
    4. 黑龙江中医药大学, 黑龙江 哈尔滨 150006
  • 收稿日期:2023-01-23 修回日期:2023-02-17 接受日期:2023-03-15 出版日期:2023-07-01 发布日期:2023-07-01
  • 通讯作者: 曲苗, 方志娥
  • 作者简介:
    + Tel.: +86-15804519288, E-mail:
    + Tel.: +86-18716238662, E-mail:
  • 基金资助:
    Chongqing Natural Science Foundation (Grant No. cstc2021jcyj-msxmX0267; CSTB2022TIAD-YJX0006); Heilongjiang Traditional Chinese Medicine Research Project (Grant No. ZHY18-075).

Discussion on the potential target and mechanism of Dachaihu Decoction in treating hyperlipidemia based on network pharmacology

Huan Yan1,#, Jian Wang2,#, Hao Fu2,#, Min Yang3, Miao Qu4,*(), Zhie Fang3,*()   

  1. 1 Chongqing General Hospital, Chongqing 400010, China
    2 Characteristic Medical Center of Chinese People’s Armed Police Forces, Tianjin 300162, China
    3 Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400011, China
    4 Heilongjiang University of Chinese Medicine, Harbin 150006, China
  • Received:2023-01-23 Revised:2023-02-17 Accepted:2023-03-15 Online:2023-07-01 Published:2023-07-01
  • Contact: Miao Qu, Zhie Fang
  • About author:
    # Huan Yan, Jian Wang and Hao Fu contributed equally to this work.

摘要:

本研究对大柴胡汤治疗高脂血症时的潜在作用靶点及相关信号通路进行了探讨,首先在中药系统药理学数据库与分析平台(TCMSP)检索大柴胡汤中柴胡、黄芩、白芍、半夏、枳实、生姜、大枣、大黄8种中药成分, 获得大柴胡汤的活性成分。通过TCMSP数据库查找每味中药的活性成分对应的蛋白靶点。在比较毒物基因组数据库(CTD)、人类孟德尔遗传综合数据库(OMIM)、中医药整合药理学研究平台(TCMIP)检索“高脂血症”英文关键词“hyperlipemia”, 得到高脂血症的疾病靶点。将大柴胡汤药物靶点与高脂血症疾病靶点通过在线网站进行对比分析, 取交集作为大柴胡汤治疗高脂血症的作用靶点。通过拓扑学分析, 根据度值筛选大柴胡汤治疗高脂血症的关键有效成分。将上述分析得到的大柴胡汤治疗高脂血症的基因靶点导入String平台, 识别PPI网络中相互作用的关键模块; 使用cytohubba插件筛选关键模块的关键(Hub)基因。采用在线数据库平台DAVID对包含基因最多、分值最高的关键模块基因进行富集分析。最终得到大柴胡汤的有效成分116个, 靶点294个, 此即为大柴胡汤的药物靶点。在CTD数据库、OMIM数据库及TCMIP平台共得到1349个疾病相关基因靶点。大柴胡汤药物靶点与高脂血症疾病相关靶点进行韦恩图对比取交集后, 得到168个大柴胡汤治疗高脂血症的作用靶点。使用Cytoscape软件MCODE插件共识别出PPI网络中8个关键蛋白模块, 对最关键的第1个关键模块进行分析, 筛选出前15位的Hub基因。GO功能注释显示, BP主要集中于从RNA聚合酶II启动子转录的正调控、凋亡过程的负调控、对药物的反应; CC主要集中于细胞外空间、细胞外区域、小窝; MF主要集中于酶结合、细胞因子活性、蛋白质结合。KEGG通路富集分析主要乙型肝炎信号通路、TNF信号通路、肿瘤相关信号通路、PI3K-AKT信号通路。可以得出, 大柴胡汤可能主要通过调控PI3K-AKT和TNF信号通路以及MMP9、MAPK2等基因的表达, 在治疗高脂血症中发挥作用。

关键词: 大柴胡汤, 网络药理学, 高脂血症

Abstract:

To explore the potential targets and related signaling pathways of Dachaihu Decoction in treating hyperlipidemia, we obtained the active ingredients of the decoction by searching the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) for eight Chinese herbal ingredients, namely Radix Bupleuri, Radix Scutellariae, Radix Paeoniae Alba, Rhizoma Pinelliae, Fructus Aurantii Immaturus, Ginger, Jujube, and Rhubarb. To obtain the disease target for hyperlipidemia, we searched the English keyword “hyperlipidemia” and compared and analyzed the drug target of Dachaihu Decoction with the target of hyperlipidemia disease through an online website. We then identified the intersection between the two as the target of Dachaihu Decoction for treating hyperlipidemia. We conducted a topological analysis to screen the key effective components of Dachaihu Decoction for treating hyperlipidemia based on their degree value. Then, the gene targets of Dachaihu Decoction for hyperlipidemia were imported into the String platform to identify the key interaction modules in the PPI network. We also used the cytohubba plug-in to screen the key genes of these modules. The online database platform DAVID was utilized to perform enrichment and analysis of the key module genes with the highest number of genes and scores. The study yielded 116 active ingredients and 294 targets as the drug targets of Dachaihu Decoction. Furthermore, a total of 1349 disease-related gene targets were obtained from the CTD database, OMIM database, and TCMIP platform. After comparing the drug targets of Dachaihu Decoction with the targets related to hyperlipidemia, a total of 168 targets were found to be involved in the treatment of hyperlipidemia by Dachaihu Decoction. Using the MCODE plug-in in Cytoscape software, eight key protein modules were identified in the PPI network. Further analysis of the first key module revealed the top 15 hub genes which may play important roles in the pharmacological effects of Dachaihu Decoction for treating hyperlipidemia. To further understand the underlying mechanism, GO function annotation and KEGG pathway enrichment analysis were performed for the genes included in the key modules using the DAVID database. Based on the GO function annotation, the biological process (BP) of the key module genes was mainly related to the positive regulation of transcription from the RNA polymerase II promoter, the negative regulation of apoptosis, and the response to drugs. The cellular component (CC) was mainly located in the extracellular space, extracellular area, and pits. The molecular function (MF) was mainly focused on enzyme binding, cytokine activity, and protein binding. The KEGG pathway enrichment analysis showed that the key module genes were involved in several signaling pathways, including the hepatitis B signaling pathway, TNF signaling pathway, tumor-related signaling pathway, and PI3K-AKT signaling pathway. These pathways are known to be associated with inflammation, apoptosis, and cell growth, which are all critical processes in the development of hyperlipidemia. In conclusion, it appeared that Dachaihu Decoction could potentially be effective in the treatment of hyperlipidemia by regulating the expression of key genes, such as MMP9 and MAPK2, as well as the PI3K-AKT and TNF signaling pathways.

Key words: Dachaihu Decoction, Network pharmacology, Hyperlipidemia

Supporting: