山东科学 ›› 2023, Vol. 36 ›› Issue (3): 18-26.doi: 10.3976/j.issn.1002-4026.2023.03.003

• 药理与毒理 • 上一篇    下一篇

基于网络药理学与代谢组学探讨枳实-厚朴药对治疗慢传输型便秘的作用机制

董朋峻(), 蔡彬*()   

  1. 无锡市中医医院 肛肠科,江苏 无锡 214000
  • 收稿日期:2022-10-09 出版日期:2023-06-20 发布日期:2023-06-07
  • 通信作者: * 蔡彬(1988—),男,博士,副主任医师,研究方向为肛肠疾病的中医临床与基础研究。E-mail: cb1988cn@126.com
  • 作者简介:董朋峻(1996—),男,硕士研究生,研究方向为中西医结合临床。E-mail:aa496091689@163.com
  • 基金资助:
    国家自然科学基金青年科学基金(82205110);江苏省 “六大人才高峰”项目(WSN-190);无锡市“双百”中青年医疗卫生拔尖人才项目(BJ2020070);无锡市科技发展医疗卫生指导性计划(SKJJZD20)

Action mechanism of the herb pair Aurantii Fructus Immaturus-Magnoliae Officinalis Cortex in the treatment of slow transit constipation based on network pharmacology and metabolomics

DONG Pengjun(), CAI Bin*()   

  1. Department of Anorectal Surgery, Wuxi Traditional Chinese Medicine Hospital, Wuxi 214000, China
  • Received:2022-10-09 Online:2023-06-20 Published:2023-06-07

摘要:

利用网络药理学与代谢组学探讨枳实-厚朴药对治疗慢传输型便秘(slow transit constipation,STC)的潜在作用机制。使用中药系统药理数据库与分析平台筛选枳实与厚朴的化学成分及作用靶点,通过GeneCards、OMIM、DisGeNET数据库搜集STC的疾病预测靶点,运用维恩图获得成分与疾病的交集靶点,采用STRING数据库构建蛋白质-蛋白质相互作用网络,运用Cytoscape 3.8.0软件计算并筛选关键靶点,同时绘制中药-成分-靶点网络图,利用Metascape数据库对交集靶点进行GO(gene ontology)功能富集分析和KEGG(Kyoto encyclopedia of genes and genomes)通路富集分析。采用洛哌丁胺诱导法构建STC小鼠模型,给予枳实+厚朴灌胃给药后,对小鼠盲肠内容物进行基于气相色谱联合飞行时间质谱(GC/TOF-MS)的非靶向代谢组学检测,分析差异性代谢物。结果获得枳实-厚朴药对活性成分共24种,与STC疾病相关的交集靶点共106个,其中度值排名靠前的关键靶点包括AKT1、TNF、TP53、IL6、CASP3、JUN。GO分析发现可能涉及的生物学过程包括细胞对氮化合物的反应、细胞对脂质的反应、蛋白磷酸化的正调控、炎症反应的调节、离子传输的调节等。KEGG分析可能涉及的通路包括癌症通路、PI3K-AKT信号通路、钙信号通路、5-羟色胺能突触信号通路等。非靶向代谢组学检测共发现21种差异性代谢物,包括Akt相关性代谢物烟酸、果糖、原儿茶酸。本研究揭示枳实-厚朴药对通过多成分、多靶点、多通路对STC发挥治疗作用,其活性成分柚皮素和木犀草素,关键靶点Akt及相关性代谢物值得特别关注,这为后续基础研究提供了思路与理论依据。

关键词: 枳实, 厚朴, 慢传输型便秘, 网络药理学, 代谢组学

Abstract:

The potential action mechanism of aurantii fructus immaturus and magnoliae officinalis cortex in the treatment of slow transit constipation (STC) was investigated via network pharmacology and metabolomics.The chemical ingredients and targets of aurantii fructus immaturus and magnoliae officinalis cortex were obtained using the traditional Chinese medicine systems pharmacology database and analysis platform. The disease prediction targets of STC were collected through the GeneCards, OMIM, and DisGeNET databases. The intersection targets of ingredients and diseases were obtained using Venn diagrams. The STRING database was used to construct the protein-protein interaction network. The Cytoscape 3.8.0 software was used to calculate and screen the key targets, and then the network diagram of TCM-ingredient targets was plotted. The gene ontology(GO) functional enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis of the intersection targets were performed using the Metascape database. A loperamide-induced STC mouse model was used in the study. After intragastric administration of aurantii fructus immaturus and magnoliae officinalis cortex, GC/TOF-MS-based untargeted metabolomics of cecal contents was performed to analyze differential metabolites. A total of 24 active ingredients and 106 intersection targets were obtained. The key targets with higher degree values included AKT1, TNF, TP53, IL6, CASP3, and JUN. GO analysis revealed that the possible processes were cellular response to nitrogen compound, cellular response to lipid, positive regulation of protein phosphorylation, regulation of inflammatory response, regulation of ion transport, etc. KEGG analysis revealed the pathways involved in cancer, the PI3K-Akt signaling pathway, the calcium signaling pathway, serotonergic synapse, etc. In addition, 21 differential metabolites were found via untargeted metabolomics, including the Akt-associated metabolites nicotinic acid, fructose, and protocatechuic acid. The results suggested that aurantii fructus immaturus and magnoliae officinalis cortex exerted therapeutic effects on STC via multi-ingredient, multi-target and multi-pathway mechanisms, thereby providing ideas and a theoretical basis for future basic research. The active ingredients naringenin and lignan, as well as the key target Akt and its related metabolites, deserves special attention.

Key words: Aurantii Fructus Immaturus, Magnoliae Officinalis Cortex, slow transit constipation, network pharmacology, metabolomics

中图分类号: 

  • R285