王铭洋, 宋慧芳, 王璐, 李建峰, 牛天增, 刘阿克. 苦参开花期不同组织黄酮类成分分析及其网络药理学研究J. 药学学报, 2023, 58(5): 1317-1327. DOI: 10.16438/j.0513-4870.2022-1242
引用本文: 王铭洋, 宋慧芳, 王璐, 李建峰, 牛天增, 刘阿克. 苦参开花期不同组织黄酮类成分分析及其网络药理学研究J. 药学学报, 2023, 58(5): 1317-1327. DOI: 10.16438/j.0513-4870.2022-1242
WANG Ming-yang, SONG Hui-fang, WANG Lu, LI Jian-feng, NIU Tian-zeng, LIU A-ke. Component analysis and network pharmacology of flavonoids in Sophora flavescens tissues at anthesisJ. Acta Pharmaceutica Sinica, 2023, 58(5): 1317-1327. DOI: 10.16438/j.0513-4870.2022-1242
Citation: WANG Ming-yang, SONG Hui-fang, WANG Lu, LI Jian-feng, NIU Tian-zeng, LIU A-ke. Component analysis and network pharmacology of flavonoids in Sophora flavescens tissues at anthesisJ. Acta Pharmaceutica Sinica, 2023, 58(5): 1317-1327. DOI: 10.16438/j.0513-4870.2022-1242

苦参开花期不同组织黄酮类成分分析及其网络药理学研究

Component analysis and network pharmacology of flavonoids in Sophora flavescens tissues at anthesis

  • 摘要: 苦参是我国的传统中药, 富含黄酮类化合物, 在药品开发和临床上具有广泛的应用前景。本研究首先基于广泛靶向代谢组学技术, 在苦参开花期五个组织中共检测到227种黄酮类化合物。其中137种在不同组织部位均存在, 18种在根部特异性积累。与根组织相比, 苦参的茎、叶、花和幼嫩的豆荚中分别有156、155、156和150种差异积累代谢物。然后, 利用PubChem和SwissADME数据库确定了苦参中有47种黄酮类潜在药效成分, 并通过SwissTargetPrediction和GeneCards数据库预测了这些潜在活性成分参与治疗2型糖尿病(T2DM) 的潜在靶点(58个)。通过STRING数据库将这些靶点构建蛋白互作关系网络, 并对其进行GO和KEGG功能富集分析。最后, 基于“成分-靶点-通路”网络多层次系统地挖掘苦参黄酮治疗T2DM的作用机制, 筛选到10种关键的潜在药效成分。它们主要分布于根、花和豆荚中, 但在不同组织中含量存在显著差异。研究结果表明苦参黄酮治疗T2DM的作用机制可能是以AKT1、ESR1、EGFR、PIK3R1、TNF以及PTGS2等为关键靶点, 通过调节AGE-RAGE信号通路、PI3K-Akt信号通路、胰岛素抵抗、内分泌抵抗以及EGFR酪氨酸激酶抑制剂抵抗等信号通路发挥降糖的作用。通过对苦参中黄酮类成分的组织分布与网络药理学分析, 可为今后开展苦参代谢物的深入研究以及苦参地上部分资源的合理开发和利用提供理论依据, 也为全面探索苦参治疗T2DM的作用机制提供参考。

     

    Abstract: Sophora flavescens is a traditional Chinese medicine rich in flavonoids and has wide application potential in drug development and clinical practice. In this study, a total of 227 flavonoids were detected among five tissues of S. flavescens during anthesis using widely targeted metabolomics techniques. There were 137 flavonoids shared by five S. flavescens tissues and 18 root-specific flavonoids. There were 156, 155, 156 and 150 differentially accumulated metabolites identified in stem, leaf, flower, and young pod, respectively, compared with root. Forty-seven potentially active flavonoid components in S. flavescens were identified using the PubChem and SwissADME databases. The 58 potential target proteins for these potentially active components were predicted to be important in the treatment of type 2 diabetes mellitus (T2DM) based on the SwissTargetPrediction and GeneCards database. These 58 target proteins were used to construct a protein-protein interaction network through the STRING database, from which we performed GO and KEGG functional enrichment analysis. The mechanisms by which S. flavescens flavonoids may be useful in the treatment of T2DM was further explored in a multi-level and systematic way based on a " component-target-pathway" network. Finally, ten key potentially effective components were identified and found to be mainly distributed in the roots, flowers, and pods, and their content varied significantly between tissues. The results predict that the key targets of S. flavescens flavonoids in the treatment of T2DM are AKT1, ESR1, EGFR, PIK3R1, TNF and PTGS2, and that they play a hypoglycemic role through the regulation of endocrine resistance, AGE-RAGE, the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance and other signaling pathways. This analysis of the tissue distribution and network pharmacology of S. flavescens flavonoids provides a theoretical basis for further studies on S. flavescens metabolites, the rational development and utilization of the S. flavescens aboveground parts, and initiates a comprehensive exploration of the mechanisms by which S. flavescens can be used in the treatment of T2DM.

     

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