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基于超高效液相色谱-四极杆-静电场轨道阱质谱联用技术(UPLC-Q-exactive Orbitrap/MS)和网络药理学探索刺梨治疗2型糖尿病的活性成分及潜在机制

Exploring the active components and potential mechanisms of Rosa roxburghii Tratt in treating type 2 diabetes mellitus based on UPLC-Q-exactive Orbitrap/MS and network pharmacology.

作者信息

Shen Chenxiao, Wang Yu, Zhang Hui, Li Wei, Chen Wenyue, Kuang Mingqing, Song Yuelin, Zhong Zhangfeng

机构信息

Macao Centre for Research and Development in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, SAR 999078, China.

Guangzhou Wanglaoji Health Industry Co, Ltd, Guangzhou, 510632, China.

出版信息

Chin Med. 2023 Feb 6;18(1):12. doi: 10.1186/s13020-023-00713-z.

Abstract

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a global disease with growing prevalence that is difficult to cure. Rosa roxburghii Tratt is an edible and medicinal plant, and modern pharmacological studies have shown that it has potential anti-diabetic activity. This is the first study to explore the active components and potential mechanisms of Rosa roxburghii Tratt fruit for treating T2DM based on UPLC-Q-Exactive Orbitrap/MS and network pharmacology.

METHODS

The active components of Rosa roxburghii Tratt fruit were obtained from UPLC-Q-Exactive Orbitrap/MS analysis and retrieval in the SciFinder, PubMed, Web of Science, and CNKI databases. The potential targets of the active components were obtained from the SwissTargetPrediction and PharmMapper databases. The disease targets for T2DM were obtained from GeneCards, OMIM, TTD, DisGENent, and GEO databases. The intersection of the two datasets was used to obtain the potential targets of Rosa roxburghii Tratt fruit against T2DM. The target protein interaction network was constructed using the String database and Cytoscape software. The R software ClusterProfiler package was used for target enrichment analysis and the Cytoscape CytoNCA plug-in was used to screen core targets. Molecular docking and result visualization were performed using PyMOL and Autodock Vina software.

RESULTS

We obtained 20 bioactive ingredients, including alphitolic acid, quercetin, and ellagic acid, as well as 13 core targets, such as AKT1, TNF, SRC, and VEGFA. All bioactive ingredients in Rosa roxburghii Tratt fruit were active against T2DM-related therapeutic targets. Rosa roxburghii Tratt fruit may play a therapeutic role in T2DM by regulating the PI3K/AKT, RAS, AGE-RAGE, and other signaling pathways.

CONCLUSIONS

This study explored the active components and potential mechanisms of Rosa roxburghii Tratt fruit in the treatment of T2DM, laying the foundation for a further experimental study based on pharmacodynamic substances and their mechanisms of action.

摘要

背景

2型糖尿病(T2DM)是一种全球患病率不断上升且难以治愈的疾病。刺梨是一种药食两用植物,现代药理学研究表明其具有潜在的抗糖尿病活性。这是首次基于超高效液相色谱-四极杆-静电场轨道阱质谱联用仪(UPLC-Q-Exactive Orbitrap/MS)和网络药理学探索刺梨果实治疗T2DM的活性成分及潜在机制的研究。

方法

通过UPLC-Q-Exactive Orbitrap/MS分析以及在SciFinder、PubMed、Web of Science和中国知网(CNKI)数据库中检索获取刺梨果实的活性成分。从SwissTargetPrediction和PharmMapper数据库中获取活性成分的潜在靶点。从GeneCards、OMIM、TTD、DisGENet和GEO数据库中获取T2DM的疾病靶点。通过两个数据集的交集来获取刺梨果实针对T2DM的潜在靶点。使用String数据库和Cytoscape软件构建靶点蛋白相互作用网络。运用R软件的ClusterProfiler包进行靶点富集分析,并使用Cytoscape的CytoNCA插件筛选核心靶点。使用PyMOL和Autodock Vina软件进行分子对接及结果可视化。

结果

我们获得了20种生物活性成分,包括齐墩果酸、槲皮素和鞣花酸,以及13个核心靶点,如AKT1、TNF、SRC和VEGFA。刺梨果实中的所有生物活性成分均对T2DM相关治疗靶点具有活性。刺梨果实可能通过调节PI3K/AKT、RAS、AGE-RAGE等信号通路在T2DM中发挥治疗作用。

结论

本研究探索了刺梨果实治疗T2DM的活性成分及潜在机制,为基于药效物质及其作用机制的进一步实验研究奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5758/9903504/2d3591e0aba7/13020_2023_713_Fig1_HTML.jpg

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