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基于非靶向 LC-MS/MS 的多信息分子网络在靶向水果中抗增殖成分中的应用。

Untargeted LC-MS/MS-Based Multi-Informative Molecular Networking for Targeting the Antiproliferative Ingredients in Fruit.

机构信息

Agricultural Biotechnology Research Center, Academia Sinica, Taipei 115201, Taiwan.

Research Center for Chinese Herbal Medicine, Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan 333324, Taiwan.

出版信息

Molecules. 2022 Jul 12;27(14):4462. doi: 10.3390/molecules27144462.

Abstract

The fruit of (TR) is commonly used in Chinese herbal medicine and it has known antiproliferative and antitumor activities, which can serve as a good source of functional ingredients. Although some antiproliferative compounds are reported to be present in TR fruit, most studies only focused on a limited range of metabolites. Therefore, in this study, the antiproliferative activity of different extracts of TR fruit was examined, and the potentially antiproliferative compounds were highlighted by applying an untargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based multi-informative molecular networking strategy. The results showed that among different extracts of TR fruit, the EtOAc fraction F2-3 possessed the most potent antiproliferative activity against HL-60, T24, and LX-2 human cell lines. Through computational tool-aided structure prediction and integrating various data (sample taxonomy, antiproliferative activity, and compound identity) into a molecular network, a total of 11 indole alkaloids and 47 types of quinolone alkaloids were successfully annotated and visualized into three targeted bioactive molecular families. Within these families, up to 25 types of quinolone alkaloids were found that were previously unreported in TR fruit. Four indole alkaloids and five types of quinolone alkaloids were targeted as potentially antiproliferative compounds in the EtOAc fraction F2-3, and three (evodiamine, dehydroevodiamine, and schinifoline) of these targeted alkaloids can serve as marker compounds of F2-3. Evodiamine was verified to be one of the major antiproliferative compounds, and its structural analogues discovered in the molecular network were found to be promising antitumor agents. These results exemplify the application of an LC-MS/MS-based multi-informative molecular networking strategy in the discovery and annotation of bioactive compounds from complex mixtures of potential functional food ingredients.

摘要

(TR)的果实通常用于中药,具有已知的抗增殖和抗肿瘤活性,可以作为功能成分的良好来源。尽管一些具有抗增殖作用的化合物存在于 TR 果实中,但大多数研究仅集中在有限数量的代谢物上。因此,在本研究中,检查了 TR 果实不同提取物的抗增殖活性,并通过应用基于非靶向液相色谱-串联质谱(LC-MS/MS)的多信息分子网络策略突出潜在的抗增殖化合物。结果表明,在 TR 果实的不同提取物中,乙酸乙酯部分 F2-3 对 HL-60、T24 和 LX-2 人细胞系具有最强的抗增殖活性。通过计算工具辅助结构预测并将各种数据(样品分类、抗增殖活性和化合物身份)整合到分子网络中,成功注释和可视化了 11 种吲哚生物碱和 47 种喹诺酮生物碱三种靶向生物活性分子家族。在这些家族中,发现了多达 25 种以前未在 TR 果实中报道的喹诺酮生物碱。在乙酸乙酯部分 F2-3 中,有 4 种吲哚生物碱和 5 种喹诺酮生物碱被靶向为潜在的抗增殖化合物,其中 3 种(吴茱萸碱、脱氢吴茱萸碱和辛弗林)可作为 F2-3 的标记化合物。验证吴茱萸碱是主要的抗增殖化合物之一,在分子网络中发现的其结构类似物被认为是有前途的抗肿瘤剂。这些结果例证了基于 LC-MS/MS 的多信息分子网络策略在发现和注释潜在功能食品成分复杂混合物中的生物活性化合物中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c139/9316527/9a785449c0f5/molecules-27-04462-g001.jpg

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