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UPLC-qMS 谱效关系研究重楼提取物。

UHPLC-qMS spectrum-effect relationships for Rhizoma Paridis extracts.

机构信息

State Key Laboratory of Natural Medicines, China Pharmaceutical University, 639 Longmian Road, Nanjing, 211198, Jiangsu, China; School of Traditional Chinese Pharmacy, China Pharmaceutical University, 639 Longmian Road, Nanjing, 211198, Jiangsu, China.

Yunnan Academy of Agricultural Sciences, Kunming, 650224, Yunnan, China.

出版信息

J Pharm Biomed Anal. 2021 Feb 5;194:113770. doi: 10.1016/j.jpba.2020.113770. Epub 2020 Nov 24.

Abstract

Rhizoma Paridis (RP) with significant anti-tumor and haemostatic effects, has been used as the raw material of many Traditional Chinese preparations. However, its active ingredients are still unclear. The present study aimed to discover bioactive ingredients from RP based on spectrum-relationship and chemometric methods. Firstly, the saponins extract was prepared by phytochemical methods. Furthermore, UHPLC-QTOF-MS and UHPLC-qMS were incorporated to establish an efficient and sensitive method for obtaining the chemical profiles of RP. A total of 34 saponins were characterized in RP and 13 of them were assigned as common peaks in 25 batches of samples. After evaluation of the anti-tumor and haemostatic activities of samples, spectrum-effect relationships were investigated by the grey relational analysis (GRA), orthogonal projections to latent structures (OPLS) and back propagation artificial neural network (BP-ANN). These analyses showed that polyphyllin VII (P27), polyphyllin II (P30), dioscin (P31) and polyphyllin I (P33) play a role in the haemostatic effects of RP whereas polyphyllin VII (P27), dioscin (P31), polyphyllin I (P33), progenin III (P34) were assigned as candidate ingredients accounting for the anti-tumor activity of RP. The anti-tumor and haemostatic activities of these screened ingredients were subsequently verified in vitro. Collectively, the present study established the spectrum-effect relationship mode of RP and discovered the bioactive compounds of RP, which could be also used for exploration of bioactive compounds in herbal medicines, especially for trace compounds.

摘要

重楼(RP)具有显著的抗肿瘤和止血作用,已被用作许多中药制剂的原料。然而,其活性成分仍不清楚。本研究旨在基于谱效关系和化学计量学方法从 RP 中发现生物活性成分。首先,采用植物化学方法制备皂苷提取物。此外,还结合了 UHPLC-QTOF-MS 和 UHPLC-qMS 建立了一种高效、灵敏的方法,用于获得 RP 的化学成分谱。在 RP 中鉴定了 34 种皂苷,其中 13 种被分配为 25 批样品中的共有峰。在评价样品的抗肿瘤和止血活性后,通过灰色关联分析(GRA)、正交投影到潜在结构(OPLS)和反向传播人工神经网络(BP-ANN)研究了谱效关系。这些分析表明,重楼皂苷 VII(P27)、重楼皂苷 II(P30)、薯蓣皂苷(P31)和重楼皂苷 I(P33)在 RP 的止血作用中起作用,而重楼皂苷 VII(P27)、薯蓣皂苷(P31)、重楼皂苷 I(P33)、原薯蓣皂苷 III(P34)被指定为 RP 抗肿瘤活性的候选成分。随后在体外验证了这些筛选成分的抗肿瘤和止血活性。综上所述,本研究建立了 RP 的谱效关系模式,并发现了 RP 的生物活性成分,这也可用于草药中生物活性成分的探索,特别是痕量化合物的探索。

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