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通过比较预测和获得的 UPLC-ESI-QTOF-MS/MS 数据鉴定茯苓中三萜酸类似物的去重策略。

A dereplication strategy for identifying triterpene acid analogues in Poria cocos by comparing predicted and acquired UPLC-ESI-QTOF-MS/MS data.

机构信息

Department of Pharmaceutical Analysis, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.

Department of Metabolomics, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China.

出版信息

Phytochem Anal. 2019 May;30(3):292-310. doi: 10.1002/pca.2813. Epub 2018 Dec 19.

DOI:10.1002/pca.2813
PMID:30569602
Abstract

INTRODUCTION

Triterpene acids from the dried sclerotia of Poria cocos (Schw.) Wolf (poria) were recently found to possess anti-cancer activities. Identification of more triterpene acid analogues in poria is worthwhile for high throughput screening in anti-cancer drug discovery.

OBJECTIVE

To establish an efficient dereplication strategy for identifying triterpene acid analogues in poria based on ultra-performance liquid chromatography with electrospray ionisation quadrupole time-of-flight tandem mass spectrometry (UPLC-ESI-QTOF-MS/MS).

METHODOLOGY

The structural characteristics and mass spectrometric data profiles of known triterpene acids previously reported in poria were used to establish a predicted-analogue database. Then, the quasi-molecular ions of components in a poria extract were automatically compared with those in the predicted-analogue database to highlight compounds of potential interest. Tentative structural identification of the compounds of potential interest and discrimination of isomers were achieved by assessing ion fragmentation patterns and chromatographic behaviour prediction based on structure-retention relationship.

RESULTS

A total of 62 triterpene acids were unequivocally or tentatively characterised from poria, among which 17 triterpene acids were tentatively identified for the first time in poria.

CONCLUSION

This study provided more structure information of triterpene acids in poria for future high throughput screening of anti-cancer candidates. It is suggested that this semi-automated approach in which MS data are automatically compared to a predictive database may also be applicable for efficient screening of other herbal medicines for structural analogues of proven bioactives.

摘要

简介

最近发现,来自多孔菌科真菌茯苓(Schw.)Wolf 干燥菌核的三萜酸具有抗癌活性。鉴定更多的茯苓三萜酸类似物对于高通量筛选抗癌药物发现是有价值的。

目的

建立一种基于超高效液相色谱-电喷雾离子化四极杆飞行时间串联质谱(UPLC-ESI-QTOF-MS/MS)的有效去重策略,用于鉴定茯苓中的三萜酸类似物。

方法

利用先前报道的已知茯苓三萜酸的结构特征和质谱数据特征,建立预测类似物数据库。然后,自动比较茯苓提取物中成分的准分子离子与预测类似物数据库中的准分子离子,突出潜在感兴趣的化合物。通过评估基于结构保留关系的离子碎片模式和色谱行为预测,对潜在感兴趣的化合物进行初步结构鉴定和异构体的区分。

结果

从茯苓中明确或推测地鉴定出 62 种三萜酸,其中 17 种三萜酸首次在茯苓中推测出。

结论

本研究为未来高通量筛选抗癌候选物提供了更多茯苓三萜酸的结构信息。建议这种将 MS 数据自动与预测数据库进行比较的半自动方法也可适用于其他草药中已证实生物活性的结构类似物的有效筛选。

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