Ge Yue-Wei, Zhu Shu, Yoshimatsu Kayo, Komatsu Katsuko
Division of Pharmacognosy, Institute of Natural Medicine, University of Toyama, Toyama 930-0194, Japan.
Research Center for Medicinal Plant Resources, National Institutes of Biomedical Innovation, Health and Nutrition, Ibaraki 305-0843, Japan.
Food Chem. 2017 Jul 15;227:444-452. doi: 10.1016/j.foodchem.2017.01.119. Epub 2017 Jan 26.
The targeted mass information of compounds accelerated their discovery in a large volume of untargeted MS data. An MS/MS similarity networking is advanced in clustering the structural analogues, which benefits the collection of mass information of similar compounds. The triterpene saponins extracted from Eleutherococcus senticosus leaves (ESL), a kind of functional tea, have shown promise in the relief of Alzheimer's disease. In this work, a target-precursor list (TPL) generated using MS/MS similarity networking was employed to rapidly trace 106 triterpene saponins from the aqueous extracts of ESL, of which 49 were tentatively identified as potentially new triterpene saponins. Moreover, a compound database of triterpene saponins was established and successfully applied to uncover their distribution features in ESL samples collected from different areas.
化合物的靶向质量信息加速了它们在大量非靶向质谱数据中的发现。串联质谱相似性网络在对结构类似物进行聚类方面具有优势，这有利于收集相似化合物的质量信息。从功能性茶刺五加叶（ESL）中提取的三萜皂苷在缓解阿尔茨海默病方面显示出前景。在这项工作中，使用串联质谱相似性网络生成的目标前体列表（TPL）被用于快速追踪ESL水提取物中的106种三萜皂苷，其中49种被初步鉴定为潜在的新三萜皂苷。此外，还建立了三萜皂苷化合物数据库，并成功应用于揭示其在不同地区采集的ESL样品中的分布特征。
