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It has been demonstrated that triterpenes in Alismatis rhizoma (Zexie in Chinese, ZX) contributed to the lipid-lowering effect on high-fat diet-induced hyperlipidemia. Alisol B 23-acetate, one of the abundant triterpenes in ZX, was used as the marker of quality control for ZX in Chinese Pharmacopoeia, while it could not reflect the lipid-lowering effect because other triterpenes in ZX also had prominent medicinal efficacy. To identify the significantly bioactive triterpenes in ZX, a multiple reaction monitoring (MRM)-based characteristic chemical profile (CCP)-support vector machine (SVM) model was used to explore the relationship between triterpenes and lipid-lowering effect of ZX. Firstly, the content of 87 targeted triterpenes was quantified by the MRM-based CCP using UHPLC-QTRAP-MS/MS. Secondly, the lipid-lowering effect of 30 ZX samples was assessed by 3T3-L1 preadipocytes. Thirdly, 9 of the 87 triterpenes possessing high mean impact value were identified to have significant lipid-lowering effect via the particle swarm-optimized SVM model. The new SVM model constructed by the 9 triterpenes showed good prediction performance and the overall prediction accuracy reached 81.94%. Finally, the real activity of these triterpenes was partly confirmed and was consistent with the prediction of SVM. These results showed that the method for discovery of triterpenes with prominent lipid-lowering activity in ZX was reliable. The proposed method is expected to provide an efficient and rapid approach for screening of active component and drug discovery in traditional herbs. [ABSTRACT FROM AUTHOR]

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It was reported that triterpenes compounds in Alismatis rhizoma (AR) contributed to the lipid lowering effect on high fat diet (HFD)-induced hyperlipidemia. To date only 24 triterpenes (including the isomers) were characterized by LC-QTOF-MS/MS due to the lack of strategies for systematic discovery, classification and identification of triterpenes in AR. In this study, an integrated strategy combining various QTOF-MS/MS and QTRAP-MS/MS scan functions was developed for systematic identification and specific characterization of triterpenes in AR and processed AR. First, MS/MS fragmentation behaviors of different types of triterpenes were investigated and their diagnostic product ions were systematically summarized for discovery and classification of triterpenes. Second, diagnostic product ions were used to filter the data acquired by UHPLC-QTOF MS/MS for efficient identification of targeted triterpenes. Third, MRM-based characteristic chemical profile (CCP) of triterpenes was established using 30 MRM transitions by UHPLC-QTRAP-MS/MS. Fourth, MRM-based CCP was applied for comparative analyses of triterpenes in AR from different regions and from two other processed AR (salt processed AR and bran processed AR). Consequently, a total of 80 triterpenes including 14 novel compounds were identified in the AR, and 7 more triterpenes compounds were discovered using MRM-based CCP in the processed AR. This work is the most comprehensive characterization of triterpenes compounds in AR to date. The established MRM-based CCP of triterpenes compounds can be instructive for qualitative analyses and relative quantitative analyses of triterpenes in AR and its related medicinal products for potential applications including quality control and classification of different AR materials. [ABSTRACT FROM AUTHOR]