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首页> 外文期刊>Analytical and bioanalytical chemistry >Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model
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Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model

机译：基于MRM的特征化学分析和支持向量机模型，鉴定Alismatis Rhizoma的脂质降低组分。

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摘要

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.
机译：已经证明，Alismatis Rhizoma（Zexie中，ZX）中的Triterpenes有助于降低对高脂饮食诱导的高脂血症的脂质影响。 Alisol B 23-醋酸盐，ZX中的一个丰富的三萜之一，用作中国药典中ZX质量控制的标志物，而它不能反映降脂效果，因为ZX的其他三萜烯也具有突出的药用功效。为了鉴定ZX中的显着生物活性三萜，用于基于多反应监测（MRM）的特征化学型材（CCP）-Support向量机（SVM）模型用于探讨ZX的三萜和降低效果之间的关系。首先，使用UHPLC-QTRAP-MS / MS通过基于MRM的CCP量化87个靶向三萜的含量。其次，通过3T3-L1前脂肪细胞评估30 ZX样品的降低脂质降低效果。第三，鉴定出具有高平均抗冲击值的87个三萜的9个通过粒子群优化的SVM模型具有显着降低的脂质降低效果。由9个Triterpenes构建的新SVM模型显示出良好的预测性能，总体预测精度达到81.94％。最后，部分确认了这些Triterpenes的实际活动，并与SVM的预测一致。这些结果表明，在ZX中发现具有突出脂质的脂质活性的三萜的方法是可靠的。该方法预计将提供一种有效且快速的方法，用于筛选传统草药中的活性成分和药物发现。

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