A Novel Method for Evaluating the Cardiotoxicity of Traditional Chinese Medicine Compatibility by Using Support Vector Machine Model Combined with Metabonomics.
A Novel Method for Evaluating the Cardiotoxicity of Traditional Chinese Medicine Compatibility by Using Support Vector Machine Model Combined with Metabonomics.
复制标题
支持向量机模型结合代谢组学评价中药配伍心脏毒性的新方法
DOI：
10.1155/2016/6012761
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Zhang Y
中科院分区：
文献类型：
--
作者：
Li Y;Zhou H;Xie J;Ally MS;Hou Z;Xu Y;Zhang Y
长期以来，传统的生化和组织病理学试验一直被用来评价中药配伍的安全性。但这些方法缺乏较高的敏感性和特异性。在前期的研究中，我们发现了10个与心脏毒性相关的生物标志物，并建立了支持向量机预测模型。结果表明，该方法具有较好的敏感性和特异性。因此，本研究采用支持向量机模型，结合代谢组学UPLC/Q-TOF-MS技术，建立了一种快速、灵敏、特异的中药配伍心脏毒性预测方法。本研究首次将支持向量机模型应用于附子配伍的心脏毒性预测，进一步确定附子配伍后心脏毒性是否增加。本研究为中药配伍心脏毒性评价的研究提供了新的思路。
Traditional biochemical and histopathological tests have been used to evaluate the safety of traditional Chinese medicine (TCM) compatibility for a long time. But these methods lack high sensitivity and specificity. In the previous study, we have found ten biomarkers related to cardiotoxicity and established a support vector machine (SVM) prediction model. Results showed a good sensitivity and specificity. Therefore, in this study, we used SVM model combined with metabonomics UPLC/Q-TOF-MS technology to build a rapid and sensitivity and specificity method to predict the cardiotoxicity of TCM compatibility. This study firstly applied SVM model to the prediction of cardiotoxicity in TCM compatibility containing Aconiti Lateralis Radix Praeparata and further identified whether the cardiotoxicity increased after Aconiti Lateralis Radix Praeparata combined with other TCM. This study provides a new idea for studying the evaluation of the cardiotoxicity caused by compatibility of TCM.
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