Suppr超能文献

采用超高效液相色谱-四级杆飞行时间质谱联用技术快速鉴定和比较分析黄柏皮和知柏地黄丸的化学成分和代谢产物。

Rapid identification and comparative analysis of the chemical constituents and metabolites of Phellodendri amurensis cortex and Zhibai dihuang pill by ultra-performance liquid chromatography with quadrupole TOF-MS.

机构信息

College of Pharmacy, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China.

出版信息

J Sep Sci. 2013 Dec;36(24):3874-82. doi: 10.1002/jssc.201300794. Epub 2013 Nov 15.

Abstract

Zhibai dihuang pill is a famous traditional Chinese medicine formula containing the herbal medicine Phellodendri amurensis cortex. In this work, an integrative pattern recognition approach including principal component analysis and orthogonal partial least squared discriminant analysis based on ultra-performance liquid chromatography coupled to MS was successfully applied for the rapid discovery of natural compounds from herbal medicines. In a 24 min analysis, 93 compounds were identified or tentatively characterized from Zhibai dihuang pill based on their fragmentation behaviors, 23 of which were from Phellodendri amurensis cortex. A total of 26 metabolites in plasma were identified from Phellodendri amurensis cortex in Zhibai dihuang pill formula, among them, 12 prototypes and 14 metabolites through metabolic pathways of demethylation, methylation, hydrolysis, sulfate conjugation, and glucuronide conjugation, which were seven metabolites more than that of the single drug, suggesting the importance of the compatibility of traditional Chinese medicine. The present study provided important structural information on the metabolism of Zhibai dihuang pill. Furthermore, the results of this work have demonstrated the feasibility of ultra-performance liquid chromatography coupled to MS for the rapid and reliable characterization of metabolites from herbal medicines. Based on these results, this method could be a novel approach for identifying potentially bioactive components in other traditional Chinese medicines.

摘要

知柏地黄丸是一种著名的中药方剂,含有黄柏皮药材。在这项工作中,我们成功地应用了一种整合的模式识别方法,包括基于超高效液相色谱-串联质谱的主成分分析和正交偏最小二乘判别分析,用于快速发现草药中的天然化合物。在 24 分钟的分析中,基于黄柏皮药材的裂解行为,从知柏地黄丸中鉴定或初步表征了 93 种化合物,其中 23 种来自黄柏皮药材。从知柏地黄丸中的黄柏皮药材中共鉴定出 26 种血浆代谢物,其中 12 种原型和 14 种代谢物通过去甲基化、甲基化、水解、硫酸盐结合和葡萄糖醛酸结合代谢途径,比单药多 7 种代谢物,提示中药配伍的重要性。本研究为知柏地黄丸的代谢提供了重要的结构信息。此外,本工作的结果表明,超高效液相色谱-串联质谱法可用于快速可靠地表征草药中的代谢物。基于这些结果,该方法可能成为鉴定其他中药中潜在生物活性成分的新方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验