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采用液相色谱/二极管阵列检测/三重四极杆质谱联用技术鉴定中药复方思尼散在大鼠血浆和尿液中的代谢产物。

Identification of metabolites of Si-Ni-San, a traditional Chinese medicine formula, in rat plasma and urine using liquid chromatography/diode array detection/triple-quadrupole spectrometry.

机构信息

Laboratory of Pharmaceutics, Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210046, People's Republic of China.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2012 Feb 15;885-886:73-82. doi: 10.1016/j.jchromb.2011.12.017. Epub 2011 Dec 26.

DOI:10.1016/j.jchromb.2011.12.017
PMID:22226767
Abstract

Si-Ni-San (SNS) is a widely used traditional Chinese medicine formula (TCMF) in treating various diseases. However, the in vivo integrated metabolism of its multiple components remains unknown. In this paper, a liquid chromatography coupled with diode array detection and triple-quadrupole spectrometry (LC-DAD-MS/MS) method was developed for detection and identification of SNS metabolites in rat plasma and urine at a normal clinical dosage. Accurate structural elucidation was performed using MS/MS, UV data and n-octanol/water partition coefficient. Based on the proposed strategy, 36 absorbed compounds and 29 metabolites in plasma and 33 metabolites in urine were detected by a highly sensitive MRM method. Our results indicated that phase II reactions (e.g., methylation, glucuronidation and sulfation) were the main metabolic pathways of gallic acid and flavanones, while phase I reactions (e.g., hydroxylation) were the major metabolic reaction for triterpenoid saponins. The metabolite profile analysis of SNS provided a comprehensive understanding of the in vivo metabolic fates of constituents in SNS. Moreover, the results in this work demonstrated the present strategy based on the combination of chromatographic, spectrophotometric, mass-spectrometric, and software prediction to detect and identify metabolites was effective and reliable. And such a strategy may also be extended to investigate the metabolism of other TCMF.

摘要

思诺思(SNS)是一种广泛应用于治疗各种疾病的中药方剂(TCMF)。然而,其多种成分的体内综合代谢途径仍不清楚。在本研究中,采用液相色谱-二极管阵列检测-串联质谱(LC-DAD-MS/MS)法,在正常临床剂量下,检测和鉴定大鼠血浆和尿液中的 SNS 代谢物。采用 MS/MS、UV 数据和正辛醇/水分配系数对其进行了准确的结构解析。基于所提出的策略,采用高灵敏度的 MRM 法在血浆中检测到 36 种吸收化合物和 29 种代谢物,在尿液中检测到 33 种代谢物。研究结果表明,二期反应(如甲基化、葡萄糖醛酸化和硫酸化)是没食子酸和黄烷酮的主要代谢途径,而一期反应(如羟化)是三萜皂苷的主要代谢反应。SNS 的代谢物谱分析为 SNS 中成分的体内代谢命运提供了全面的了解。此外,本工作中的结果表明,基于色谱、分光光度、质谱和软件预测相结合的检测和鉴定代谢物的策略是有效和可靠的。并且这种策略也可以扩展到研究其他 TCMF 的代谢。

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