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.
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.
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.
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。