[关键词]
[摘要]
目的 采用序贯代谢方法结合超高效液相色谱-高分辨质谱联用(UPLC-HRMS)技术,鉴定给药后不同血浆样品中的原型成分与代谢产物,研究栀子化学成分在大鼠体内不同部位的代谢情况。方法 首先制备栀子提取液,然后通过肠灌流和封闭肠环法分别收集肠壁代谢、肠道菌群代谢、肝代谢的血浆样品,ig给药后收集综合代谢血液样品,结合UPLC-HRMS对各个样品所含成分进行分析与鉴别。结果 从栀子提取液中共检测到环烯醚萜苷类、萜类、有机酸类和栀子黄色素类等46个化学成分。序贯代谢研究结果表明,在肠代谢样品中检测到38个原型入血成分和22个代谢产物,肝代谢样品中检测到25个原型入血成分和16个代谢产物,综合代谢组样品中检测到14个原型入血成分和10个代谢产物。结论 基于序贯代谢方法,解析栀子在大鼠体内的原型入血成分与代谢产物,不同代谢部位成分的差异为阐明栀子代谢成分在体内的生物转化过程提供了依据。
[Key word]
[Abstract]
Objective To identify the prototype components and metabolites in different plasma samples after administration, and study the metabolism of chemical components of Gardenia jasminoides in different parts of rats by sequential metabolism method combined with ultra-high-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) technology. Methods G. jasminoides extract was firstly prepared, and then plasma samples of intestinal wall metabolism, intestinal flora metabolism and liver metabolism were collected by intestinal perfusion and closed intestinal loop method, and comprehensive metabolic blood samples were collected after intragastric administration and the components in samples were analyzed and identified by UPLC-HRMS. Results A total of 46 chemical components including iridoid glycosides, terpenes, organic acids and gardenia yellow pigments were identified from the extract of G. jasminoides. The results of sequential metabolism study showed that 38 prototype blood components and 22 metabolites were identified in intestinal metabolism samples, 25 prototype blood components and 16 metabolites were identified in liver metabolism samples, and 14 prototype blood components and 10 metabolites were identified in metabolome samples. Conclusion Based on sequential metabolism method, this study analyzes the prototype blood components and metabolites of G. jasminoides extract in rats, and the differences in components of different metabolic sites provide a basis for elucidating the biotransformation process of G. jasminoides metabolic components in vivo.
[中图分类号]
R285.6
[基金项目]
国家自然科学基金资助项目(81973295)