摘要
研究红禾麻提取物在大鼠粪便中的代谢产物。SD大鼠灌胃给予红禾麻提取物(给药剂量为136 g·kg^-1,按生药量计)后,运用超高效液相色谱-串联电喷雾飞行时间质谱(UHPLC-Q-TOF-MS^E)技术对其粪便中的代谢产物进行检测,根据得到的质谱数据结合UNIFI软件进行预测,结合对照品和相关文献报道,对大鼠粪便中原型成分、代谢产物进行鉴定分析。总共检测出43个代谢产物(包括8个原型成分,35个代谢产物),代谢途径主要包括单咖啡酰基奎宁酸氢化还原、开环裂解、硫酸化、羟基化、葡萄糖醛酸化、槲皮素O-C2键开环裂解、C2-C3双键还原、芦丁羰基化等。研究红禾麻提取物在大鼠粪便中的代谢产物,阐明了其在大鼠粪便中的代谢过程,为该药材的药效物质及其作用机制研究提供了依据。
This project is to study the metabolites of Laportea bulbifera extract in rat feces.After the SD rats were gavaged with the extract(136 g·kg^-1,according to the crude drug dose),the metabolites in their feces were detected by UHPLC-Q-TOF-MS^E technique,and the obtained mass spectrometry data was combined with UNIFI software for prediction.The prototype components and metabolites in rat feces were identified with reference materials and related literature.A total of 43 metabolites were identified(including 8 prototype components and 35 metabolites).The metabolic pathways mainly include monocaffeoylquinic acid(hydrogenation reduction,ring-opening cracking,sulfation,hydroxylation,glucuronidation),quercetin(O-C2 bond ring-opening cleavage,C2-C3 double bond reduction,rutin carbonylation)and so on.The metabolites and metabolic process of L.bulbifera extract in rat feces were clarified,which provided a basis for the study of the active substances and its mechanism of action.
作者
吴耽
李莹
陈思颖
唐娟
李月婷
潘洁
黄勇
郑林
王爱民
李勇军
兰燕宇
巩仔鹏
WU Dan;LI Ying;CHEN Si-ying;TANG Juan;LI Yue-ting;PAN Jie;HUANG Yong;ZHENG Lin;WANG Ai-min;LI Yong-jun;LAN Yan-yu;GONG Zi-peng(Provincial Key Laboratory of Pharmaceutics in Guizhou,State Key Laboratory of Functions and Applications of Medicinal Plants,Guizhou Provincial Engineering Research Center for the Development and Application of Ethnic Medicine and Traditional Chinese Medicine,School of Pharmacy,Guizhou Medical University,Guiyang 550004,China)
出处
《中国中药杂志》
CAS
CSCD
北大核心
2020年第13期3220-3227,共8页
China Journal of Chinese Materia Medica
基金
国家自然科学基金项目(81560693,U1812403)
贵州省民族药药效物质基础研究科技创新人才团队项目(黔科合平台人才[2016]5613)
贵阳市科研创新团队项目(筑科合同[2017]30-29号)
中央引导地方科技专项项目(黔科中引地[2018]4006)
贵州省科技厅人才团队项目(黔科合平台人才[2016]5613/5677)。
