基于液相色谱-高分辨质谱技术和多重质量亏损过滤技术的大鼠血浆中大黄素代谢产物鉴定
投稿时间:2019-09-23     点此下载全文
引用本文:程慧玲,陈佳云,朱春艳,韩璐营,努尔斯曼古丽·阿布都艾尼,付东鹏,吴彩胜.基于液相色谱-高分辨质谱技术和多重质量亏损过滤技术的大鼠血浆中大黄素代谢产物鉴定[J].中国现代中药,2020,22(12):1985-1990
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作者中文名作者英文名单位中文名单位英文名E-Mail
程慧玲 CHENG Hui-ling 厦门大学 药学院,福建厦门361002 School of Pharmaceutical Sciences,Xiamen University,Xiamen 361002,China  
陈佳云 CHEN Jia-yun 厦门大学 药学院,福建厦门361002 School of Pharmaceutical Sciences,Xiamen University,Xiamen 361002,China  
朱春艳 ZHU Chun-yan 厦门大学 药学院,福建厦门361002 School of Pharmaceutical Sciences,Xiamen University,Xiamen 361002,China  
韩璐营 HAN Lu-ying 佳木斯大学 药学院,黑龙江佳木斯154007 College of Pharmacy,Jiamusi University,Jiamusi 154007,China  
努尔斯曼古丽·阿布都艾尼 ABUDUAINI Nu-er-si-man-gu-li 厦门大学 药学院,福建厦门361002 School of Pharmaceutical Sciences,Xiamen University,Xiamen 361002,China  
付东鹏 FU Dong-peng 厦门大学 药学院,福建厦门361002 School of Pharmaceutical Sciences,Xiamen University,Xiamen 361002,China  
吴彩胜 WU Cai-sheng 厦门大学 药学院,福建厦门361002 School of Pharmaceutical Sciences,Xiamen University,Xiamen 361002,China 吴彩胜,副教授,研究方向:药物分析与药物代谢;E-mail:wucsh@xmu.edu.cn 
基金项目:厦门大学大学生创新创业训练计划项目(103842017209);福建省自然科学基金面上项目(2017J01144)
中文摘要:目的:利用高效液相色谱-高分辨质谱法(HPLC-HRMS)和多重质量亏损过滤法(MMDF)识别和鉴定大鼠血浆中大黄素的代谢产物。方法:利用HPLC-HRMS技术自动采集生物样品中化合物的高分辨质谱数据集;采用高分辨提取离子流(HREIC)提取可能的大黄素可预知代谢产物;根据可预知代谢产物的结果,采用MMDF将体内高暴露量的4个可预知代谢物(M9、M11、M15和M18)与大黄素作为模板化合物,采用窄范围过滤(质量数:±100,质量亏损过滤范围:±0.025),进行不可预知的代谢产物分析。结果:快速识别并鉴定了大黄素的18个代谢物,其中3个(M4、M13和M16)为首次发现。与传统的质量亏损过滤(MDF)技术相比,该方法能够更显著地降低假阳性结果。结论:建立了一种简便、可靠、高效率的大黄素体内代谢物鉴定方法,证实大黄素主要代谢途径为葡萄糖醛酸化、磺酸化等结合反应,为大黄素体内研究提供参考。
中文关键词:大黄素  高效液相色谱-高分辨质谱技术  多重质量亏损过滤技术  代谢产物
 
Identification of Emodin Metabolites in vivo by HPLC-HRMS and MMDF Technique
Abstract:Objective:To discover and identify the metabolites of emodin in rat plasma by using high performance liquid chromatography-high resolution mass spectrometer (HPLC-HRMS) and multiple mass defect filter (MMDF) technology. Methods:HRMS datasets of compounds in the plasma samples were automatically collected by using HPLC-HRMS technology. High resolution-extracted ion chromatography (HREIC) was adopted to extract the possible predictable metabolites of emodin. According to the results of the predictable metabolites,MMDF technology was then used to conduct narrow-range filtering (mass number range:±100;mass defect filtering range:±0.025) by taking the four predictable metabolites with high exposure in vivo (M9,M11,M15 and M18) and emodin as template compounds,and unpredictable metabolites were analyzed. Results:18 metabolites were recognized and identified quickly,and 3 of them (M4,M13 and M16) were first found. Compared to traditional MDF technology,this method can cut down false positive results more significantly. Conclusion:In this study,a simple,reliable and efficient method for identifying in vivo metabolites of emodin was developed,and it was confirmed that the major metabolic pathways of emodin are glucuronic acid conjugation and sulfation,thus providing a basis for future studies on emodin. In addition,this method has a great potential in the analysis of in vivo metabolites of traditional Chinese medicines.
keywords:emodin  HPLC-HRMS  MMDF  metabolites
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