人体肝脏中药物蛋白加合物的检测和定量

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-23 DOI:10.1021/acs.jproteome.4c0066310.1021/acs.jproteome.4c00663
Alex Zelter, Michael Riffle, David D. Shteynberg, Guo Zhong, Ellen B. Riddle, Michael R. Hoopmann, Daniel Jaschob, Robert L. Moritz, Trisha N. Davis, Michael J. MacCoss and Nina Isoherranen*, 
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引用次数: 0

摘要

药物或其活性代谢物形成的共价蛋白质加合物是导致不良反应和细胞色素 P450(CYP)酶失活的危险因素。由于缺乏识别和定量复杂基质中共价加合物的方法,药物-蛋白质加合物的表征受到了限制。本研究介绍了一种基于液相色谱-串联质谱(LC-MS/MS)的工作流程,该流程结合了数据依赖性采集(DDA)和数据非依赖性采集(DIA),可检测人肝微粒体(HLMs)中由 CYP 介导的药物代谢产生的极低丰度加合物。以雷洛昔芬为模型化合物对 HLMs 进行培养,在 78 种蛋白质(包括 CYP3A 和 CYP2C 家族酶)中检测到了加合物。用重组 CYP3A 和 CYP2C 酶进行的实验证实,在所有测试的 CYPs 中都有加合物形成,包括不受雷洛昔芬时间依赖性抑制的 CYPs。这些数据表明加合物可能是良性的。DIA 分析表明,不同肝脏中许多肽的加合物丰度不同,但未加合物肽的含量并没有随之减少。这项研究为复杂样本中的加合物检测设定了新标准,有助于深入了解人体因暴露于活性代谢物而产生的加合物组。该方法有助于机理研究,以识别、量化和区分导致药物不良反应的加合物和良性加合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Detection and Quantification of Drug–Protein Adducts in Human Liver

Covalent protein adducts formed by drugs or their reactive metabolites are risk factors for adverse reactions, and inactivation of cytochrome P450 (CYP) enzymes. Characterization of drug–protein adducts is limited due to lack of methods identifying and quantifying covalent adducts in complex matrices. This study presents a workflow that combines data-dependent and data-independent acquisition (DDA and DIA) based liquid chromatography with tandem mass spectrometry (LC-MS/MS) to detect very low abundance adducts resulting from CYP mediated drug metabolism in human liver microsomes (HLMs). HLMs were incubated with raloxifene as a model compound and adducts were detected in 78 proteins, including CYP3A and CYP2C family enzymes. Experiments with recombinant CYP3A and CYP2C enzymes confirmed adduct formation in all CYPs tested, including CYPs not subject to time-dependent inhibition by raloxifene. These data suggest adducts can be benign. DIA analysis showed variable adduct abundance in many peptides between livers, but no concomitant decrease of unadducted peptides. This study sets a new standard for adduct detection in complex samples, offering insights into the human adductome resulting from reactive metabolite exposure. The methodology presented will aid mechanistic studies to identify, quantify and differentiate between adducts that result in adverse drug reactions and those that are benign.

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CiteScore
7.20
自引率
4.30%
发文量
567
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