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使用非靶向代谢组学研究多奈哌齐在肝微粒体中的体外代谢

In Vitro Metabolism of Donepezil in Liver Microsomes Using Non-Targeted Metabolomics.

作者信息

Kim Sin-Eun, Seo Hyung-Ju, Jeong Yeojin, Lee Gyung-Min, Ji Seung-Bae, Park So-Young, Wu Zhexue, Lee Sangkyu, Kim Sunghwan, Liu Kwang-Hyeon

机构信息

BK21 FOUR KNU Community-Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea.

Mass Spectrometry Based Convergence Research Institute, Kyungpook National University, Daegu 41566, Korea.

出版信息

Pharmaceutics. 2021 Jun 23;13(7):936. doi: 10.3390/pharmaceutics13070936.

DOI:10.3390/pharmaceutics13070936
PMID:34201744
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8309179/
Abstract

Donepezil is a reversible acetylcholinesterase inhibitor that is currently the most commonly prescribed drug for the treatment of Alzheimer's disease. In general, donepezil is known as a safe and well-tolerated drug, and it was not associated with liver abnormalities in several clinical trials. However, rare cases of drug-related liver toxicity have been reported since it has become commercially available. Few studies have investigated the metabolic profile of donepezil, and the mechanism of liver damage caused by donepezil has not been elucidated. In this study, the in vitro metabolism of donepezil was investigated using liquid chromatography-tandem mass spectrometry based on a non-targeted metabolomics approach. To identify metabolites, the data were subjected to multivariate data analysis and molecular networking. A total of 21 donepezil metabolites (17 in human liver microsomes, 21 in mice liver microsomes, and 17 in rat liver microsomes) were detected including 14 newly identified metabolites. One potential reactive metabolite was identified in rat liver microsomal incubation samples. Metabolites were formed through four major metabolic pathways: (1) -demethylation, (2) hydroxylation, (3) -oxidation, and (4) -debenzylation. This study indicates that a non-targeted metabolomics approach combined with molecular networking is a reliable tool to identify and detect unknown drug metabolites.

摘要

多奈哌齐是一种可逆性乙酰胆碱酯酶抑制剂,目前是治疗阿尔茨海默病最常用的处方药。一般来说,多奈哌齐是一种安全且耐受性良好的药物,在多项临床试验中它与肝脏异常无关。然而,自其上市以来,已有罕见的药物相关肝毒性病例报告。很少有研究调查多奈哌齐的代谢谱,且多奈哌齐引起肝损伤的机制尚未阐明。在本研究中,基于非靶向代谢组学方法,采用液相色谱 - 串联质谱法研究了多奈哌齐的体外代谢。为鉴定代谢物,对数据进行了多变量数据分析和分子网络分析。共检测到21种多奈哌齐代谢物(人肝微粒体中17种、小鼠肝微粒体中21种、大鼠肝微粒体中17种),包括14种新鉴定的代谢物。在大鼠肝微粒体孵育样品中鉴定出一种潜在的反应性代谢物。代谢物通过四种主要代谢途径形成:(1)N - 去甲基化,(2)羟基化,(3)ω - 氧化,和(4)O - 去苄基化。本研究表明,非靶向代谢组学方法与分子网络分析相结合是鉴定和检测未知药物代谢物的可靠工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/08efc6bcb1c3/pharmaceutics-13-00936-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/e0865bab788f/pharmaceutics-13-00936-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/d6a8a0c0c70e/pharmaceutics-13-00936-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/0a02088b9f20/pharmaceutics-13-00936-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/090e68ca4c81/pharmaceutics-13-00936-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/ab13b6ff7ec7/pharmaceutics-13-00936-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/fcf4cd4ed1fb/pharmaceutics-13-00936-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/ca694ac7217a/pharmaceutics-13-00936-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/08efc6bcb1c3/pharmaceutics-13-00936-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/e0865bab788f/pharmaceutics-13-00936-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/d6a8a0c0c70e/pharmaceutics-13-00936-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/0a02088b9f20/pharmaceutics-13-00936-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/090e68ca4c81/pharmaceutics-13-00936-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/ab13b6ff7ec7/pharmaceutics-13-00936-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/fcf4cd4ed1fb/pharmaceutics-13-00936-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/ca694ac7217a/pharmaceutics-13-00936-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd4/8309179/08efc6bcb1c3/pharmaceutics-13-00936-g008.jpg

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本文引用的文献

1
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Nat Protoc. 2020 Jun;15(6):1954-1991. doi: 10.1038/s41596-020-0317-5. Epub 2020 May 13.
2
Is there enough evidence to classify cycloalkyl amine substituents as structural alerts?是否有足够的证据将环烷基胺取代基分类为结构警示剂?
Biochem Pharmacol. 2020 Apr;174:113796. doi: 10.1016/j.bcp.2020.113796. Epub 2020 Jan 10.
3
Simultaneous determination of donepezil, 6-O-desmethyl donepezil and spinosin in beagle dog plasma using liquid chromatography‒tandem mass spectrometry and its application to a drug-drug interaction study.
通过代谢组学评估新药的潜在肝毒性。
Front Pharmacol. 2023 May 5;14:1155271. doi: 10.3389/fphar.2023.1155271. eCollection 2023.
4
Identifying xenobiotic metabolites with prediction tools and LCMS suspect screening analysis.使用预测工具和液相色谱-质谱联用可疑物筛查分析来鉴定外源性代谢物。
Front Toxicol. 2023 Jan 18;5:1051483. doi: 10.3389/ftox.2023.1051483. eCollection 2023.
采用液相色谱-串联质谱法同时测定犬血浆中多奈哌齐、6-O-去甲多奈哌齐和斯皮诺辛及其在药物相互作用研究中的应用。
J Pharm Biomed Anal. 2020 Jan 30;178:112919. doi: 10.1016/j.jpba.2019.112919. Epub 2019 Oct 13.
4
Mechanisms of idiosyncratic drug-induced liver injury.特异质性药物性肝损伤的机制
Adv Pharmacol. 2019;85:133-163. doi: 10.1016/bs.apha.2018.12.001. Epub 2019 Jan 18.
5
Cholinesterase inhibitors as Alzheimer's therapeutics (Review).胆碱酯酶抑制剂作为阿尔茨海默病的治疗药物(综述)。
Mol Med Rep. 2019 Aug;20(2):1479-1487. doi: 10.3892/mmr.2019.10374. Epub 2019 Jun 11.
6
MS-Based Molecular Networking of Designer Drugs as an Approach for the Detection of Unknown Derivatives for Forensic and Doping Applications: A Case of NBOMe Derivatives.基于 MS 的设计药物分子网络作为法医和兴奋剂应用中未知衍生物检测的方法:以 NBOMe 衍生物为例。
Anal Chem. 2019 May 7;91(9):5483-5488. doi: 10.1021/acs.analchem.9b00294. Epub 2019 Apr 18.
7
Identification and characterization of in vivo, in vitro and reactive metabolites of vandetanib using LC-ESI-MS/MS.使用液相色谱-电喷雾串联质谱法(LC-ESI-MS/MS)对凡德他尼的体内、体外及活性代谢产物进行鉴定与表征。
Chem Cent J. 2018 Sep 24;12(1):99. doi: 10.1186/s13065-018-0467-5.
8
Drug metabolism in drug discovery and development.药物发现与开发中的药物代谢
Acta Pharm Sin B. 2018 Sep;8(5):721-732. doi: 10.1016/j.apsb.2018.04.003. Epub 2018 Apr 12.
9
Drug metabolism and metabolite safety assessment in drug discovery and development.药物发现和开发中的药物代谢和代谢产物安全性评估。
Expert Opin Drug Metab Toxicol. 2018 Oct;14(10):1071-1085. doi: 10.1080/17425255.2018.1519546. Epub 2018 Sep 14.
10
Identification and characterization of amiodarone metabolites in rats using UPLC-ESI-QTOFMS-based untargeted metabolomics approach.采用基于 UPLC-ESI-QTOFMS 的非靶向代谢组学方法鉴定和表征大鼠体内胺碘酮的代谢物。
J Toxicol Environ Health A. 2018;81(12):481-492. doi: 10.1080/15287394.2018.1460783. Epub 2018 Apr 11.