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使用非靶向代谢组学和分子网络技术重新审视大鼠体内多奈哌齐的代谢情况。

Revisiting the Metabolism of Donepezil in Rats Using Non-Targeted Metabolomics and Molecular Networking.

作者信息

Park Eun-Ji, Kim Eui-Hyeon, Kim Ki-Young, Jeon Ji-Hyeon, Song Im-Sook, Park So-Young, 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, Republic of Korea.

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

出版信息

Pharmaceutics. 2025 Jan 15;17(1):115. doi: 10.3390/pharmaceutics17010115.

Abstract

: Although donepezil, a reversible acetylcholinesterase inhibitor, has been in use since 1996, its metabolic characteristics remain poorly characterized. Therefore, this study aims to investigate the in vivo metabolism of donepezil using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) based on a molecular networking (MN) approach integrated with a non-targeted metabolomics approach. : After the oral administration of donepezil (30 mg/kg) in rats, urine, feces, and liver samples were collected for LC-HRMS analysis. Chromatographic and spectrometric data were processed through MN and multivariate data analysis to identify the in vivo metabolites of donepezil. : A total of 50 metabolites were characterized, including 23 newly identified metabolites. Donepezil was biotransformed by demethylation, debenzylation, and hydroxylation, and these metabolites are further conjugated with glucuronic acid and sulfurous acid. Desbenzyldonepezil (), didesmethyldonepezil (), and desbenzyldonepezil () were identified as the most abundant metabolites in urine, feces, and liver samples, respectively. : The metabolic characteristics of donepezil in rats were comparable to those in humans, indicating that a rat is a reliable model for studying donepezil metabolism. This study indicates that a MN approach combined with a metabolomics approach is a reliable tool to identify unknown metabolites of drugs and drug candidates.

摘要

尽管可逆性乙酰胆碱酯酶抑制剂多奈哌齐自1996年起就已投入使用,但其代谢特征仍未得到充分表征。因此,本研究旨在基于分子网络(MN)方法并结合非靶向代谢组学方法,使用液相色谱-高分辨率质谱(LC-HRMS)研究多奈哌齐的体内代谢情况。

在大鼠口服多奈哌齐(30 mg/kg)后,收集尿液、粪便和肝脏样本进行LC-HRMS分析。通过MN和多变量数据分析对色谱和光谱数据进行处理,以鉴定多奈哌齐的体内代谢产物。

共鉴定出50种代谢产物,其中包括23种新鉴定的代谢产物。多奈哌齐通过去甲基化、去苄基化和羟基化进行生物转化,这些代谢产物进一步与葡萄糖醛酸和亚硫酸结合。去苄基多奈哌齐()、双去甲基多奈哌齐()和去苄基多奈哌齐()分别被鉴定为尿液、粪便和肝脏样本中含量最高的代谢产物。

多奈哌齐在大鼠体内的代谢特征与人类相似,表明大鼠是研究多奈哌齐代谢的可靠模型。本研究表明,MN方法与代谢组学方法相结合是鉴定药物和候选药物未知代谢产物的可靠工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3176/11769037/afdb6b858455/pharmaceutics-17-00115-g001.jpg

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