广告
葡萄糖醛酸转移酶
药物代谢
细胞色素P450
药品
CYP3A4型
药理学
酶
生物
代谢途径
生物化学
化学
微粒体
作者
Xiaofeng Wu,Menchus Quan,Marco Hadisurya,Jianzhong Hu,Yi‐Kai Liu,Yuxin Zhuang,Li Li,Anton Iliuk,Jun Yang,Shihuan Kuang,W. Andy Tao
出处
期刊:PNAS nexus
[Oxford University Press]
日期:2024-01-23
卷期号:3 (2)
被引量:2
标识
DOI:10.1093/pnasnexus/pgae023
摘要
Abstract The ability to monitor the response of metabolic enzymes to drug exposure in individuals is highly appealing and critical to personalized medicine. Although pharmacogenomics assesses genotypic differences, it does not report changes in metabolic enzyme activities due to environmental factors such as drug interactions. Here, we report a quantitative proteomics strategy to monitor drug metabolic pathways by profiling metabolic enzymes in circulating extracellular vesicles (EVs) upon drug exposure. Mass spectrometry (MS)-based measurement revealed that changes in metabolic enzyme abundance in EVs paralleled those in hepatic cells isolated from liver tissue. Coupling with multiplexed isotopic labeling, we temporally quantified 34 proteins involved in drug absorption, distribution, metabolism, and excretion (ADME) pathways. Out of 44 known ADME proteins in plasma EVs, previously annotated mouse cytochrome P450 3A11 (Cyp3a11), homolog to human CYP3A4, and uridine 5'-diphospho (UDP) glucuronosyltransferase 2A3 (Ugt2a3), increased upon daily rifampicin dosage. Dasatinib, a tyrosine kinase inhibitor to treat leukemia, also elevated Cyp3a11 levels in plasma EVs, but to a lesser extent. Altogether, this study demonstrates that measuring drug enzymes in circulating EVs as an effective surrogate is highly feasible and may transform today's drug discovery and development for personalized medicine.
科研通智能强力驱动
Strongly Powered by AbleSci AI