Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)-Based Proteomics of Drug-Metabolizing Enzymes and Transporters

被引:33
作者
Li, Jiapeng [1 ]
Zhu, Hao-Jie [1 ]
机构
[1] Univ Michigan, Dept Clin Pharm, Ann Arbor, MI 48109 USA
基金
美国国家卫生研究院;
关键词
proteomics; LC-MS; MS; drug-metabolizing enzymes; transporters; BLOOD-BRAIN-BARRIER; ABSOLUTE PROTEIN QUANTIFICATION; TARGETED QUANTITATIVE PROTEOMICS; HUMAN LIVER-MICROSOMES; LC-MS/MS; UDP-GLUCURONOSYLTRANSFERASES; INTERINDIVIDUAL VARIABILITY; CYTOCHROME-P450; ENZYMES; CARBOXYLESTERASES CES1; HUMAN PLASMA;
D O I
10.3390/molecules25112718
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomics is a powerful tool for identifying and quantifying proteins in biological samples, outperforming conventional antibody-based methods in many aspects. LC-MS/MS-based proteomics studies have revealed the protein abundances of many drug-metabolizing enzymes and transporters (DMETs) in tissues relevant to drug metabolism and disposition. Previous studies have consistently demonstrated marked interindividual variability in DMET protein expression, suggesting that varied DMET function is an important contributing factor for interindividual variability in pharmacokinetics (PK) and pharmacodynamics (PD) of medications. Moreover, differential DMET expression profiles were observed across different species and in vitro models. Therefore, caution must be exercised when extrapolating animal and in vitro DMET proteomics findings to humans. In recent years, DMET proteomics has been increasingly utilized for the development of physiologically based pharmacokinetic models, and DMET proteins have also been proposed as biomarkers for prediction of the PK and PD of the corresponding substrate drugs. In sum, despite the existence of many challenges in the analytical technology and data analysis methods of LC-MS/MS-based proteomics, DMET proteomics holds great potential to advance our understanding of PK behavior at the individual level and to optimize treatment regimens via the DMET protein biomarker-guided precision pharmacotherapy.
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页数:19
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