Multiplexed Targeted Quantitative Proteomics Predicts Hepatic Glucuronidation Potential

被引:40
|
作者
Margaillan, Guillaume [1 ,2 ]
Rouleau, Michele [1 ,2 ]
Klein, Kathrin [3 ,4 ]
Fallon, John K. [5 ]
Caron, Patrick [1 ,2 ]
Villeneuve, Lyne [1 ,2 ]
Smith, Philip C. [5 ]
Zanger, Ulrich M. [3 ,4 ]
Guillemette, Chantal [1 ,2 ,6 ]
机构
[1] CHU Quebec, Pharmacogen Lab, Quebec City, PQ G1V 4G2, Canada
[2] Univ Laval, Fac Pharm, Quebec City, PQ, Canada
[3] Dr Margarete Fischer Bosch Inst Clin Pharmacol, Stuttgart, Germany
[4] Univ Tubingen, Tubingen, Germany
[5] Univ N Carolina, Eshelman Sch Pharm, Chapel Hill, NC USA
[6] Canada Res Chair Pharmacogen, Ottawa, ON, Canada
基金
美国国家卫生研究院; 加拿大健康研究院;
关键词
URIDINE DIPHOSPHO-GLUCURONOSYLTRANSFERASES; ABSOLUTE PROTEIN QUANTIFICATION; TANDEM MASS-SPECTROMETRY; MESSENGER-RNA LEVELS; HUMAN LIVER; UDP-GLUCURONOSYLTRANSFERASES; TRANSFERASE; 1A; TISSUES; CYTOCHROME-P450; VARIANTS;
D O I
10.1124/dmd.115.065391
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Phase II metabolism is prominently governed by UDP-glucuronosyltransferases (UGTs) in humans. These enzymes regulate the bioactivity of many drugs and endogenous small molecules in many organs, including the liver, a major site of regulation by the glucuronidation pathway. This study determined the expression of hepatic UGTs by targeted proteomics in 48 liver samples and by measuring the glucuronidation activity using probe substrates. It demonstrates the sensitivity and accuracy of nano-ultra-performance liquid chromatography with tandem mass spectrometry to establish the complex expression profiles of 14 hepatic UGTs in a single analysis. UGT2B7 is the most abundant UGT in our collection of livers, expressed at 69 pmol/mg microsomal proteins, whereas UGT1A1, UGT1A4, UGT2B4, and UGT2B15 are similarly abundant, averaging 30-34 pmol/mg proteins. The average relative abundance of these five UGTs represents 81% of the measured hepatic UGTs. Our data further highlight the strong relationships in the expression of several UGTs. Most notably, UGT1A4 correlates with most measured UGTs, and the expression levels of UGT2B4/UGT2B7 displayed the strongest correlation. However, significant interindividual variability is observed for all UGTs, both at the level of enzyme concentrations and activity (coefficient of variation: 45%-184%). The reliability of targeted proteomics quantification is supported by the high correlation between UGT concentration and activity. Collectively, these findings expand our understanding of hepatic UGT profiles by establishing absolute hepatic concentrations of 14 UGTs and further suggest coregulated expression between most abundant hepatic UGTs. Data support the value of multiplexed targeted quantitative proteomics to accurately assess specific UGT concentrations in liver samples and hepatic glucuronidation potential.
引用
收藏
页码:1331 / 1335
页数:5
相关论文
共 50 条
  • [21] PeptideClassifier for protein inference and targeted quantitative proteomics
    Qeli, Ermir
    Ahrens, Christian H.
    NATURE BIOTECHNOLOGY, 2010, 28 (07) : 647 - 650
  • [22] PeptideClassifier for protein inference and targeted quantitative proteomics
    Ermir Qeli
    Christian H Ahrens
    Nature Biotechnology, 2010, 28 : 647 - 650
  • [23] Multiplexed targeted proteomics signature for serum diagnostic of malignant pleural mesothelioma
    Cerciello, F.
    Choi, M.
    Lomeo, K.
    Amann, J. M.
    Felley-Bosco, E.
    Stahel, R. A.
    Robinson, B.
    Creaney, J.
    Pass, H. I.
    Vitek, O.
    Carbone, D. P.
    ANNALS OF ONCOLOGY, 2017, 28
  • [24] Quantitative targeted proteomics for the analysis of cellular networks
    Picotti, P.
    FEBS JOURNAL, 2010, 277 : 24 - 24
  • [25] Global and targeted quantitative proteomics for biomarker discovery
    Veenstra, Timothy D.
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2007, 847 (01): : 3 - 11
  • [26] Multiplexed targeted proteomics of biomarkers for lung cancer treatment selection.
    Reddy, Sudhir Putty
    Alontaga, Aileen
    Stewart, Paul A.
    Welsh, Eric
    Saeed, Lamees
    Darville, Lancia N. F.
    Fang, Bin
    Eschrich, Steven A.
    Haura, Eric B.
    Boyle, Theresa A.
    Koomen, John M.
    CANCER RESEARCH, 2022, 82 (12)
  • [27] A Multiplexed Urinary Biomarker Panel Has Potential for Alzheimer's Disease Diagnosis Using Targeted Proteomics and Machine Learning
    Hallqvist, Jenny
    Pinto, Rui C.
    Heywood, Wendy E.
    Cordey, Jonjo
    Foulkes, Alexander J. M.
    Slattery, Catherine F.
    Leckey, Claire A.
    Murphy, Eimear C.
    Zetterberg, Henrik
    Schott, Jonathan M.
    Mills, Kevin
    Paterson, Ross W.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (18)
  • [28] HyperQuant-A Computational Pipeline for Higher Order Multiplexed Quantitative Proteomics
    Aggarwal, Suruchi
    Kumar, Ajay
    Jamwal, Shilpa
    Midha, Mukul Kumar
    Talukdar, Narayan Chandra
    Yadav, Amit Kumar
    ACS OMEGA, 2020, 5 (19): : 10857 - 10867
  • [29] Rainbow's end: the quest for multiplexed fluorescence quantitative analysis in proteomics
    Patton, WF
    Beechem, JM
    CURRENT OPINION IN CHEMICAL BIOLOGY, 2002, 6 (01) : 63 - 69
  • [30] Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
    Vipin Kumar
    Sandipan Ray
    Shalini Aggarwal
    Deeptarup Biswas
    Manali Jadhav
    Radha Yadav
    Sanjeev V. Sabnis
    Soumaditya Banerjee
    Arunansu Talukdar
    Sanjay K. Kochar
    Suvin Shetty
    Kunal Sehgal
    Swati Patankar
    Sanjeeva Srivastava
    Communications Biology, 3