Literature DB >> 31900930

Normalized Testosterone Glucuronide as a Potential Urinary Biomarker for Highly Variable UGT2B17 in Children 7-18 Years.

Haeyoung Zhang1, Abdul Basit1, Chris Wolford1, Kuan-Fu Chen1, Andrea Gaedigk2, Yvonne S Lin1, J Steven Leeder2, Bhagwat Prasad1.   

Abstract

UDP-glucuronosyltransferase 2B17 (UGT2B17) is a highly variable androgen-metabolizing and drug-metabolizing enzyme. UGT2B17 exhibits a unique ontogeny profile characterized by a dramatic increase in hepatic protein expression from prepubertal age to adulthood. Age, sex, copy number variation (CNV), and single nucleotide polymorphisms only explain 26% of variability in protein expression, highlighting the need for a phenotypic biomarker for predicting interindividual variability in glucuronidation of UGT2B17 substrates. Here, we propose testosterone glucuronide (TG) normalized by androsterone glucuronide (TG/AG) as a urinary UGT2B17 biomarker, and examine the associations among urinary TG/AG and age, sex, and CNV. We performed targeted metabolomics of 12 androgen conjugates with liquid-chromatography tandem mass spectrometry in 63 pediatric subjects ages 7-18 years followed over 7 visits in 3 years. Consistent with the reported developmental trajectory of UGT2B17 protein expression, urinary TG/AG is significantly associated with age, sex, and CNV. In conclusion, TG/AG shows promise as a phenotypic urinary UGT2B17 biomarker.
© 2020 The Authors Clinical Pharmacology & Therapeutics © 2020 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2020        PMID: 31900930      PMCID: PMC7167343          DOI: 10.1002/cpt.1764

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  48 in total

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2.  Use of micro-HPLC-MS/MS method to assess diurnal effects on steroid hormones.

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8.  The UDP-glucuronosyltransferase 2B17 gene deletion polymorphism: sex-specific association with urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol glucuronidation phenotype and risk for lung cancer.

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10.  Diurnal Variation of Hormonal and Lipid Biomarkers in a Molecular Epidemiology-Like Setting.

Authors:  Linda W M van Kerkhof; Kirsten C G Van Dycke; Eugene H J M Jansen; Piet K Beekhof; Conny T M van Oostrom; Tatjana Ruskovska; Nevenka Velickova; Nikola Kamcev; Jeroen L A Pennings; Harry van Steeg; Wendy Rodenburg
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

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2.  Metabolomics reveals biomarkers in human urine and plasma to predict cytochrome P450 2D6 (CYP2D6) activity.

Authors:  Gaëlle Magliocco; Jules Desmeules; Alain Matthey; Luis M Quirós-Guerrero; Nasim Bararpour; Timothée Joye; Laurence Marcourt; Emerson F Queiroz; Jean-Luc Wolfender; Yvonne Gloor; Aurélien Thomas; Youssef Daali
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  2 in total

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