Literature DB >> 24647041

Functional characterization of wild-type and 49 CYP2D6 allelic variants for N-desmethyltamoxifen 4-hydroxylation activity.

Yuka Muroi1, Takahiro Saito, Masamitsu Takahashi, Kanako Sakuyama, Yui Niinuma, Miyabi Ito, Chiharu Tsukada, Kiminori Ohta, Yasuyuki Endo, Akifumi Oda, Noriyasu Hirasawa, Masahiro Hiratsuka.   

Abstract

Genetic variations in cytochrome P450 2D6 (CYP2D6) contribute to interindividual variability in the metabolism of clinically used drugs, e.g., tamoxifen. CYP2D6 is genetically polymorphic and is associated with large interindividual variations in therapeutic efficacy and drug toxicity. In this study, we performed an in vitro analysis of 50 allelic variants of CYP2D6 proteins. Wild-type CYP2D6.1 and 49 variants were transiently expressed in COS-7 cells, and the enzymatic activities of the CYP2D6 variants were characterized using N-desmethyltamoxifen as a substrate. The kinetic parameters K(m), V(max), and intrinsic clearance (V(max)/K(m)) of N-desmethyltamoxifen 4-hydroxylation were determined. Among the 50 CYP2D6 variants, the kinetic parameters for N-desmethyltamoxifen 4-hydroxylation were determined for 20 CYP2D6 variants. On the other hand, the kinetic parameters of 30 CYP2D6 variants could not be determined because the amount of metabolite produced was at or below the detection limit at the lower substrate concentrations. Among them, 8 variants, i.e., CYP2D6.2, .9, .26, .28, .32, .43, .45, and .70, showed decreased intrinsic clearance at <50% of CYP2D6.1. The comprehensive in vitro assessment of CYP2D6 variants provides novel insights into allele-specific activity towards tamoxifen and may be valuable when interpreting in vivo studies.

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Year:  2014        PMID: 24647041     DOI: 10.2133/dmpk.dmpk-14-rg-014

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  12 in total

1.  In vivo assessment of the metabolic activity of CYP2D6 diplotypes and alleles.

Authors:  Daniel L Hertz; Anna C Snavely; Howard L McLeod; Christine M Walko; Joseph G Ibrahim; Steven Anderson; Karen E Weck; Gustav Magrinat; Oludamilola Olajide; Susan Moore; Rachel Raab; Daniel R Carrizosa; Steven Corso; Garry Schwartz; Jeffrey M Peppercorn; James P Evans; David R Jones; Zeruesenay Desta; David A Flockhart; Lisa A Carey; William J Irvin
Journal:  Br J Clin Pharmacol       Date:  2015-08-02       Impact factor: 4.335

2.  CYP2D6 Allelic Variants *34, *17-2, *17-3, and *53 and a Thr309Ala Mutant Display Altered Kinetics and NADPH Coupling in Metabolism of Bufuralol and Dextromethorphan and Altered Susceptibility to Inactivation by SCH 66712.

Authors:  Sarah M Glass; Cydney M Martell; Alexandria K Oswalt; Victoria Osorio-Vasquez; Christi Cho; Michael J Hicks; Jacqueline M Mills; Rina Fujiwara; Michael J Glista; Sharat S Kamath; Laura Lowe Furge
Journal:  Drug Metab Dispos       Date:  2018-05-21       Impact factor: 3.922

Review 3.  Keeping pace with CYP2D6 haplotype discovery: innovative methods to assign function.

Authors:  Karen E Brown; Jack W Staples; Erica L Woodahl
Journal:  Pharmacogenomics       Date:  2022-01-27       Impact factor: 2.533

4.  Determination of novel CYP2D6 haplotype using the targeted sequencing followed by the long-read sequencing and the functional characterization in the Japanese population.

Authors:  Koya Fukunaga; Eiji Hishinuma; Masahiro Hiratsuka; Ken Kato; Takuji Okusaka; Takeo Saito; Masashi Ikeda; Teruhiko Yoshida; Hitoshi Zembutsu; Nakao Iwata; Taisei Mushiroda
Journal:  J Hum Genet       Date:  2020-08-05       Impact factor: 3.172

5.  CYP2D6 Protein Level Is the Major Contributor to Interindividual Variability in CYP2D6-Mediated Drug Metabolism in Healthy Human Liver Tissue.

Authors:  Miaoran Ning; Julio D Duarte; Leah H Rubin; Hyunyoung Jeong
Journal:  Clin Pharmacol Ther       Date:  2018-02-13       Impact factor: 6.875

6.  Resolving discordant CYP2D6 genotyping results in Thai subjects: platform limitations and novel haplotypes.

Authors:  Yaowaluck Hongkaew; Wendy Y Wang; Roger Gaedigk; Chonlaphat Sukasem; Andrea Gaedigk
Journal:  Pharmacogenomics       Date:  2021-05-17       Impact factor: 2.638

7.  Transfer learning enables prediction of CYP2D6 haplotype function.

Authors:  Gregory McInnes; Rachel Dalton; Katrin Sangkuhl; Michelle Whirl-Carrillo; Seung-Been Lee; Philip S Tsao; Andrea Gaedigk; Russ B Altman; Erica L Woodahl
Journal:  PLoS Comput Biol       Date:  2020-11-02       Impact factor: 4.475

8.  Molecular Dynamics Simulations to Investigate the Influences of Amino Acid Mutations on Protein Three-Dimensional Structures of Cytochrome P450 2D6.1, 2, 10, 14A, 51, and 62.

Authors:  Shuichi Fukuyoshi; Masaharu Kometani; Yurie Watanabe; Masahiro Hiratsuka; Noriyuki Yamaotsu; Shuichi Hirono; Noriyoshi Manabe; Ohgi Takahashi; Akifumi Oda
Journal:  PLoS One       Date:  2016-04-05       Impact factor: 3.240

9.  Spontaneous Ligand Access Events to Membrane-Bound Cytochrome P450 2D6 Sampled at Atomic Resolution.

Authors:  André Fischer; Martin Smieško
Journal:  Sci Rep       Date:  2019-11-11       Impact factor: 4.379

10.  A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants.

Authors:  Maria-Theodora Pandi; Maria Koromina; Iordanis Tsafaridis; Sotirios Patsilinakos; Evangelos Christoforou; Peter J van der Spek; George P Patrinos
Journal:  Hum Genomics       Date:  2021-08-09       Impact factor: 4.639

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