Literature DB >> 14529366

Atypical enzyme kinetics: their effect on in vitro-in vivo pharmacokinetic predictions and drug interactions.

Timothy S Tracy1.   

Abstract

The most common method for estimating a drug's in vivo clearance from in vitro data has involved using the classical Michaelis-Menten model to describe the observed in vitro data and from this estimate intrinsic clearance. This process assumes that the drug obeys standard enzyme kinetics that can be described by this model. However, the observation of atypical enzyme kinetics, particularly involving cytochrome P450 enzymes, has become relatively common, and occurrences have been reported with virtually all of the cytochrome P450 isoforms. Since predictions of a drug's in vivo clearance are made based on kinetic parameters observed during in vitro experiments (in vitro estimated intrinsic clearance), mis-identification of the drug's kinetic profile can lead to inaccurate predictions of intrinsic clearance. In addition to these potential ramifications of in vitro-in vivo predictions, information is becoming available concerning the in vivo implications of drugs that exhibit atypical kinetic profiles. This review will discuss the various types of atypical kinetic profiles that may be observed during in vitro experiments, hypotheses for why they may occur, examples of how a drug's intrinsic clearance may be mis-estimated when atypical kinetics are incorrectly assessed, and the potential ramifications of these issues for prediction of drug interactions. Furthermore, potential, artifactual causes of atypical kinetic phenomena will be described.

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Year:  2003        PMID: 14529366     DOI: 10.2174/1389200033489280

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  10 in total

1.  Fundamentals of Enzyme Kinetics: Michaelis-Menten and Non-Michaelis-Type (Atypical) Enzyme Kinetics.

Authors:  Eleanore Seibert; Timothy S Tracy
Journal:  Methods Mol Biol       Date:  2021

2.  Substrate-dependent modulation of the catalytic activity of CYP3A by erlotinib.

Authors:  Pei-pei Dong; Zhong-ze Fang; Yan-yan Zhang; Guang-bo Ge; Yu-xi Mao; Liang-liang Zhu; Yan-qing Qu; Wei Li; Li-ming Wang; Chang-xiao Liu; Ling Yang
Journal:  Acta Pharmacol Sin       Date:  2011-03       Impact factor: 6.150

3.  Surface plasmon resonance analysis of antifungal azoles binding to CYP3A4 with kinetic resolution of multiple binding orientations.

Authors:  Josh T Pearson; John J Hill; Jennifer Swank; Nina Isoherranen; Kent L Kunze; William M Atkins
Journal:  Biochemistry       Date:  2006-05-23       Impact factor: 3.162

4.  Biological evaluation of tubulysin A: a potential anticancer and antiangiogenic natural product.

Authors:  Gurmeet Kaur; Melinda Hollingshead; Susan Holbeck; Vesna Schauer-Vukasinović; Richard F Camalier; Alexander Dömling; Seema Agarwal
Journal:  Biochem J       Date:  2006-06-01       Impact factor: 3.857

5.  Variability in Human In Vitro Enzyme Kinetics.

Authors:  Christopher R Gibson; Ying-Hong Wang; Ninad Varkhede; Bennett Ma
Journal:  Methods Mol Biol       Date:  2021

6.  A suite of activity-based probes for human cytochrome P450 enzymes.

Authors:  Aaron T Wright; Joongyu D Song; Benjamin F Cravatt
Journal:  J Am Chem Soc       Date:  2009-08-05       Impact factor: 15.419

7.  Digging Deeper into CYP3A Testosterone Metabolism: Kinetic, Regioselectivity, and Stereoselectivity Differences between CYP3A4/5 and CYP3A7.

Authors:  Sylvie E Kandel; Lyrialle W Han; Qingcheng Mao; Jed N Lampe
Journal:  Drug Metab Dispos       Date:  2017-10-06       Impact factor: 3.922

8.  American Thyroid Association Guide to investigating thyroid hormone economy and action in rodent and cell models.

Authors:  Antonio C Bianco; Grant Anderson; Douglas Forrest; Valerie Anne Galton; Balázs Gereben; Brian W Kim; Peter A Kopp; Xiao Hui Liao; Maria Jesus Obregon; Robin P Peeters; Samuel Refetoff; David S Sharlin; Warner S Simonides; Roy E Weiss; Graham R Williams
Journal:  Thyroid       Date:  2013-12-12       Impact factor: 6.568

9.  Involvement of UDP-glucuronosyltransferases in the extensive liver and intestinal first-pass metabolism of flavonoid baicalein.

Authors:  Li Zhang; Ge Lin; Zhong Zuo
Journal:  Pharm Res       Date:  2006-11-16       Impact factor: 4.580

10.  Metabolism of BYZX in human liver microsomes and cytosol: identification of the metabolites and metabolic pathways of BYZX.

Authors:  Lushan Yu; Yan Jiang; Lu Wang; Rong Sheng; Yongzhou Hu; Su Zeng
Journal:  PLoS One       Date:  2013-03-29       Impact factor: 3.240

  10 in total

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