Literature DB >> 26869174

Evaluation of Time Dependent Inhibition Assays for Marketed Oncology Drugs: Comparison of Human Hepatocytes and Liver Microsomes in the Presence and Absence of Human Plasma.

Jialin Mao1, Suzanne Tay2, Cyrus S Khojasteh2, Yuan Chen2, Cornelis E C A Hop2, Jane R Kenny2.   

Abstract

PURPOSE: To evaluate an alternative in vitro system which can provide more quantitatively accurate drug drug interaction (DDI) prediction for 10 protein kinase inhibitors for which DDI risk was over-predicted by inhibition data generated in human liver microsomes (HLM).
METHODS: Three cryopreserved human hepatocyte (hHEP) systems: 1) plated hHEPs; 2) hHEPs suspended in Dulbecco's Modified Eagle Medium (DMEM) and 3) hHEPs suspended in human plasma (plasma hHEPs) were developed to detect CYP3A time dependent inhibition, and the static mechanistic model was used to predict clinical outcomes.
RESULTS: A general trend was observed in the CYP3A inactivation potency (k inact /K I, app ) as HLM > plated > DMEM ≥ plasma hHEPs. Using the static mechanistic model, DDIs predicted using parameters estimated from plated, DMEM and plasma hHEPs had 84, 74 and 95% accuracy (out of 19 clinical interaction studies) within 2-fold of the reported interaction, respectively. They demonstrated significant improvement compared to the DDIs predicted using parameters estimated from HLMs where 58% accuracy was obtained.
CONCLUSIONS: Based on 19 DDIs, plasma hHEPs demonstrate a more reliable clinical DDI prediction for 10 protein kinase inhibitors and prototypical CYP3A time dependent inhibitors.

Entities:  

Keywords:  CYP3A; drug–drug interaction; kinase inhibitors; prediction; time dependent inhibition

Mesh:

Substances:

Year:  2016        PMID: 26869174     DOI: 10.1007/s11095-016-1865-9

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  43 in total

1.  Drug-drug interaction potential of marketed oncology drugs: in vitro assessment of time-dependent cytochrome P450 inhibition, reactive metabolite formation and drug-drug interaction prediction.

Authors:  Jane R Kenny; Sophie Mukadam; Chenghong Zhang; Suzanne Tay; Carol Collins; Aleksandra Galetin; S Cyrus Khojasteh
Journal:  Pharm Res       Date:  2012-03-14       Impact factor: 4.200

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Authors:  J Brian Houston; Aleksandra Galetin
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Review 4.  The Role of Extracellular Binding Proteins in the Cellular Uptake of Drugs: Impact on Quantitative In Vitro-to-In Vivo Extrapolations of Toxicity and Efficacy in Physiologically Based Pharmacokinetic-Pharmacodynamic Research.

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Journal:  J Pharm Sci       Date:  2016-01-11       Impact factor: 3.534

5.  Influence of the antibiotics erythromycin and azithromycin on the pharmacokinetics and pharmacodynamics of midazolam.

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7.  In vitro assessment of time-dependent inhibitory effects on CYP2C8 and CYP3A activity by fourteen protein kinase inhibitors.

Authors:  Anne M Filppula; Pertti J Neuvonen; Janne T Backman
Journal:  Drug Metab Dispos       Date:  2014-04-08       Impact factor: 3.922

8.  Phase 1 trial of everolimus and gefitinib in patients with advanced nonsmall-cell lung cancer.

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9.  A potentially hazardous interaction between erythromycin and midazolam.

Authors:  K T Olkkola; K Aranko; H Luurila; A Hiller; L Saarnivaara; J J Himberg; P J Neuvonen
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10.  Prediction of crizotinib-midazolam interaction using the Simcyp population-based simulator: comparison of CYP3A time-dependent inhibition between human liver microsomes versus hepatocytes.

Authors:  Jialin Mao; Theodore R Johnson; Zhongzhou Shen; Shinji Yamazaki
Journal:  Drug Metab Dispos       Date:  2012-11-05       Impact factor: 3.922

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3.  Numerical analysis of time dependent inhibition kinetics: comparison between rat liver microsomes and rat hepatocyte data for mechanistic model fitting.

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Review 4.  Time-dependent enzyme inactivation: Numerical analyses of in vitro data and prediction of drug-drug interactions.

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Journal:  Pharmacol Ther       Date:  2019-12-11       Impact factor: 12.310

Review 5.  Progress in Prediction and Interpretation of Clinically Relevant Metabolic Drug-Drug Interactions: a Minireview Illustrating Recent Developments and Current Opportunities.

Authors:  Stephen Fowler; Peter N Morcos; Yumi Cleary; Meret Martin-Facklam; Neil Parrott; Michael Gertz; Li Yu
Journal:  Curr Pharmacol Rep       Date:  2017-02-01

Review 6.  A Comprehensive Review of the Main Lignan Components of Schisandra chinensis (North Wu Wei Zi) and Schisandra sphenanthera (South Wu Wei Zi) and the Lignan-Induced Drug-Drug Interactions Based on the Inhibition of Cytochrome P450 and P-Glycoprotein Activities.

Authors:  Feng Zhang; Jianxiu Zhai; Nan Weng; Jie Gao; Jun Yin; Wansheng Chen
Journal:  Front Pharmacol       Date:  2022-03-11       Impact factor: 5.810

7.  Assessment of cytochrome P450 3A4-mediated drug-drug interactions for ipatasertib using a fit-for-purpose physiologically based pharmacokinetic model.

Authors:  Jing Jing; Yuan Chen; Luna Musib; Jin Y Jin; Kit Wun Kathy Cheung; Kenta Yoshida; Rucha Sane
Journal:  Cancer Chemother Pharmacol       Date:  2022-04-15       Impact factor: 3.288

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