Literature DB >> 20230210

IC50-based approaches as an alternative method for assessment of time-dependent inhibition of CYP3A4.

Howard J Burt1, Aleksandra Galetin, J Brian Houston.   

Abstract

The predictive utility of two in vitro methods (empirical IC(50)-based and mechanistic k(inact)/K(I)) for the assessment of time-dependent cytochrome P450 3A4 (CYP3A4) inhibition has been compared. IC(50) values were determined at multiple pre-incubation time points over 30 min for five CYP3A4 time-dependent inhibitors (verapamil, diltiazem, erythromycin, clarithromycin, and azithromycin). The ability of IC(50) data obtained following pre-incubation to predict k(inact)/K(I) parameters was investigated and its utility was assessed relative to the conventional k(inact)/K(I) model using 50 reported clinical drug-drug interactions (DDIs). Models with either hepatic or hepatic with intestinal components were explored. For low/medium potency time-dependent inhibitors, 81% of the predicted k(inact)/K(I(unbound)) from IC(50) data were within an order of magnitude of the actual values, in contrast to 50% of potent inhibitors. An underprediction trend and > 50% of false-negatives were observed when IC(50) data were used in the DDI hepatic prediction model; incorporation of the intestine improved the prediction accuracy. On the contrary, 86% of the DDI studies were predicted within twofold using k(inact)/K(I) mechanistic approach and the combined hepatic and intestinal model. Use of the empirical IC(50) approach as an alternative to the mechanistic k(inact)/K(I) model for in vivo DDI prediction is limited and is best restricted to preliminary investigations.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20230210     DOI: 10.3109/00498251003698555

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  9 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

2.  In Vitro Assessment of Potential for CYP-Inhibition-Based Drug-Drug Interaction Between Vonoprazan and Clopidogrel.

Authors:  Mitsuhiro Nishihara; Hitomi Yamasaki; Richard Czerniak; Helen Jenkins
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2019-04       Impact factor: 2.441

3.  Intestinal Efflux Transporters P-gp and BCRP Are Not Clinically Relevant in Apixaban Disposition.

Authors:  Jasleen K Sodhi; Shuaibing Liu; Leslie Z Benet
Journal:  Pharm Res       Date:  2020-09-29       Impact factor: 4.200

4.  A small-molecular inhibitor against Proteus mirabilis urease to treat catheter-associated urinary tract infections.

Authors:  Scarlet Milo; Rachel A Heylen; John Glancy; George T Williams; Bethany L Patenall; Hollie J Hathaway; Naing T Thet; Sarah L Allinson; Maisem Laabei; A Toby A Jenkins
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

5.  Pharmacokinetic-pharmacodynamic modelling of atazanavir in hair among adolescents on antiretroviral treatment in Zimbabwe.

Authors:  Bernard Ngara; Simbarashe Zvada; Tariro Dianah Chawana; Charles Fungai Brian Nhachi; Simbarashe Rusakaniko
Journal:  BMC Pharmacol Toxicol       Date:  2021-05-24       Impact factor: 2.483

6.  Exploring the Role of CYP3A4 Mediated Drug Metabolism in the Pharmacological Modulation of Nitric Oxide Production.

Authors:  José Pérez-Del Palacio; Caridad Díaz; Noemí Vergara; Francesca Algieri; Alba Rodríguez-Nogales; Nuria de Pedro; M Elena Rodríguez-Cabezas; Olga Genilloud; Julio Gálvez; Francisca Vicente
Journal:  Front Pharmacol       Date:  2017-04-12       Impact factor: 5.810

Review 7.  p53: key conductor of all anti-acne therapies.

Authors:  Bodo C Melnik
Journal:  J Transl Med       Date:  2017-09-19       Impact factor: 5.531

8.  Modeling chemical interaction profiles: II. Molecular docking, spectral data-activity relationship, and structure-activity relationship models for potent and weak inhibitors of cytochrome P450 CYP3A4 isozyme.

Authors:  Yunfeng Tie; Brooks McPhail; Huixiao Hong; Bruce A Pearce; Laura K Schnackenberg; Weigong Ge; Dan A Buzatu; Jon G Wilkes; James C Fuscoe; Weida Tong; Bruce A Fowler; Richard D Beger; Eugene Demchuk
Journal:  Molecules       Date:  2012-03-15       Impact factor: 4.411

9.  Modeling chemical interaction profiles: I. Spectral data-activity relationship and structure-activity relationship models for inhibitors and non-inhibitors of cytochrome P450 CYP3A4 and CYP2D6 isozymes.

Authors:  Brooks McPhail; Yunfeng Tie; Huixiao Hong; Bruce A Pearce; Laura K Schnackenberg; Weigong Ge; Luis G Valerio; James C Fuscoe; Weida Tong; Dan A Buzatu; Jon G Wilkes; Bruce A Fowler; Eugene Demchuk; Richard D Beger
Journal:  Molecules       Date:  2012-03-15       Impact factor: 4.411

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.