Literature DB >> 16580903

Comparison of midazolam and simvastatin as cytochrome P450 3A probes.

Ellen Chung1, Anne N Nafziger, David J Kazierad, Joseph S Bertino.   

Abstract

OBJECTIVE: Our objective was to compare simvastatin with the validated probe midazolam in the assessment of cytochrome P450 (CYP) 3A activity.
METHODS: This study used an open-label, fixed-sequential, 3-way crossover study design. Nineteen subjects received oral doses of 0.075 mg/kg midazolam and 40 mg simvastatin during 3 phases (baseline, after inhibition with 400 mg ketoconazole for 10 days, and after induction with 600 mg rifampin [INN, rifampicin] for 9 days). Serial plasma concentrations of midazolam and simvastatin were obtained. Oral clearances of midazolam and simvastatin were compared.
RESULTS: Oral midazolam clearance decreased after pretreatment with ketoconazole (from a geometric mean of 25 mL x min(-1) x kg(-1) [range, 12-57 mL x min(-1) x kg(-1)] to 2.7 mL x min(-1) x kg(-1) [range, 1.2-8.5 mL x min(-1) x kg(-1)], P < .001) and increased after pretreatment with rifampin (to a geometric mean of 203 mL x min(-1) x kg(-1) [range, 125-371 mL x min(-1) x kg(-1)], P < .001). Oral simvastatin clearance decreased after ketoconazole (from a geometric mean of 312 mL x min(-1) x kg(-1) [range, 151-1478 mL x min(-1) x kg(-1)] to 25 mL x min(-1) x kg(-1) [range, 8.0-147 mL x min(-1) x kg(-1)], P < .001) and increased after rifampin (to a geometric mean of 3536 mL x min(-1) x kg(-1) [range, 413-10,329 mL x min(-1) x kg(-1)], P < .001). The change in simvastatin clearance was highly variable from baseline to inhibition (6- to 33-fold decrease) and from baseline to induction (2- to 39-fold increase) compared with midazolam (7- to 18-fold decrease during inhibition and 4- to 12-fold increase during induction). Midazolam and simvastatin oral clearances were correlated for all study phases (r = 0.5 and P = .03 for baseline and r = 0.53 and P = .02 for inhibition) but were weakest for induction (r = -0.031, P = .22). The area under the concentration-time curve inhibitory ratio for midazolam was 9.4 versus 12.4 for simvastatin (r = 0.3, P = .03).
CONCLUSIONS: Compared with midazolam, simvastatin is a nonvalidated, suboptimal probe for studying CYP3A drug interactions because of its lack of CYP3A specificity.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16580903     DOI: 10.1016/j.clpt.2005.11.016

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


  32 in total

1.  Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: comparison of dynamic and static models.

Authors:  Eleanor J Guest; Karen Rowland-Yeo; Amin Rostami-Hodjegan; Geoffrey T Tucker; J Brian Houston; Aleksandra Galetin
Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

2.  Pomegranate juice does not affect the disposition of simvastatin in healthy subjects.

Authors:  Soo-Jin Park; Chang-Woo Yeo; Eon-Jeong Shim; Hyunmi Kim; Kwang-Hyeon Liu; Jae-Gook Shin; Ji-Hong Shon
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2015-02-27       Impact factor: 2.441

3.  Predictions of metabolic drug-drug interactions using physiologically based modelling: Two cytochrome P450 3A4 substrates coadministered with ketoconazole or verapamil.

Authors:  Nathalie Perdaems; Helene Blasco; Cedric Vinson; Marylore Chenel; Sarah Whalley; Fanny Cazade; François Bouzom
Journal:  Clin Pharmacokinet       Date:  2010-04       Impact factor: 6.447

4.  A Generic Model for Quantitative Prediction of Interactions Mediated by Efflux Transporters and Cytochromes: Application to P-Glycoprotein and Cytochrome 3A4.

Authors:  Michel Tod; S Goutelle; N Bleyzac; L Bourguignon
Journal:  Clin Pharmacokinet       Date:  2019-04       Impact factor: 6.447

5.  Safety and pharmacokinetics of escalating daily doses of the antituberculosis drug rifapentine in healthy volunteers.

Authors:  K E Dooley; E E Bliven-Sizemore; M Weiner; Y Lu; E L Nuermberger; W C Hubbard; E J Fuchs; M T Melia; W J Burman; S E Dorman
Journal:  Clin Pharmacol Ther       Date:  2012-05       Impact factor: 6.875

6.  Human hepatocytes and cytochrome P450-selective inhibitors predict variability in human drug exposure more accurately than human recombinant P450s.

Authors:  Bo Lindmark; Anna Lundahl; Kajsa P Kanebratt; Tommy B Andersson; Emre M Isin
Journal:  Br J Pharmacol       Date:  2018-04-19       Impact factor: 8.739

7.  Inhibition of oral midazolam clearance by boosting doses of ritonavir, and by 4,4-dimethyl-benziso-(2H)-selenazine (ALT-2074), an experimental catalytic mimic of glutathione oxidase.

Authors:  David J Greenblatt; Diane E Peters; Lauren E Oleson; Jerold S Harmatz; Malcolm W MacNab; Noah Berkowitz; Miguel A Zinny; Michael H Court
Journal:  Br J Clin Pharmacol       Date:  2009-12       Impact factor: 4.335

8.  Prediction of CYP3A4 enzyme activity using haplotype tag SNPs in African Americans.

Authors:  M A Perera; R K Thirumaran; N J Cox; S Hanauer; S Das; C Brimer-Cline; V Lamba; E G Schuetz; M J Ratain; A Di Rienzo
Journal:  Pharmacogenomics J       Date:  2008-09-30       Impact factor: 3.550

9.  General framework for the prediction of oral drug interactions caused by CYP3A4 induction from in vivo information.

Authors:  Yoshiyuki Ohno; Akihiro Hisaka; Masaki Ueno; Hiroshi Suzuki
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

10.  Computing with evidence Part II: An evidential approach to predicting metabolic drug-drug interactions.

Authors:  Richard Boyce; Carol Collins; John Horn; Ira Kalet
Journal:  J Biomed Inform       Date:  2009-06-16       Impact factor: 6.317

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.