Literature DB >> 8632299

Triazolam biotransformation by human liver microsomes in vitro: effects of metabolic inhibitors and clinical confirmation of a predicted interaction with ketoconazole.

L L von Moltke1, D J Greenblatt, J S Harmatz, S X Duan, L M Harrel, M M Cotreau-Bibbo, G A Pritchard, C E Wright, R I Shader.   

Abstract

Biotransformation of the triazolobenzodiazepine triazolam to its hydroxylated metabolites, alpha-hydroxy (OH)- and 4-OH-triazolam, was studied in vitro using microsomal preparations of human liver. Mean values of Vmax (10.3 nM/min/mg of protein) and Km (304 microM) for the 4-OH pathway exceeded values for the alpha-OH pathway (2.4 and 74, respectively). However the mean Vmax/Km ratios for the two pathways were nearly identical, indicating that both contribute approximately equally to intrinsic clearance. Ketoconazole was a powerful inhibitor of triazolam biotransformation, having mean competitive Ki values of 0.006 and 0.023 microM for the alpha-OH and 4-OH pathways. This is consistent with the role of P450-3A isoforms in mediating triazolam biotransformation. The serotonin2 antagonist antidepressant nefazodone inhibited the alpha-OH and 4-OH pathways (Ki = 0.6 and 1.7 microM, respectively), but with considerably less activity than ketoconazole. Among six selective serotonin reuptake-inhibitor antidepressants, norfluoxetine was the most potent inhibitor (Ki = 2.7 and 8.0 microM) and fluoxetine itself was the weakest (Ki = 7.0 and 44.3 microM). In a double-blind clinical pharmacokinetic-pharmacodynamic study, administration of triazolam (0.125 mg) preceded by ketoconazole, compared to triazolam preceded by placebo, produced a nearly 9-fold reduction in apparent oral clearance of triazolam (41 vs. 337 ml/min) and a 4-fold prolongation of half-life (13.5 vs. 3.4 hr). Pharmacodynamic testing indicated enhancement of electroencephalographic beta activity, and enhanced decrements in digit-symbol substitution test performance, attributable to coadministration of ketoconazole. Plasma ketoconazole concentrations measured in the clinical study ranged from 0.02 microgram/ml (projected minimum) to 4.95 micrograms/ml (maximum). An in vitro-in vivo scaling model, using these plasma ketoconazole concentrations together with liver partition ratios and the in vitro Ki values, predicted a decrement of triazolam clearance due to ketoconazole coadministration that was consistent with the 88% decrement in clearance actually observed in vivo.

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Year:  1996        PMID: 8632299

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  37 in total

1.  Effect of diclofenac, disulfiram, itraconazole, grapefruit juice and erythromycin on the pharmacokinetics of quinidine.

Authors:  P Damkier; L L Hansen; K Brosen
Journal:  Br J Clin Pharmacol       Date:  1999-12       Impact factor: 4.335

2.  CYP3A4 drug interactions: correlation of 10 in vitro probe substrates.

Authors:  K E Kenworthy; J C Bloomer; S E Clarke; J B Houston
Journal:  Br J Clin Pharmacol       Date:  1999-11       Impact factor: 4.335

3.  Prediction of in vivo interaction between triazolam and erythromycin based on in vitro studies using human liver microsomes and recombinant human CYP3A4.

Authors:  S Kanamitsu; K Ito; C E Green; C A Tyson; N Shimada; Y Sugiyama
Journal:  Pharm Res       Date:  2000-04       Impact factor: 4.200

4.  Which concentration of the inhibitor should be used to predict in vivo drug interactions from in vitro data?

Authors:  Kiyomi Ito; Koji Chiba; Masato Horikawa; Michi Ishigami; Naomi Mizuno; Jun Aoki; Yasumasa Gotoh; Takafumi Iwatsubo; Shin-ichi Kanamitsu; Motohiro Kato; Iichiro Kawahara; Kayoko Niinuma; Akiko Nishino; Norihito Sato; Yuko Tsukamoto; Kaoru Ueda; Tomoo Itoh; Yuichi Sugiyama
Journal:  AAPS PharmSci       Date:  2002

5.  Grapefruit juice, lyophilized grapefruit juice, and powdered whole grapefruit inhibit cytochrome P450-mediated triazolam hydroxylation by beagle dog liver microsomes.

Authors:  M J Hanley; R Cerundolo; N Radwanski; M H Court
Journal:  J Vet Pharmacol Ther       Date:  2010-04       Impact factor: 1.786

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

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Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

Review 7.  Effects of the antifungal agents on oxidative drug metabolism: clinical relevance.

Authors:  K Venkatakrishnan; L L von Moltke; D J Greenblatt
Journal:  Clin Pharmacokinet       Date:  2000-02       Impact factor: 6.447

8.  Effects of cytochrome P450 3A modulators ketoconazole and carbamazepine on quetiapine pharmacokinetics.

Authors:  Scott W Grimm; Neil M Richtand; Helen R Winter; Karen R Stams; Stots B Reele
Journal:  Br J Clin Pharmacol       Date:  2006-01       Impact factor: 4.335

Review 9.  Clinical pharmacokinetics of nefazodone.

Authors:  D S Greene; R H Barbhaiya
Journal:  Clin Pharmacokinet       Date:  1997-10       Impact factor: 6.447

Review 10.  Pharmacokinetic interactions with felbamate. In vitro-in vivo correlation.

Authors:  P Glue; C R Banfield; J L Perhach; G G Mather; J K Racha; R H Levy
Journal:  Clin Pharmacokinet       Date:  1997-09       Impact factor: 6.447

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