Effect of itraconazole on the pharmacokinetics of prednisolone and methylprednisolone and cortisol secretion in healthy subjects

AIMS: Itraconazole is a potent inhibitor of CYP3A4 activity and is often used in combination with corticosteroids. Since the latter are partly metabolized by CYP3A4, we studied the interaction between itraconazole, prednisone and methylprednisolone in healthy male subjects. METHODS: The effects of 4 days administration of oral itraconazole (400 mg on the first day then 200 mg day-1 for 3 days) on the pharmacokinetics of prednisolone after a single oral dose of prednisone (60 mg) and the pharmacokinetics of methylprednisolone after single oral dose of methylprednisolone (48 mg) were studied in 14 healthy male subjects in a two-period cross-over trial. Plasma cortisol concentrations were determined as a pharmacodynamic index. RESULTS: Itraconazole increased the mean area under the methylprednisolone concentration-time curve from 2773 ng ml-1 h to 7011 ng ml-1 h (P < 0.001) and the elimination half-life from 3.2 h to 5.5 h (P < 0.001). The pharmacokinetics of prednisolone were unchanged. Cortisol concentrations at 24 h were lower after administration of methylprednisolone with itraconazole than after methylprednisolone alone (24 ng ml-1 vs 109 ng ml-1, P < 0.001). CONCLUSIONS: Itraconazole increased methylprednisolone concentrations markedly with enhanced suppression of endogenous cortisol secretion, but had no effect on prednisolone pharmacokinetics. The pharmacokinetic interaction between methylprednisolone and itraconazole is probably related to inhibition of hepatic CYP3A4 activity by itraconazole.     

Combined effects of itraconazole and CYP2D6*10 genetic polymorphism on the pharmacokinetics and pharmacodynamics of haloperidol in healthy subjects

This study was to evaluate the combined effects of the CYP3A4 inhibitor itraconazole and the CYP2D6*10 genotype on the pharmacokinetics and pharmacodynamics of haloperidol, a substrate of both CYP2D6 and CYP3A4, in healthy subjects. Nineteen healthy volunteers whose CYP2D6 genotypes were predetermined were enrolled (9 for CYP2D6*1/*1 and 10 for CYP2D6*10/*10). Four subjects (1 for CYP2D6*1/*1 and 3 for CYP2D6*10/*10) did not complete the study because of adverse events. The pharmacokinetics of haloperidol and its pharmacodynamic effects measured for QTc prolongation and neurologic side effects were evaluated after a single dose of 5 mg haloperidol following a pretreatment of placebo or itraconazole at 200 mg/d for 10 days in a randomized crossover manner. Itraconazole pretreatment increased the mean area under the time-concentration curves (AUCs) of haloperidol by 55% compared to placebo pretreatment (21.7 +/- 11.3 vs 33.5 +/- 29.3 ng h/mL). The subjects with CYP2D6*10/*10 genotype showed 81% higher AUC compared to that of subjects with CYP2D6*1/*1 genotype (27.6 +/- 22.2 vs 50.2 +/- 47.1 ng h/mL). In the presence of itraconazole, subjects with CYP2D6*10/*10 showed 3-fold higher AUC of haloperidol compared to that of placebo pretreated subjects with CYP2D6*1/*1 genotype (21.7 +/- 11.3 vs 66.7 +/- 62.1 ng h/mL; P < 0.05). The CYP2D6*10 genotype and itraconazole pretreatment decreased the oral clearance of haloperidol by 24% and 25%, respectively, but without a statistical significance. In the subjects with both CYP2D6*10 genotype and itraconazole pretreatment, however, the oral clearance was significantly decreased to 42% of subjects with wild genotype in the placebo pretreatment (4.7 +/- 3.6 vs 2.0 +/- 1.9 L/h/kg; P < 0.05). Barnes Akathisia Rating Scale (BARS) of subjects with CYP2D6*10/*10 in the presence of itraconazole pretreatment was significantly higher than that of subjects with CYP2D6*1/*1 genotype in the period of placebo pretreatment. Except for this, all other pharmacodynamic estimations did not reach to statistical significance although each CYP2D6*10 genotype and itraconazole pretreatment caused higher value of UKU side effect and BARS scores. The moderate effect of CYP2D6*10 genotype on the pharmacokinetics and pharmacodynamics of haloperidol seems to be augmented by the presence of itraconazole pretreatment.     

Itraconazole decreases the clearance and enhances the effects of intravenously administered methylprednisolone in healthy volunteers.

A possible interaction of itraconazole, a potent inhibitor of CYP3A4, with intravenously administered methylprednisolone, was examined. In this double-blind, randomized, two-phase cross-over study, 9 healthy volunteers received either 200 mg itraconazole or matched placebo orally once a day for 4 days. On day 4, a dose of 16 mg methylprednisolone as sodium succinate was administered intravenously. Plasma concentrations of methylprednisolone, cortisol, itraconazole, and hydroxyitraconazole were determined up to 24 hr. Itraconazole increased the total area under the plasma methylprednisolone concentration-time curve (AUC(0-infinity) 2.6-fold) (P<0.001), while the AUC (12-24) of methylprednisolone was increased 12.2-fold (P<0.001). The systemic clearance of methylprednisolone during the itraconazole phase was 40% of that during the placebo phase (P<0.01). The volume of distribution of methylprednisolone was not affected by itraconazole. The mean elimination half-life of methylprednisolone was increased from 2.1+/-0.3 hr to 4.8+/-0.8 hr (P<0.001) by itraconazole. The mean morning plasma cortisol concentration during the itraconazole phase, measured 24 hr after the administration of methylprednisolone, was only about 9% of that during the placebo phase (11.0+/-9.0 ng/ml versus 117+/-49.2 ng/ml; P<0.001). In conclusion, itraconazole decreases the clearance and increases the elimination half-life of intravenously administered methylprednisolone, resulting in greatly increased exposure to methylprednisolone during the night time and in enhanced adrenal suppression. Care should be taken when itraconazole or other potent inhibitors of CYP3A4 are used concomitantly with methylprednisolone.     

Effect of the CYP2C19 oxidation polymorphism on fluoxetine metabolism in Chinese healthy subjects

AIMS: The study was designed to investigate whether genetically determined CYP2C19 activity affects the metabolism of fluoxetine in healthy subjects. METHODS: A single oral dose of fluoxetine (40 mg) was administrated successively to 14 healthy young men with high (extensive metabolizers, n=8) and low (poor metabolizers, n = 6) CYP2C19 activity. Blood samples were collected for 5-7 half-lives and fluoxetine, and norfluoxetine were determined by reversed-phase high performance liquid chromatography. RESULTS: Poor metabolizers (PMs) showed a mean 46% increase in fluoxetine peak plasma concentrations (Cmax, P < 0.001), 128% increase in area under the concentration vs time curve (AUC(0, infinity), P < 0.001), 113% increase in terminal elimination half-life (t(1/2)) (P < 0.001), and 55% decrease in CLo (P < 0.001) compared with extensive metabolizers (EMs). Mean +/- (s.d) norfluoxetine AUC(0, 192 h) was significantly lower in PMs than that in EMs (1343 +/- 277 vs 2935 +/- 311, P < 0.001). Mean fluoxetine Cmax and AUC(0, infinity) in wild-type homozygotes (CYP2C19*1/CYP2C19*1) were significantly lower than that in PMs (22.4 +/- 3.9 vs 36.7 +/- 8.9, P < 0.001; 732 +/- 42 vs 2152 +/- 492, P < 0.001, respectively). Mean oral clearance in individuals with the wild type homozygous genotype was significantly higher than that in heterozygotes and that in PMs (54.7 +/- 3.4 vs 36.0 +/- 8.7, P < 0.01; 54.7 +/- 3.4 vs 20.6 +/- 6.2, P < 0.001, respectively). Mean norfluoxetine AUC(0, 192 h) in PMs was significantly lower than that in wild type homozygotes (1343 +/- 277 vs 3163 +/- 121, P < 0.05) and that in heterozygotes (1343 +/- 277 vs 2706 +/- 273, P < 0.001), respectively. CONCLUSIONS: The results indicated that CYP2C19 appears to play a major role in the metabolism of fluoxetine, and in particular its N-demethylation among Chinese healthy subjects.     

Inhibition of the metabolism of brotizolam by erythromycin in humans: in vivo evidence for the involvement of CYP3A4 in brotizolam metabolism

AIMS: To obtain in vivo evidence for the involvement of cytochrome P450 (CYP) 3A4 in the metabolism of brotizolam. METHODS: Fourteen healthy male volunteers received erythromycin 1200 mg day(-1) or placebo for 7 days in a double-blind randomized crossover manner. On the 6th day they received a single oral 0.5-mg dose of brotizolam, and blood samplings were performed for 24 h. RESULTS: Erythromycin treatment significantly increased the peak plasma concentration (P < 0.05), total area under the plasma concentration-time curve (P < 0.01), and elimination half-life (P < 0.01) of brotizolam. CONCLUSIONS: The present study provides in vivo evidence for the involvement of CYP3A4 in brotizolam metabolism.     

Effects of itraconazole on the steady-state plasma concentrations of bromperidol and reduced bromperidol in schizophrenic patients

Rationale: A previously reported pharmacokinetic interaction between bromperidol and carbamazepine, an inducer of cytochrome P450 (CYP) 3A4, suggests possible involvement of CYP3A4 in the metabolism of bromperidol. Objective: We investigated pharmacokinetic interaction between bromperidol and itraconazole, a potent inhibitor of CYP3A4, to clarify the involvement of CYP3A4 in the metabolism of bromperidol and its reduced metabolite. Methods: Itraconazole 200 mg/day for 7 days was coadministered to eight schizophrenic patients treated with a fixed dose of bromperidol 12 or 24 mg/day for at least 2 weeks. Blood samples were taken before and 1 week after itraconazole coadministration and 1 week after its discontinuation, together with clinical assessments using the Brief Psychiatric Rating Scale (BPRS) and the Udvalg for Kliniske Undersøgelser (UKU) Side Effect Rating Scale. Results: Plasma concentrations of bromperidol during itraconazole coadministration (16.7±4.9 ng/ml) were significantly higher (P<0.01) than before itraconazole coadministration (8.9±4.4 ng/ml) and 1 week after its discontinuation (9.9±4.3 ng/ml). Plasma concentrations of reduced bromperidol during itraconazole coadministration (3.6±2.9 ng/ml) were significantly higher (P<0.01) than before itraconazole coadministration (1.8±1.3 ng/ml). No changes were observed in BPRS and UKU scores throughout the study. Conclusions: The pharmacokinetic interaction between bromperidol and itraconazole is probably due to the inhibitory effect of itraconazole on the metabolism of bromperidol. This study provides in vivo evidence of involvement of CYP3A4 in the metabolism of bromperidol and reduced bromperidol.     

Selegiline pharmacokinetics are unaffected by the CYP3A4 inhibitor itraconazole

OBJECTIVE: To characterise the effects of itraconazole, a potent inhibitor of CYP3A4, on the pharmacokinetics of selegiline in healthy volunteers. METHODS: In this randomised, placebo-controlled crossover study with two phases, 12 healthy volunteers took either 200 mg itraconazole or matched placebo once daily for 4 days. On day 4, a single 10-mg oral dose of selegiline hydrochloride was administered. Serum concentrations of selegiline and its primary metabolites desmethylselegiline and l-methamphetamine were determined up to 32 h. A caffeine test was performed on day 3 of both phases, by measuring the plasma paraxanthine/caffeine concentration ratio 6 h after caffeine intake, to examine the role of CYP1A2 in selegiline pharmacokinetics. In addition, the effects of itraconazole on the metabolism of selegiline in vitro were characterised by using human liver microsomes. RESULTS: Itraconazole had no significant effects on the pharmacokinetic variables of selegiline, desmethylselegiline or l-methamphetamine, with the exception that the AUC of desmethylselegiline was increased by about 10% (P < 0.05). There was a significant correlation between the AUC(desmethylselegiline)/AUC(selegiline) ratio and the paraxanthine/caffeine ratio (r = 0.41; P < 0.05), suggesting involvement of CYP1A2 in the formation of desmethylselegiline. In experiments with human liver microsomes, itraconazole had no inhibitory effect on the formation of either desmethylselegiline or l-methamphetamine from selegiline. CONCLUSIONS: The pharmacokinetics of selegiline in healthy volunteers were unaffected by the potent CYP3A4 inhibitor itraconazole. In addition, itraconazole showed no inhibitory effect on the biotransformation of selegiline to desmethylselegiline and l-methamphetamine by human liver microsomes. These findings suggest that selegiline is not susceptible to interaction with CYP3A4 inhibitors.     

Effects of itraconazole on the pharmacokinetics and pharmacodynamics of intravenously and orally administered oxycodone

Background

The aim of this study was to investigate the effects of the cytochrome P450 3A4 (CYP34A) inhibitor itraconazole on the pharmacokinetics and pharmacodynamics of orally and intravenously administered oxycodone.

Methods

Twelve healthy subjects were administered 200 mg itraconazole or placebo orally for 5 days in a four-session paired cross-over study. On day 4, oxycodone was administered intravenously (0.1 mg/kg) in the first part of the study and orally (10 mg) in the second part. Plasma concentrations of oxycodone and its oxidative metabolites were measured for 48 h, and pharmacodynamic effects were evaluated.

Results

Itraconazole decreased plasma clearance (Cl) and increased the area under the plasma concentration–time curve (AUC0–∞) of intravenous oxycodone by 32 and 51%, respectively (P?<?0.001) and increased the AUC(0–∞) of orally administrated oxycodone by 144% (P?<?0.001). Most of the pharmacokinetic changes in oral oxycodone were seen in the elimination phase, with modest effects by itraconazole on its peak concentration, which was increased by 45% (P?=?0.009). The AUC(0–48) of noroxycodone was decreased by 49% (P?<?0.001) and that of oxymorphone was increased by 359% (P?<?0.001) after the administration of oral oxycodone. The pharmacologic effects of oxycodone were enhanced by itraconazole only modestly.

Conclusions

Itraconazole increased the exposure to oxycodone by inhibiting its CYP3A4-mediated N-demethylation. The clinical use of itraconazole in patients receiving multiple doses of oxycodone for pain relief may increase the risk of opioid-associated adverse effects.     

Itraconazole Decreases the Clearance and Enhances the Effects of Intravenously Administered Methylprednisolone in Healthy Volunteers

Abstract: A possible interaction of itraconazole, a potent inhibitor of CYP3A4, with intravenously administered methylprednisolone, was examined. In this double-blind, randomized, two-phase cross-over study, 9 healthy volunteers received either 200 mg itraconazole or matched placebo orally once a day for 4 days. On day 4, a dose of 16 mg methylprednisolone as sodium succinate was administered intravenously. Plasma concentrations of methylprednisolone, cortisol, itraconazole, and hydroxyitraconazole were determined up to 24 hr. Itraconazole increased the total area under the plasma methylprednisolone concentration-time curve (AUC(0-∞) 2.6-fold) (P<0.001), while the AUC (12–24) of methylprednisolone was increased 12.2-fold (P<0.001). The systemic clearance of methylprednisolone during the itraconazole phase was 40% of that during the placebo phase (P<0.01). The volume of distribution of methylprednisolone was not affected by itraconazole. The mean elimination half-life of methylprednisolone was increased from 2.1±0.3 hr to 4.8±0.8 hr (P<0.001) by itraconazole. The mean morning plasma cortisol concentration during the itraconazole phase, measured 24 hr after the administration of methylprednisolone, was only about 9% of that during the placebo phase (11.0±9.0 ng/ml versus 117±49.2 ng/ml; P<0.001). In conclusion, itraconazole decreases the clearance and increases the elimination half-life of intravenously administered methylprednisolone, resulting in greatly increased exposure to methylprednisolone during the night time and in enhanced adrenal suppression. Care should be taken when itraconazole or other potent inhibitors of CYP3A4 are used concomitantly with methylprednisolone.     

The role of CYP2C and CYP3A in the disposition of 3-keto-desogestrel after administration of desogestrel

AIMS: Our objective was to study in vivo the role of CYP2C and CYP3A4 in the disposition of 3-keto-desogestrel after administration of desogestrel, by using the selective inhibitors fluconazole (CYP2C) and itraconazole (CYP3A4). METHODS: This study had a three-way crossover design and included 12 healthy females, the data from 11 of whom were analyzed. In the first (control) phase all subjects received a single 150 microg oral dose of desogestrel alone. In the second and third phases subjects received a 4 day pretreatment with either 200 mg fluconazole or 200 mg itraconazole once daily in a randomized balanced order. Desogestrel was given 1 h after the last dose of the CYP inhibitor. Plasma 3-keto-desogestrel concentrations were determined for up to 72 h post dose. RESULTS: Pretreatment with itraconazole for 4 days significantly increased the area under the plasma concentration-time curve (AUC) of 3-keto-desogestrel by 72.4% (95% confidence interval on the difference 12%, 133%; P = 0.024) compared with the control phase, whereas fluconazole pretreatment had no significant effect (95% CI on the difference -42%, 34%). Neither enzyme inhibitor affected significantly the maximum concentration (95% CI on the difference 14%, 124% for itraconazole and -23%, 40% for fluconazole) or elimination half-life (95% CI on the difference -42%, 120% for itraconazole and -24%, 61% for fluconazole) of 3-keto-desogestrel. CONCLUSIONS: According to the present study, the biotransformation of desogestrel to 3-keto-desogestrel did not appear to be mediated by CYP2C9 and CYP2C19 as suggested earlier. However, the further metabolism of 3-keto-desogestrel seems to be catalyzed by CYP3A4.     

细胞色素P450 CYP2C9*3对格列本脲和氯诺昔康中国人体药代动力学的影响

目的研究人体内细胞色素P450 2C9酶突变等位基因CYP2C9*3对格列本脲和氯诺昔康药代动力学的影响。方法采用PCR-RFLP方法对83名无血源关系的受试者进行CYP2C9*3等位基因的筛查，基因型为CYP2C9*1/*3(n=7)和*1/*1(n=11)的受试者分别参加了格列本脲和氯诺昔康的人体药代动力学试验。采用LC/MS/MS法分别测定受试者口服格列本脲(2.5 mg)和氯诺昔康(8 mg)后不同时刻血浆中格列本脲和氯诺昔康的浓度。结果两组受试者口服格列本脲后，CYP2C9*1/*3组AUC_0-∞显著增加，为CYP2C9*1/*1组的1.5倍，CL/F降低了40%；两组受试者口服氯诺昔康后，CYP2C9*1/*3组AUC_0-∞亦显著增加，为CYP2C9*1/*1组的2.2倍，CL/F降低了55%。结论CYP2C9酶的突变等位基因CYP2C9*3对格列本脲和氯诺昔康的药代动力学有显著性影响。     

Inhibition of the metabolism of etizolam by itraconazole in humans: evidence for the involvement of CYP3A4 in etizolam metabolism

Objective To clarify the involvement of cytochrome P₄₅₀ (CYP) 3A4 in the metabolism of etizolam.Methods The effects of itraconazole, a potent and specific inhibitor of CYP3A4, on the single oral dose pharmacokinetics and pharmacodynamics of etizolam were examined. Twelve healthy male volunteers received itraconazole (200 mg/day) or placebo for 7 days in a double-blind randomized crossover manner, and on the 6th day they received a single oral 1-mg dose of etizolam. Blood samplings and evaluation of psychomotor function using the Digit Symbol Substitution Test and Stanford Sleepiness Scale were conducted up to 24 h after etizolam dosing. Plasma concentration of etizolam was measured by means of high-performance liquid chromatography.Results Itraconazole treatment significantly increased the total area under the plasma concentration–time curve (AUC; 213±106 ngh/ml versus 326±166 ngh/ml, P<0.001) and the elimination half-life (12.0±5.4 h versus 17.3±7.4 h, P<0.01) of etizolam. The 90% confidence interval of the itraconazole/placebo ratio of the total AUC was 1.38–1.68, indicating a significant effect of itraconazole. No significant change was induced by itraconazole in the two pharmacodynamic parameters.Conclusion The present study suggests that itraconazole inhibits the metabolism of etizolam, providing evidence that CYP3A4 is at least partly involved in etizolam metabolism.     

Fluconazole but not itraconazole decreases the metabolism of losartan to E-3174

Objective: Losartan is metabolised to its active metabolite E-3174 by CYP2C9 and CYP3A4 in vitro. Itraconazole is an inhibitor of CYP3A4, whereas fluconazole affects CYP2C9 more than CYP3A4. We wanted to study the possible interaction of these antimycotics with losartan in healthy volunteers. Methods: A randomised, double-blind, three-phase crossover study design was used. Eleven healthy volunteers ingested orally, once a day for 4 days, either itraconazole 200 mg, fluconazole (400 mg on day 1 and 200 mg on days 2–4) or placebo (control). On day 4, a single 50-mg oral dose of losartan was ingested. Plasma concentrations of losartan, E-3174, itraconazole, hydroxy-itraconazole and fluconazole were determined over 24 h. The blood pressure and heart rate were also recorded over 24 h. Results: The mean peak plasma concentration (C_max) and area under the curve [AUC(0∞)] of E-3174 were significantly decreased by fluconazole to 30% and to 47% of their control values, respectively, and the t_1/2 was increased to 167%. Fluconazole caused only a nonsignificant increase (23–41%) in the AUC and t_1/2 of the unchanged losartan. Itraconazole had no significant effect on the pharmacokinetic variables of losartan or E-3174. The ratio AUC(0∞)_E-3174/AUC(0∞)_losartan was 60% smaller during the fluconazole than during the placebo and itraconazole phases. No clinically significant changes in the effects of losartan on blood pressure and heart rate were observed between fluconazole, itraconazole and placebo phases. Conclusion: Fluconazole but not itraconazole interacts with losartan by inhibiting its metabolism to the active metabolite E-3174. This implicates that, in man, CYP2C9 is a major enzyme for the formation of E-3174 from losartan. The clinical significance of the fluconazole–losartan interaction is unclear, but the possibility of a decreased therapeutic effect of losartan should be kept in mind. Received: 4 June 1997 / Accepted in revised form: 10 September 1997     

Lack of pharmacokinetic interaction between omeprazole or lansoprazole and ivabradine in healthy volunteers: an open-label, randomized, crossover, pharmacokinetic interaction clinical trial

The effects of omeprazole and lansoprazole (CYP3A4 inhibitors) on the pharmacokinetics of a single dose of ivabradine (metabolized via CYP3A4) and its active metabolite (S18982) were assessed. Pharmacodynamics and safety were secondary objectives. An open-label, randomized, crossover, phase I, pharmacokinetic interaction design was used. Volunteers received a single oral dose of ivabradine (10 mg), were randomized to receive either omeprazole (40 mg) or lansoprazole (60 mg) for 5 days, and were administered an ivabradine dose on the sixth day. Crossover was performed after washout. Pharmacokinetic parameters for ivabradine did not vary significantly after omeprazole (C(max): 45.0 +/- 36.6 vs 42.7 +/- 27.6 ng/mL, P = .98; AUC: 128 +/- 87 vs 126 +/- 63 ng/mL, P = .82) or lansoprazole administration (C(max): 45.0 +/- 36.6 vs 41.3 +/- 29.4 ng/mL, P = .70; AUC: 128 +/- 87 vs 123 +/- 50, P = .73). Analyses of S18982 pharmacokinetic parameters showed similar results. Coadministration of either omeprazole or lansoprazole did not significantly affect the pharmacokinetics of a single dose of ivabradine. No pharmacodynamic interaction or safety concerns were evidenced.     

Effects of itraconazole on the plasma kinetics of quazepam and its two active metabolites after a single oral dose of the drug

The effects of itraconazole, a potent inhibitor of cytochrome P450 (CYP) 3A4, on the plasma kinetics of quazepam and its two active metabolites after a single oral dose of the drug were studied. Ten healthy male volunteers received itraconazole 100 mg/d or placebo for 14 days in a double-blind randomized crossover manner, and on the fourth day of the treatment they received a single oral 20-mg dose of quazepam. Blood samplings and evaluation of psychomotor function by the Digit Symbol Substitution Test and Stanford Sleepiness Scale were conducted up to 240 h after quazepam dosing. Itraconazole treatment did not change the plasma kinetics of quazepam but significantly decreased the peak plasma concentration and area under the plasma concentration-time curve of 2-oxoquazepam and N-desalkyl-2-oxoquazepam. Itraconazole treatment did not affect either of the psychomotor function parameters. The present study thus suggests that CYP 3A4 is partly involved in the metabolism of quazepam.     

Determinants of steady-state torasemide pharmacokinetics: impact of pharmacogenetic factors, gender and angiotensin II receptor blockers

BACKGROUND: Torasemide is frequently used for the treatment of hypertension and heart failure. However, the determinants of torasemide pharmacokinetics in patients during steady-state conditions are largely unknown. We therefore explored the impact of genetic polymorphisms of cytochrome P450 (CYP) 2C9 (CYP2C9) and organic anion transporting polypeptide (OATP) 1B1 (SLCO1B1), gender, and the effects of losartan and irbesartan comedication on the interindividual variability of steady-state pharmacokinetics of torasemide. PATIENTS AND METHODS: Twenty-four patients receiving stable medication with torasemide 10 mg once daily and with an indication for additional angiotensin II receptor blocker (ARB) treatment to control hypertension or to treat heart failure were selected. Blood samples were taken before torasemide administration and 0.5, 1, 2, 4, 8, 12 and 24 hours after administration. After this first study period, patients received either irbesartan 150 mg (five female and seven male patients aged 69+/-8 years) or losartan 100 mg (two female and ten male patients aged 61+/-8 years) once daily. After 3 days of ARB medication, eight blood samples were again collected at the timepoints indicated above. The patients' long-term medications, which did not include known CYP2C9 inhibitors, were maintained at a constant dose during the study. All patients were genotyped for CYP2C9 (*1/*1 [n=15]; *1/*2 [n = 4]; *1/*3 [n=5]) as well as for SLCO1B1 (c.521TT [n=13]; c.521TC [n=11]). RESULTS: Factorial ANOVA revealed an independent impact of the CYP2C9 genotype (dose-normalized area under the plasma concentration-time curve during the 24-hour dosing interval at steady state [AUC(24,ss)/D]: *1/*1 375.5+/-151.4 microg x h/L/mg vs *1/*3 548.5+/-271.6 microg x h/L/mg, p=0.001), the SLCO1B1 genotype (AUC(24,ss)/D: TT 352.3+/-114 microg x h/L/mg vs TC 487.6+/-218.4 microg x h/L/mg, p<0.05) and gender (AUC(24,ss)/D: males 359.5+/-72.2 microg x h/L/mg vs females 547.3+/-284 microg x h/L/mg, p<0.01) on disposition of torasemide. Coadministration of irbesartan caused a 13% increase in the AUC(24,ss)/D of torasemide (p=0.002), whereas losartan had no effect. CONCLUSION: This study shows that the CYP2C9*3 and SLCO1B1 c.521TC genotype and female gender are significant and independent predictors of the pharmacokinetics of torasemide. Coadministration of irbesartan yields moderate but significant increases in the torasemide plasma concentration and elimination half-life.     

Drug interaction between St John's Wort and quazepam

AIM: St John's Wort (SJW) enhances CYP3A4 activity and decreases blood concentrations of CYP3A4 substrates. In this study, the effects of SJW on a benzodiazepine hypnotic, quazepam, which is metabolized by CYP3A4, were examined. METHODS: Thirteen healthy subjects took a single dose of quazepam 15 mg after treatment with SJW (900 mg day(-1)) or placebo for 14 days. The study was performed in a randomized, placebo-controlled, cross-over design with an interval of 4 weeks between the two treatments. Blood samples were obtained during a 48 h period and urine was collected for 24 h after each dose of quazepam. Pharmacodynamic effects were determined using visual analogue scales (VAS) and the digit symbol substitution test (DSST) on days 13 and 14. RESULTS: SJW decreased the plasma quazepam concentration. The Cmax and AUC(0-48) of quazepam after SJW were significantly lower than those after placebo [Cmax; -8.7 ng ml(-1) (95% confidence interval (CI) -17.1 to -0.2), AUC0-48; -55 ng h ml(-1) (95% CI -96 to -15)]. The urinary ratio of 6beta-hydroxycortisol to cortisol, which reflects CYP3A4 activity, also increased after dosing with SJW (ratio; 2.1 (95%CI 0.85-3.4)). Quazepam, but not SJW, produced sedative-like effects in the VAS test (drowsiness; P < 0.01, mental slowness; P < 0.01, calmness; P < 0.05, discontentment; P < 0.01). On the other hand, SJW, but not quazepam impaired psychomotor performance in the DSST test. SJW did not influence the pharmacodynamic profile of quazepam. CONCLUSIONS: These results suggest that SJW decreases plasma quazepam concentrations, probably by enhancing CYP3A4 activity, but does not influence the pharmacodynamic effects of the drug.     

Effect of food on the absorption and pharmacokinetics of prednisolone from enteric-coated tablets

Summary We have studied the influence of food and dose (50, 100, 200 mg) on the oral systemic availability of the broad spectrum antifungal itraconazole and the pharmacokinetics after repeated dosing of 100 mg in six healthy volunteers.The relative systemic availability of itraconazole capsules compared with solution averaged 39.8% in the fasting state but 102% in the post-prandial state. Food did not significantly affect the t_max of the capsules. Itraconazole AUC at single doses of 50, 100, and 200 mg had a ratio of 0.3:1:2.7, and the steady-state AUC (0–24) after 15 days of 100 mg was five times the single-dose AUC.These findings suggest non-linear itraconazole pharmacokinetics in the range of therapeutically used doses. Furthermore, capsules should be given shortly after a meal to ensure optimal oral systemic availability.     

Effects of Hypericum perforatum on ivabradine pharmacokinetics in healthy volunteers: an open-label, pharmacokinetic interaction clinical trial

The effects of the CYP3A4 inducer, Hypericum perforatum, on the pharmacokinetics of a single oral dose of ivabradine were assessed. An open-label, 2-period, nonrandomized, phase-I, pharmacokinetic interaction design was used. Twelve healthy volunteers received a single oral dose of ivabradine (10 mg) followed by H perforatum (300 mg orally, 3 times a day) for 14 days, combining the last dose with another single dose of ivabradine. Pharmacokinetic data for ivabradine (S16257) and its main active metabolite (S18982) prior to and after the administration of H perforatum were analyzed. After repeated administration of H perforatum, highest observed concentration in plasma (C(max)) and area under the concentration-time curve (AUC) were significantly decreased for ivabradine (32.7 +/- 16.6 vs 15.4 +/- 7.0 ng/mL, P < .01; 114 +/- 39.1 vs 43.7 +/- 12.0 ng x h/mL, P < .01, respectively), and for S18982 (C(max), 6.8 +/- 3.7 vs 5.1 +/- 2.0 ng/mL, P < .05; AUC, 56.2 +/- 23.4 vs 38.3 +/- 25.1 ng x h/mL, P < .01). Tendencies toward shorter time to C(max) and lower apparent terminal half-life values were found. Pharmacokinetic results are consistent with an induction of ivabradine metabolism by H perforatum.     

Interaction between grapefruit juice and hypnotic drugs: comparison of triazolam and quazepam

Objective: Grapefruit juice (GFJ) inhibits cytochrome P450 (CYP) 3A4 in the gut wall and increases blood concentrations of CYP3A4 substrates by the enhancement of oral bioavailability. The effects of GFJ on two benzodiazepine hypnotics, triazolam (metabolized by CYP3A4) and quazepam (metabolized by CYP3A4 and CYP2C9), were determined in this study. Methods: The study consisted of four separate trials in which nine healthy subjects were administered 0.25 mg triazolam or 15 mg quazepam, with or without GFJ. Each trial was performed using an open, randomized, cross-over design with an interval of more than 2 weeks between trials. Blood samples were obtained during the 24-h period immediately following the administration of each dose. Pharmacodynamic effects were determined by the digit symbol substitution test (DSST) and utilizing a visual analog scale. Results GFJ increased the plasma concentrations of both triazolam and quazepam and of the active metabolite of quazepam, 2-oxoquazepam. The area under the curve (AUC)(0–24) of triazolam significantly increased by 96% (p<0.05). The AUC(0–24) of quazepam (+38%) and 2-oxoquazepam (+28%) also increased; however, these increases were not significantly different from those of triazolam. GFJ deteriorated the performance of the subjects in the DSST after the triazolam dose (−11 digits at 2 h after the dose, p<0.05), but not after the quazepam dose. Triazolam and quazepam produced similar sedative-like effects, none of which were enhanced by GFJ. Conclusion These results suggest that the effects of GFJ on the pharmacodynamics of triazolam are greater than those on quazepam. These GFJ-related different effects are partly explained by the fact that triazolam is presystemically metabolized by CYP3A4, while quazepam is presystemically metabolized by CYP3A4 and CYP2C9.