A Population Pharmacokinetic–Pharmacodynamic Meta‐Analysis of Vortioxetine in Patients with Major Depressive Disorder

Vortioxetine is approved for the treatment of major depressive disorder (MDD). This analysis aimed to develop pharmacokinetic (PK) and PK/Efficacy models to evaluate the exposure–response relationship for vortioxetine in patients with MDD. PK data from 10 MDD and two generalized anxiety disorder studies of vortioxetine (3160 patients), and efficacy data [Montgomery–Åsberg Depression Rating Scale (MADRS)] from seven MDD studies (2537 patients), were used for the development of PK and PK/Efficacy models. One‐ and two‐compartment models were evaluated as structural PK models, and linear and nonlinear (E_max) models were used to describe the relationship between average vortioxetine concentration at steady‐state (C_av) and change in MADRS score from baseline (ΔMADRS). The impact of selected covariates on the PK and efficacy parameters of vortioxetine was also investigated. PK of vortioxetine was best characterized by a two‐compartment model with first‐order absorption and elimination. Mean estimates for oral clearance (CL/F) and volume of distribution for the central compartment of vortioxetine were 42 L/hr and 2920 L. Creatinine clearance, height and geographic region had statistically significant effects on vortioxetine CL/F, but the effect of each of these covariates was not considered clinically relevant, as they lead to ±26% change in area under the curve or C_max of vortioxetine. An E_max model best described the relationship between ΔMADRS and C_av. Half‐maximal effective concentration (EC₅₀) and E_max estimates were 24.9 ng/mL and 7.0. No identified covariates, except region, had clinically meaningful effects on vortioxetine efficacy. These PK/Efficacy models adequately characterized the vortioxetine exposure–response relationship.     

Identifying factors affecting the pharmacokinetics of voriconazole in patients with liver dysfunction: A population pharmacokinetic approach

Voriconazole is a broad‐spectrum antifungal agent commonly used to treat invasive fungal infections. Voriconazole has significant intraindividual and interindividual pharmacokinetics variability in different patient populations. Pharmacokinetic data of voriconazole in patients with liver dysfunction were limited. The aims of this study were to evaluate the population pharmacokinetics of voriconazole in patients with liver dysfunction and to identify the factors that affect voriconazole pharmacokinetics. A total of 166 samples taken from 57 patients with liver dysfunction were included in the study. A one‐compartment pharmacokinetic model with first‐order absorption and elimination was used to describe the data. Voriconazole clearance (CL) was 0.58 L/h, the volume of distribution (V_d) was 134 L, and oral bioavailability (F) was 80.8%. This study showed that platelet count was significantly associated with voriconazole pharmacokinetic parameters. CYP2C19 polymorphisms had no effect on voriconazole pharmacokinetic parameters. Voriconazole CL was significantly decreased in patients with liver dysfunction. This study provides useful pharmacokinetics information for patients with liver dysfunction while highlighting the value of therapeutic drug monitoring in adjusting doses.     

Population Pharmacokinetic–Pharmacogenetic Model of Tacrolimus in the Early Period after Kidney Transplantation

As tacrolimus has a rather narrow therapeutic range and high individual variability in its pharmacokinetics, it is important to determine the cause of the variation in tacrolimus pharmacokinetics. The purpose of this study was to establish a population pharmacokinetic–pharmacogenetic model of tacrolimus and identify covariates that affect pharmacokinetic parameters to prevent fluctuations in the tacrolimus trough concentration during the early period after transplantation. Data from 1501 trough concentrations and 417 densely collected concentrations were compiled from 122 patients who were on post‐operative days 10–20 and analysed with a nonlinear mixed‐effect model. The first‐order conditional estimation (FOCE) with interaction method was used to fit the model using the NONMEM program. Clinical/laboratory data were also collected for the same period, and CYP3A5 and ABCB1 genotypes were analysed for use in modelling from all included patients. An empirical Bayesian approach was used to estimate individual pharmacokinetic profiles. A one‐compartment model with first absorption and elimination and lag time best described the data. The estimated population mean of clearance (CL/F), volume of distribution (V/F) and absorption rate (K_a) were 21.9 L/hr, 205 L, and 3.43/hr, respectively, and the lag time was fixed at 0.25 hr. Clearance increased with days after transplantation and decreased with CYP3A5*3/*3 about 18.4% compared with CYP3A5*1 carriers (p < 0.001). A population pharmacokinetic model was developed for tacrolimus in early post‐kidney transplantation recipients to identify covariates that affect tacrolimus pharmacokinetics. Post‐operative days and CYP3A5 genotype were confirmed as critical factors of tacrolimus pharmacokinetics.     

Absolute oral bioavailability of traxoprodil in cytochrome P450 2D6 extensive and poor metabolisers

BACKGROUND: Traxoprodil, a substituted 4-phenylpiperidine, is an N-methyl-D-aspartate (NMDA) receptor antagonist that is selective for receptors containing the NR2B subunit. In vivo and in vitro studies examining the disposition of traxoprodil have demonstrated that it is mainly metabolised by cytochrome P450 (CYP) 2D6, a major drug-metabolising enzyme that exhibits a genetic polymorphism. OBJECTIVE: To assess the single-dose absolute oral bioavailability of traxoprodil in healthy male volunteers phenotyped as either CYP2D6 extensive or poor metabolisers. METHODS: This was an open-label, three-way crossover study. Traxoprodil was administered as a single dose orally in solution of 50, 100 and 300mg and intravenously as a constant rate 2-hour infusion of 50 and 100mg. CYP2D6 phenotype was assigned following single-dose dextromethorphan administration. RESULTS: In poor metabolisers (n = 6), oral bioavailability was approximately 80% and was consistent with a liver extraction ratio of approximately 20% (plasma clearance of approximately 4 mL/min/kg) indicating near complete absorption. Following intravenous administration, the mean volume of distribution at steady state (V(ss)) was moderate (approximately 6.5 L/kg) and the mean elimination half-life (t((1/2))) was approximately 20 hours. Following oral administration the mean maximum plasma concentration (C(max)) and area under the plasma concentration-time curve from time zero to infinity (AUC(infinity)) increased approximately proportionally with dose. In extensive metabolisers (n = 11), oral bioavailability was dose-dependent and nonlinear. At the 100mg dose, the absolute oral bioavailability was approximately 39.5%. Overall, the oral bioavailability ranged from 22.8% to 62.1% and its estimation was confounded by large differences in plasma concentrations at oral doses without equivalent intravenous doses. Following intravenous administration, plasma clearance was high (approximately 27 mL/min/kg), the V(ss) was moderate (approximately 4 L/Kg) and the t((1/2)) was approximately 2-4 hours. Following oral administration the C(max) and AUC(infinity) increased more than proportionally with dose. Apparent oral clearance decreased with increasing oral dose. However, t((1/2)) was approximately the same at all doses (approximately 4 hours). CONCLUSION: The pharmacokinetics of traxoprodil were quite different in the two phenotypes. In extensive metabolisers, the oral bioavailability was nonlinear and dose-dependent, while in poor metabolisers, oral bioavailability appeared to be linear and dose-independent. Based on the pharmacokinetics in extensive and poor metabolisers, the nonlinear oral bioavailability in extensive metabolisers may be attributed to saturation of hepatic first-pass CYP2D6 metabolism. Thus, at a high oral dose, the impact of CYP2D6 metabolism on traxoprodil pharmacokinetics is minimal.     

The pharmacokinetics of ketobemidone are not affected by CYP2D6 or CYP2C19 phenotype

The pharmacokinetics of orally administered ketobemidone were investigated in three groups of healthy volunteers with respect to cytochrome P450 (CYP) 2D6 and CYP2C19 phenotypes: extensive metabolisers (EMs) of debrisoquine and mephenytoin (EMdeb/EMmeph), poor metabolisers (PMs) of debrisoquine (PMdeb/EMmeph) and poor metabolisers of mephenytoin (PMmeph/EMdeb). Peak plasma concentration, oral clearance, area under the plasma concentration-time curve, half-life, volume of distribution and mean residence time were not significantly different among the three groups. There was no correlation between oral clearance of ketobemidone and debrisoquine or mephenytoin metabolic ratios. Further, the urinary excretion of ketobemidone and norketobemidone was not affected by the phenotype for either CYP2D6 or CYP2C19. However, a substantial variation in plasma concentration was observed within all three groups. The results indicate that the metabolism of ketobemidone is not dependent on CYP2D6 or CYP2C19. PMs of debrisoquine or mephenytoin, as well as patients who are concomitantly treated with inhibitors of CYP2D6 or CYP2C19, are not expected to be at higher risk of adverse effects. However, due to the interindividual variability in plasma levels of ketobemidone, independent of phenotype, individual dosing based on the clinical response and therapeutic drug monitoring is recommended.     

Population pharmacokinetics of gliclazide in normal and diabetic rabbits

Gliclazide is a second‐generation sulphonylurea drug widely used in the treatment of type 2 diabetes. However, there is no single report to describe the population pharmacokinetics of gliclazide in animal models. This study was aimed to evaluate the population pharmacokinetics (PK) of gliclazide in normal and alloxan‐induced diabetic rabbits using nonlinear mixed effects modeling. A total of 90 New Zealand white rabbits were administered with three doses (4.13, 8.27 and 16.53 mg/kg b.wt) of gliclazide by an oral route. Blood samples were collected up to 24 hr and the gliclazide concentrations in rabbit were determined using the HPLC method. The non‐compartmental and classical compartmental PK analyses were performed using Phoenix WinNonlin. Population PK analysis of gliclazide was performed using nonlinear mixed‐effects model software NONMEM and Phoenix NLME considering the weight, age, sex, health and dose as covariates. The final population values for clearance (CL), volume of distribution (V) and the absorption rate constant (k_a) were 5270 ml/hr, 55700 ml and 0.708 hr^?1, respectively. The inter‐individual variability in gliclazide CL, V and k_a was 16.3%, 14.9% and 26.5%, respectively. There was no significant difference between NONMEM and Phoenix NLME pharmacokinetic results. The visual predictive check and bootstrap analysis confirmed the predictive ability, model stability and precision of the parameter estimates from this model. This population PK model demonstrated that gliclazide pharmacokinetics is best described by one‐compartment model with first‐order absorption in rabbits. Body weight is a covariate that significantly influences gliclazide kinetic disposition in rabbits.     

Clinical pharmacokinetics of atomoxetine

Atomoxetine (Strattera, a potent and selective inhibitor of the presynaptic norepinephrine transporter, is used clinically for the treatment of attention-deficit hyperactivity disorder (ADHD) in children, adolescents and adults. Atomoxetine has high aqueous solubility and biological membrane permeability that facilitates its rapid and complete absorption after oral administration. Absolute oral bioavailability ranges from 63 to 94%, which is governed by the extent of its first-pass metabolism. Three oxidative metabolic pathways are involved in the systemic clearance of atomoxetine: aromatic ring-hydroxylation, benzylic hydroxylation and N-demethylation. Aromatic ring-hydroxylation results in the formation of the primary oxidative metabolite of atomoxetine, 4-hydroxyatomoxetine, which is subsequently glucuronidated and excreted in urine. The formation of 4-hydroxyatomoxetine is primarily mediated by the polymorphically expressed enzyme cytochrome P450 (CYP) 2D6. This results in two distinct populations of individuals: those exhibiting active metabolic capabilities (CYP2D6 extensive metabolisers) and those exhibiting poor metabolic capabilities (CYP2D6 poor metabolisers) for atomoxetine.The oral bioavailability and clearance of atomoxetine are influenced by the activity of CYP2D6; nonetheless, plasma pharmacokinetic parameters are predictable in extensive and poor metaboliser patients. After single oral dose, atomoxetine reaches maximum plasma concentration within about 1-2 hours of administration. In extensive metabolisers, atomoxetine has a plasma half-life of 5.2 hours, while in poor metabolisers, atomoxetine has a plasma half-life of 21.6 hours. The systemic plasma clearance of atomoxetine is 0.35 and 0.03 L/h/kg in extensive and poor metabolisers, respectively. Correspondingly, the average steady-state plasma concentrations are approximately 10-fold higher in poor metabolisers compared with extensive metabolisers. Upon multiple dosing there is plasma accumulation of atomoxetine in poor metabolisers, but very little accumulation in extensive metabolisers. The volume of distribution is 0.85 L/kg, indicating that atomoxetine is distributed in total body water in both extensive and poor metabolisers. Atomoxetine is highly bound to plasma albumin (approximately 99% bound in plasma). Although steady-state concentrations of atomoxetine in poor metabolisers are higher than those in extensive metabolisers following administration of the same mg/kg/day dosage, the frequency and severity of adverse events are similar regardless of CYP2D6 phenotype.Atomoxetine administration does not inhibit or induce the clearance of other drugs metabolised by CYP enzymes. In extensive metabolisers, potent and selective CYP2D6 inhibitors reduce atomoxetine clearance; however, administration of CYP inhibitors to poor metabolisers has no effect on the steady-state plasma concentrations of atomoxetine.     

Population Pharmacokinetics of Telapristone (CDB-4124) and its Active Monodemethylated Metabolite CDB-4453, with a Mixture Model for Total Clearance

Telapristone is a selective progesterone antagonist that is being developed for the long-term treatment of symptoms associated with endometriosis and uterine fibroids. The population pharmacokinetics of telapristone (CDB-4124) and CDB-4453 was investigated using nonlinear mixed-effects modeling. Data from two clinical studies (n = 32) were included in the analysis. A two-compartment (parent) one compartment (metabolite) mixture model (with two populations for apparent clearance) with first-order absorption and elimination adequately described the pharmacokinetics of telapristone and CDB-4453. Telapristone was rapidly absorbed with an absorption rate constant (Ka) of 1.26 h⁻¹. Moderate renal impairment resulted in a 74% decrease in Ka. The population estimates for oral clearance (CL/F) for the two populations were 11.6 and 3.34 L/h, respectively, with 25% of the subjects being allocated to the high-clearance group. Apparent volume of distribution for the central compartment (V2/F) was 37.4 L, apparent inter-compartmental clearance (Q/F) was 21.9 L/h, and apparent peripheral volume of distribution for the parent (V4/F) was 120 L. The ratio of the fraction of telapristone converted to CDB-4453 to the distribution volume of CDB-4453 (Fmet_est) was 0.20/L. Apparent volume of distribution of the metabolite compartment (V3/F) was fixed to 1 L and apparent clearance of the metabolite (CLM/F) was 2.43 L/h. A two-compartment parent-metabolite model adequately described the pharmacokinetics of telapristone and CDB-4453. The clearance of telapristone was separated into two populations and could be the result of metabolism via polymorphic CYP3A5.KEY WORDS: CDB-4453, mixture model, parent-metabolite, population pharmacokinetics, telapristone (CDB-4124)     

Role of Cytochrome P450 3A4 and 1A2 Phenotyping in Patients with Advanced Non‐small‐Cell Lung Cancer Receiving Erlotinib Treatment

Erlotinib is metabolized by cytochrome p450 (CYP) 3A and CYP1A. This study assessed CYP3A4 (midazolam) and CYP1A2 (caffeine) phenotyping in plasma and dried blood spots (DBS) for predicting the pharmacokinetics and toxicity of erlotinib in 36 patients with advanced NSCLC. On day 1, erlotinib 150 mg OD was initiated, and the two oral probe drugs midazolam (2 mg) and caffeine (100 mg) were added on day 1. Plasma and DBS were collected for erlotinib, OSI‐420 and probe drugs for up to 6 hr on day 1 and 2‐weekly up to week 10. Probe drugs, erlotinib and OSI‐420 were analysed using LC‐MS‐MS, and PK data were processed using population modelling. A high correlation was found between plasma and DBS concentrations for erlotinib (R² = 0.960, p < 0.0001), OSI‐420 (R² = 0.971, p < 0.0001), midazolam (R² = 0.995, p < 0.0001) and caffeine (R² = 0.968, p < 0.0001). Apparent oral caffeine clearance was significantly correlated with erlotinib clearance (R² = 0.33, p = 0.048), while midazolam clearance was not (R² = ?0.09, p = 0.596). Erlotinib clearance was lower in patients experiencing grade 2 or 3 rash as compared to patients experiencing grade 0 or 1 rash (3.15 versus 3.93 L/hr, p = 0.086 for Student's t‐test). The results suggest that probe drug phenotyping is unlikely to substitute therapeutic drug monitoring of erlotinib in patients with advanced NSCLC, but erlotinib PK sampling from DBS may replace more invasive venous sampling and facilitate TDM in patients with cancer.     

The clinical pharmacokinetics of Lu AA21004 and its major metabolite in healthy young volunteers

Lu AA21004 is a novel multimodal antidepressant that is currently in phase 3 development. The objective of this report was to detail the clinical pharmacokinetics of Lu AA21004 and its major but inactive metabolite Lu AA34443 (3‐methyl‐4‐(2‐piperazine‐1‐yl‐phenylsulfanyl)‐benzoic acid) in healthy men and women aged between 18 and 53 years. Data from two single‐dose and one multiple‐dose study were combined; the total number of volunteers was 97 (64 men, 33 women). Blood and urine samples were collected after p.o. and i.v. administrations to determine the content of Lu AA21004 and Lu AA34443 performed with a validated method. Standard pharmacokinetic parameters were estimated with non‐compartmental analysis. The absolute bioavailability was 75%. After oral administration, Lu AA21004 showed an extended absorption phase, a medium clearance and a large volume of distribution resulting in late t_max values and a mean elimination half‐life of 57 hr. The exposure of Lu AA21004 showed a linear relationship with dose in the dose ranges studied (up to 75‐mg single dosing and 60‐mg multiple dosing). After weight correction, no differences in exposure for Lu AA21004 and Lu AA34443 were observed between men and women. The renal clearance of Lu AA21004 was negligible. The major metabolite Lu AA34443 had a half‐life similar to that of Lu AA21004 but a lower accumulation ratio at steady‐state, indicating formation‐rate‐limited elimination. In conclusion, Lu AA21004 showed an extended absorption phase, a medium clearance and a large volume of distribution.     

Ketoconazole inhibits the metabolism of tolterodine in subjects with deficient CYP2D6 activity

AIMS: To investigate the pharmacokinetics and safety of tolterodine and tolterodine metabolites after single-and multiple-dose administration in the absence and presence of ketoconazole, an inhibitor of cytochrome P450 (CYP) 3A4, in healthy volunteers with deficient CYP2D6 activity, i.e. poor metabolisers of debrisoquine. METHODS: Eight healthy volunteers received single oral doses (2 mg) of tolterodine l-tartrate. Following a wash-out period of about 3 months, six of the subjects participated in a multiple-dose (1 mg twice daily) phase of the study. Ketoconazole 200 mg was given once daily for 4-4.5 days during both the single and multiple dose tolterodine administration phases. Blood samples were drawn and the pharmacokinetics of tolterodine and its metabolites were determined. RESULTS: A decrease (P<0.01) in apparent oral clearance of tolterodine, from 10- 12 l h-1 to 4.3-4.7 l h-1, was obtained during concomitant administration of ketoconazole, yielding at least a two-fold increase in the area under the serum concentration-time curve after single as well as after multiple doses following single dose administration of tolterodine. The mean (+/-s.d.) terminal half-life increased by 50% from 9.7+/-2.7 h to 15+/-5.4 h in the presence of ketoconazole. CONCLUSIONS: CYP3A4 is the major enzyme involved in the elimination of tolterodine in individuals with deficient CYP2D6 activity (poor metabolisers), since oral clearance of tolterodine decreased by 60% during ketoconazole coadministration. This inhibition resulted in 2.1-fold increase in AUC.     

Population pharmacokinetics of mefloquine in military personnel for prophylaxis against malaria infection during field deployment

Objective The purpose of this study was to determine the population pharmacokinetics of mefloquine in healthy military personnel during prophylaxis for malaria infections. Methods The subjects were 1,111 Australian soldiers participating in two studies: a randomised double-blinded study (group A, 161 subjects) and an open-label study (group B, 950 subjects). Following a loading dose (250 mg mefloquine base daily, 3 days), subjects received an oral weekly maintenance dose of 250 mg over 6 months. Blood was collected after the last split loading dose then at weeks 4, 8 and 16 for group A, and at weeks 13 and 26 for group B. Plasma mefloquine concentrations were measured by high-performance liquid chromatography (HPLC). Pharmacokinetic modelling was performed using NONMEM. Results A two-compartment model with inter-occasion variability (IOV) for clearance satisfactorily described the pharmacokinetics. Typical values were clearance (CL/F, 2.09 l/h), central volume of distribution (V1/F, 528 l), absorption rate constant (KA, 0.24 h⁻¹⁾, inter-compartmental clearance (Q/F, 12.5 l/h), peripheral volume of distribution (V2/F, 483 l) and elimination half-life (t _1/2, 14.0 days). Weight had a positive influence on central volume but was insufficient to warrant dosage adjustments. The inter-individual variability (coefficient of variation, CV%) for CL/F and V1/F was 24.4% and 29.6%, respectively. The IOV for CL/F was 17.8%. The proportional residual error (CV%) for groups A and B was 11.5% and 19.5%, respectively, and the additive error standard deviation (SD) was 57 ng/ml and 149 ng/ml, respectively. Conclusion The typical parameter values were comparable with those estimated in much smaller cohorts of healthy subjects and in malaria patients treated with single-dose mefloquine. The lower unexplained variability in the blinded study suggested these subjects may have been more compliant in taking their medication than soldiers in the open-label study.     

Influence of CYP2D6, CYP3A4, CYP3A5 and ABCB1 Polymorphisms on Pharmacokinetics and Safety of Aripiprazole in Healthy Volunteers

The aim of this study was to investigate the effect of polymorphisms in cytochrome P450 (CYP) 2D6, CYP3A4 and CYP3A5 enzymes and in P‐glycoprotein (P‐gp) on the pharmacokinetics and safety of aripiprazole and, its active metabolite, dehydro‐aripiprazole, in 148 healthy volunteers from six bioequivalence trials receiving a single oral dose of aripiprazole. The plasma concentrations of both analytes were measured by LC‐MS/MS. CYP2D6 (*3,*4,*5,*6,*7,*9 and copy number variations), CYP3A4 (*20 and *22), CYP3A5*3 and C3435T, C1236T and G2677T/A in ABCB1 gene were determined. As the number of active CYP2D6 alleles decreased, AUC_0?t, C_max and t_1/2 of aripiprazole were higher and clearance of aripiprazole, AUC_0?t of dehydro‐aripiprazole and ratio dehydro‐aripiprazole/aripiprazole were lower. AUC_0?t of aripiprazole of poor metabolizer (PM) subjects was increased by 50% compared to extensive metabolizers (EM), and AUC_0?t of dehydro‐aripiprazole was decreased by 33%. ABCB1 1236TT subjects had a lower clearance of aripiprazole (p = 0.023) and AUC_0?t (p = 0.039) and C_max of dehydro‐aripiprazole (p = 0.036) compared to C/C. CYP3A5*3/*3 subjects had a 10% lower ratio dehydro‐aripiprazole/aripiprazole than *1/*3 (p = 0.019). Adverse drug reactions (ADRs) had a directly proportional relationship with AUC_0?t of aripiprazole (p = 0.001), especially nausea/vomiting, which were more common in women (p = 0.005). Women and CYP3A5*1/*1 subjects showed more often dizziness (p = 0.034; p = 0.009). Pharmacokinetics of aripiprazole is affected by CYP2D6 phenotype but also by sex and C1236T (ABCB1 gene), while dehydro‐aripiprazole pharmacokinetics is affected by CYP2D6 and C1236T. The ratio dehydro‐aripiprazole/aripiprazole was influenced by CYP2D6 phenotype and CYP3A5*3. Concentrations of aripiprazole, sex, CYP3A5*3 and CYP2D6 were involved in the development of ADRs.     

Nonlinear mixed effects model analysis of the pharmacokinetics of metoprolol in routinely treated Japanese patients

This study was performed to estimate the mean pharmacokinetic parameters of routinely administered metoprolol in middle-aged and elderly Japanese patients. Whole blood concentration data (65 samples) at steady-state following repetitive administration to 34 patients were analyzed using a nonlinear mixed effects model. A one-compartment model was parameterized in terms of oral clearance (CL/F) and apparent volume of distribution (V/F). We evaluated the effect of polymorphic alleles (CYP2D6*2, CYP2D6*10, CYP2C19*2 and CYP2C19*3), age, gender, and heart failure on the pharmacokinetic parameters of metoprolol. The CL/F value in patients homozygous for the CYP2D6*10 allele was 64% lower than that in patients with a CYP2D6*1/*1 or *1/*2 genotype. The CL/F value in older (>70 years old) patients was 26% lower than that in younger (< or = 70 years old) patients. In addition, the V/F value in patients homozygous for the CYP2D6*10 allele was 25% lower than that in patients with the CYP2D6*1/*1 or *1/*2 genotype. On the other hand, the CYP2C19 genotype, gender, and heart failure showed no significant effects on the pharmacokinetics of metoprolol. The results suggest that the pharmacokinetic variability of metoprolol in Japanese extensive metabolizers of CYP2D6 is very large, probably because CYP2D6*10 is responsible not only for the decreased systemic clearance (CL) but also for the increased bioavailability (F) of the drug.     

Multiple regression analysis of pharmacogenetic variability of carvedilol disposition in 54 healthy Japanese volunteers

The aim of this study was to evaluate the pharmacogenetic variability in the disposition of carvedilol in the Japanese population. Five or 10 mg of carvedilol was orally administered to 54 healthy Japanese subjects (22-44 years old), and blood samples were taken at 2 and 6 h after dosing. We determined the polymorphic alleles of CYP2D6, CYP2C9, CYP2C19, CYP3A5, UGT2B7, and MDR1 in each subject. The whole blood concentration of R- and S-carvedilol was measured by an HPLC method. The pharmacokinetic parameters in individual subjects were estimated by the Bayesian method using the nonlinear mixed effects model (NONMEM) program. We then examined the effect of the genetic polymorphisms on the variability in the pharmacokinetics of carvedilol using a multiple regression analysis. The oral clearance (CL/F) and also apparent volume of distribution (V/F) of both enantiomers were significantly lower in the subjects with the CYP2D6*10 allele than those with the CYP2D6*1/*1, *1/*2, or *2/*2 genotype, confirming our previous finding that the bioavailability (F) and systemic clearance (CL) of R- and S-carvedilol in the liver is significantly altered in Japanese with the CYP2D6*10 allele. On the other hand, CYP2C9*3, CYP2C19*2, CYP2C19*3, CYP3A5*3, UGT2B7*2, and MDR1 C3435T did not significantly affect the pharmacokinetics of carvedilol in Japanese subjects.     

Effect of enzyme inducing anticonvulsants on ethosuximide pharmacokinetics in epileptic patients

1 To assess the effect of enzyme inducing anticonvulsants on ethosuximide pharmacokinetics, plasma ethosuximide concentrations after a single oral dose (500  mg) of the drug were compared in 12 healthy control subjects and 10 epileptic patients receiving chronic therapy with phenobarbitone, phenytoin and/or carbamazepine.
2 Compared with controls, epileptic patients showed markedly shorter ethosuximide half-lives (29.0±7.8 vs 53.7±14.3  h, means±s.d., P< 0.001) and higher apparent oral clearance (CL/ F) values (15.3±3.8 vs 9.2±1.9  ml  kg⁻¹  h⁻¹, P< 0.001). The apparent volume of distribution ( V/F) of ethosuximide was slighty lower in the patients than in controls (0.6±0.1 vs 0.7±0.1  l  kg⁻¹, P< 0.05).
3 These findings provide evidence that ethosuximide elimination is increased by enzyme inducing anticonvulsants, the effect probably being mediated by stimulation of cytochrome CYP3A activity.
4 The enhancement of ethosuximide clearance in patients comedicated with enzyme inducing anticonvulsants is likely to be clinically relevant. Higher ethosuximide dosages will be required to achieve therapeutic drug concentrations in these patients.     

Pharmacokinetic variability of routinely administered bisoprolol in middle-aged and elderly Japanese patients

The nonlinear mixed effects model (NONMEM) was used to analyze the pharmacokinetics of routinely administered bisoprolol in middle-aged and elderly Japanese patients. The subjects consisted of 29 males and 11 females with a mean age of 63.5+/-10.1. Data on the plasma concentration of bisoprolol from 94 blood samples obtained at steady-state following repetitive oral administration were analyzed using the NONMEM program, where a one-compartment model with repetitive bolus dosing was parameterized in terms of oral clearance (CL/F) and apparent volume of distribution (V/F). Individual CL/F values were correlated with body weight (WT) and creatinine clearance (CLcr). The relation between CLcr and the CL/F of bisoprolol was not altered by the CYP2D6 and CYP2C19 genotypes, gender, or age. The mean CL/F value estimated with NONMEM was 0.0612.WT+1.15.CLcr (l/h), and the mean V/F value was 2.61.WT (l). The residual interindividual variability of CL/F and V/F were 22.0% and 12.6%, respectively. The pharmacokinetic variability of bisoprolol is small even in routinely treated Japanese patients, provided that both body weight and renal function are taken into account for the prediction of oral clearance of the drug.     

Population pharmacokinetic modelling of aripiprazole and its active metabolite,dehydroaripiprazole, in psychiatric patients

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT

• Almost all reported studies have investigated the pharmacokinetics of aripiprazole in healthy volunteers.
• The pharmacokinetics of dehydroaripiprazole have not been identified in a combined model with aripiprazole.

WHAT THIS STUDY ADDS

• The data on aripiprazole and dehydroaripiprazole in psychiatric patients were modelled jointly using a population approach.
• The apparent clearance of aripiprazole in cytochrome P450 (CYP) 2D6 intermediate metabolizers (IM) was approximately 60% of that in CYP2D6 extensive metabolizers (EM) having two functional alleles, but the exposure to dehydroaripiprazole in CYP2D6 IM was similar to that in EM.

AIMS

The aims of this study were to develop a combined population pharmacokinetic model for both aripiprazole and its active metabolite, dehydroaripiprazole, in psychiatric patients and to identify to what extent the genetic polymorphisms of cytochrome P450 (CYP) enzymes contribute to the variability in pharmacokinetics (PK).

METHODS

A population pharmacokinetic analysis was performed using NONMEM software based on 141 plasma concentrations at steady state from 80 patients receiving multiple oral doses of aripiprazole (10–30 mg day¹).

RESULTS

A one-compartment model with first-order kinetics for aripiprazole and dehydroaripiprazole each was developed to describe simultaneously the concentration data. The absorption rate constant was fixed to 1.06 h¹. The typical value of apparent distribution volume of aripiprazole was estimated to be 192 l. Covariate analysis showed that CYP2D6 genetic polymorphisms significantly influenced the apparent clearance of aripiprazole (CL/F), reducing the interindividual variability on CL/F from 37.8% CV (coefficient of variation) to 30.5%. The CL/F in the CYP2D6 IMs was approximately 60% of that in CYP2D6 EMs having two functional alleles. Based on the CYP2D6 genotype, the metabolic ratios were calculated at 0.20–0.34. However, the plasma concentration : dose ratios of dehydroaripiprazole were not different across the CYP2D6 genotype.

CONCLUSIONS

This population pharmacokinetic model provided an adequate fit to the data for both aripiprazole and dehydroaripiprazole in psychiatric patients. The usefulness of CYP genotyping as an aid to select the starting dose should be further investigated.     

In vivo CYP3A4 activity does not predict the magnitude of interaction between itraconazole and tacrolimus from an extended release formulation

The magnitude of interaction between the CYP3A4 substrate tacrolimus and various CYP3A4 inhibitors is highly unpredictable. We investigated whether an individual's baseline in vivo CYP3A4 activity, assessed using the oral midazolam (MDZ) probe, could be used to predict the magnitude of drug–drug interaction between tacrolimus and the potent CYP3A4 inhibitor itraconazole. In a prospective single‐arm open‐label study, 16 healthy volunteers were administered single doses of MDZ and tacrolimus before and after a 4‐day course of itraconazole. Itraconazole treatment resulted in a 9.0‐fold decrease in MDZ apparent oral clearance (CL/F) and a 3.3‐fold decrease in tacrolimus CL/F (P < 0.001 for each). MDZ CL/F and tacrolimus CL/F were positively correlated both at baseline (r = 0.582, P = 0.018) and after itraconazole (r = 0.811, P < 0.001). Furthermore, baseline MDZ CL/F was positively correlated to the fold change in MDZ CL/F resulting from CYP3A4 inhibition (r = 0.759, P = 0.001). However, no predictors of change in tacrolimus CL/F resulting from CYP3A4 inhibition were identified, including baseline MDZ CL/F (P = 0.453), baseline tacrolimus CL/F (P = 0.759) and fold change in MDZ CL/F between both phases (P = 0.274). In conclusion, baseline oral MDZ clearance does not predict the magnitude of interaction between tacrolimus and itraconazole.     

Theophylline Pharmacokinetics in Foetal Sheep: Maternal Metabolic Capacity is the Principal Driver

Understanding theophylline pharmacokinetics (PK) in the foetus is essential to prevent in utero toxicity and optimize prophylactic therapies. Previous studies in pregnancy have been obfuscated by maternal dosing and inadequate sampling in the foetus; both render modelling of foetal PK difficult. Six ewes carrying singleton foetuses received theophylline (60 mg) into the foetal jugular vein. Blood samples were drawn from the foetus and ewe over 36 hr. Serum concentrations were measured. Maternal and foetal pharmacokinetic parameters were estimated. Foetal non‐compartmental pharmacokinetic parameters were as follows: half‐life 7.37 ± 1.22 hr; volume of distribution 44.62 ± 11.45 L; area under the curve 14.82 ± 2.71 hr/(μg/mL); and clearance 4.15 ± 0.70 L/hr. Rapid theophylline distribution across the placenta was observed. Maternal non‐compartmental pharmacokinetic parameters were as follows: half‐life 6.54 ± 2.44 hr; volume of distribution 32.48 ± 9.99 L; area under the curve 16.28 ± 4.53 hr/(μg/mL); and clearance 3.69 ± 1.47 L/hr. Foetal and ewe serum concentration–time profiles were fit together into a 3‐compartment population pharmacokinetic model, and parameters were as follows: central volume 1.38 ± 0.11 L; 2nd peripheral compartment volume 3.11 ± 0.29 L; 3rd peripheral compartment volume 60.14 ± 6.02 L; elimination clearance 9.89 ± 0.90 L/hr; distribution clearance between central and 2nd compartment 30.87 ± 2.31 L/hr; and distribution clearance between 2nd and 3rd compartments 13.89 ± 1.11 L/hr. Cytochrome P4501A expression was robust in maternal liver; negligible activities were observed in placenta, foetal liver and foetal kidney. In vitro protein binding of theophylline was 30% lower in foetal serum compared to maternal serum (29.7 ± 4.4 versus 42.0 ± 3.6%‐bound). Free concentrations were lower in the foetus than in the ewe, suggesting active transport across placenta. In summary, foetal clearance of theophylline is attributable to rapid distribution into the maternal circulation across the placenta followed by greater maternal protein binding and metabolic activity.