Application of a Rat Liver Drug Bioactivation Transcriptional Response Assay Early in Drug Development That Informs Chemically Reactive Metabolite Formation and Potential for Drug-induced Liver Injury.

Drug-induced liver injury is a major reason for drug candidate attrition from development, denied commercialization, market withdrawal, and restricted prescribing of pharmaceuticals. The metabolic bioactivation of drugs to chemically reactive metabolites (CRMs) contribute to liver-associated adverse drug reactions in humans that often goes undetected in conventional animal toxicology studies. A challenge for pharmaceutical drug discovery has been reliably selecting drug candidates with a low liability of forming CRM and reduced drug-induced liver injury potential, at projected therapeutic doses, without falsely restricting the development of safe drugs. We have developed an in vivo rat liver transcriptional signature biomarker reflecting the cellular response to drug bioactivation. Measurement of transcriptional activation of integrated nuclear factor erythroid 2-related factor 2 (NRF2)/Kelch-like ECH-associated protein 1 (KEAP1) electrophilic stress, and nuclear factor erythroid 2-related factor 1 (NRF1) proteasomal endoplasmic reticulum (ER) stress responses, is described for discerning estimated clinical doses of drugs with potential for bioactivation-mediated hepatotoxicity. The approach was established using well benchmarked CRM forming test agents from our company. This was subsequently tested using curated lists of commercial drugs and internal compounds, anchored in the clinical experience with human hepatotoxicity, while agnostic to mechanism. Based on results with 116 compounds in short-term rat studies, with consideration of the maximum recommended daily clinical dose, this CRM mechanism-based approach yielded 32% sensitivity and 92% specificity for discriminating safe from hepatotoxic drugs. The approach adds new information for guiding early candidate selection and informs structure activity relationships (SAR) thus enabling lead optimization and mechanistic problem solving. Additional refinement of the model is ongoing. Case examples are provided describing the strengths and limitations of the approach.

Comparison of Deconvolution-Based and Absorption Modeling IVIVC for Extended Release Formulations of a BCS III Drug Development Candidate.

In vitro-in vivo correlations (IVIVC) are predictive mathematical models describing the relationship between dissolution and plasma concentration for a given drug compound. The traditional deconvolution/convolution-based approach is the most common methodology to establish a level A IVIVC that provides point to point relationship between the in vitro dissolution and the in vivo input rate. The increasing application of absorption physiologically based pharmacokinetic model (PBPK) has provided an alternative IVIVC approach. The current work established and compared two IVIVC models, via the traditional deconvolution/convolution method and via absorption PBPK modeling, for two types of modified release (MR) formulations (matrix and multi-particulate tablets) of MK-0941, a BCS III drug development candidate. Three batches with distinct release rates were studied for each formulation technology. A two-stage linear regression model was used for the deconvolution/convolution approach while optimization of the absorption scaling factors (a model parameter that relates permeability and input rate) in Gastroplus(TM) Advanced Compartmental Absorption and Transit model was used for the absorption PBPK approach. For both types of IVIVC models established, and for either the matrix or the multiparticulate formulations, the average absolute prediction errors for AUC and C max were below 10% and 15%, respectively. Both the traditional deconvolution/convolution-based and the absorption/PBPK-based level A IVIVC model adequately described the compound pharmacokinetics to guide future formulation development. This case study highlights the potential utility of absorption PBPK model to complement the traditional IVIVC approaches for MR products.

Pharmacokinetic/pharmacodynamic-based decision making in the development of MK-0888, a VEGFR-2/FLT-3 kinase inhibitor.

PURPOSE: MK-0888 is an investigational VEGFR-2 inhibitor with demonstrated potent in vitro enzyme activity. Clinical investigation in healthy volunteers and cancer patients was undertaken to evaluate its pharmacokinetic properties and early safety profile. Early data were used to guide whether further clinical development was warranted. METHODS: Five phase I studies were conducted. Studies 1-4 were conducted in healthy male volunteers and examined safety and pharmacokinetics across a dose range of 0.5-100 mg. Single-dose and limited multiple-dose escalations were performed. Three formulations and food effect were assessed. Study 5 was a dose escalation study in cancer patients, evaluating pharmacokinetics and safety at doses of 6-100 mg administered up to twice daily. RESULTS: Safety: MK-0888 was generally well tolerated in healthy volunteers at single doses up to 100 mg and in cancer patients at doses up to 100 mg twice daily. Pharmacokinetics: After single-dose administration, MK-0888 was readily absorbed with a T(max) of 4-5 h and a half-life of 11.3-22.7 h. AUC, C(max), and C(24h) increased in a slightly less than dose proportional manner. With longer duration multiple-dose administration (2 weeks), trough concentrations decreased from Day 2 at doses of 50 mg twice daily and higher, suggestive of autoinduction of metabolism. The efficacious trough pharmacokinetic target was not attained at steady state. CONCLUSIONS: The pharmacokinetic behavior of MK-0888 does not support continued development. The early pharmacokinetic profile of the compound provides important information as to the probability of success of MK-0888 achieving efficacious exposures.

Lack of meaningful effect of ridaforolimus on the pharmacokinetics of midazolam in cancer patients: model prediction and clinical confirmation.

Ridaforolimus, a unique non-prodrug analog of rapamycin, is a potent inhibitor of mTOR under development for cancer treatment. In vitro data suggest ridaforolimus is a reversible and time-dependent inhibitor of CYP3A. A model-based evaluation suggested an increase in midazolam area under the curve (AUC(0- ∞)) of between 1.13- and 1.25-fold in the presence of therapeutic concentrations of ridaforolimus. The pharmacokinetic interaction between multiple oral doses of ridaforolimus and a single oral dose of midazolam was evaluated in an open-label, fixed-sequence study, in which cancer patients received a single oral dose of 2 mg midazolam followed by 5 consecutive daily single oral doses of 40 mg ridaforolimus with a single dose of 2 mg midazolam with the fifth ridaforolimus dose. Changes in midazolam exposure were minimal [geometric mean ratios and 90% confidence intervals: 1.23 (1.07, 1.40) for AUC(0-∞) and 0.92 (0.82, 1.03) for maximum concentrations (C(max)), respectively]. Consistent with model predictions, ridaforolimus had no clinically important effect on midazolam pharmacokinetics and is not anticipated to be a perpetrator of drug-drug interactions (DDIs) when coadministered with CYP3A substrates. Model-based approaches can provide reasonable estimates of DDI liability, potentially obviating the need to conduct dedicated DDI studies especially in challenging populations like cancer patients.

Clinical pharmacology profile of vorinostat, a histone deacetylase inhibitor.

PURPOSE: Vorinostat is a histone deacetylase inhibitor that has demonstrated preclinical activity in numerous cancer models. Clinical activity has been demonstrated in patients with a variety of malignancies. Vorinostat is presently indicated for the treatment of patients with advanced cutaneous T cell lymphoma (CTCL). Clinical investigation is ongoing for therapy of other solid tumors and hematological malignancies either as monotherapy or in combination with other chemotherapeutic agents. This review summarizes the pharmacokinetic properties of vorinostat. METHODS: Monotherapy pharmacokinetic data across a number of pharmacokinetic studies were reviewed, and data are presented. In addition, literature review was performed to obtain published Phase I and II pharmacokinetic combination therapy data to identify and characterize potential drug interactions with vorinostat. Pharmacokinetic data in special populations were also reviewed. RESULTS: The clinical pharmacology profile of vorinostat is favorable, exhibiting dose-proportional pharmacokinetics and modest food effect. There appear to be no major differences in the pharmacokinetics of vorinostat in special populations, including varying demographics and hepatic dysfunction. Combination therapy pharmacokinetic data indicate that vorinostat has a low propensity for drug interactions. CONCLUSIONS: Vorinostat's favorable clinical pharmacology and drug interaction profile aid in the ease of administration of vorinostat for the treatment of advanced CTCL and will be beneficial in continued assessment for other oncologic indications. Although a number of studies have been conducted to elucidate the detailed pharmacokinetic profile of vorinostat, more rigorous assessment of vorinostat pharmacokinetics, including clinical drug interaction studies, will be informative.

Merck's perspective on the implementation of dried blood spot technology in clinical drug development - why, when and how.

This paper communicates Merck's thoughts on why, when and how to use dried blood spot (DBS) technology in a clinical setting, and provides a strategic approach, emphasizing the necessary steps, for successful clinical implementation of this microsampling technique. PK consideration based on relevant in vitro data, that is, blood-to-plasma ratio, hematocrit, plasma unbound fraction and/or blood cell partition, is suggested to be part of the decision tree on when to choose DBS as a surrogate matrix for PK analysis. A quick feasibility assessment addressing analytical challenges, including sensitivity, hematocrit impact and storage stability, needs to be evaluated before initiating DBS studies. Special attention should be paid to the clinical sample collection procedures to ensure data quality. Bridging studies are required to establish the correlation between plasma and DBS data to ensure that pooling of data from the various clinical studies can be used in population PK or PK/PD assessment. Seeking regulatory feedback and guidance on a case-by-case basis is recommended.

A single supratherapeutic dose of ridaforolimus does not prolong the QTc interval in patients with advanced cancer.

PURPOSE: This dedicated QTc study was designed to evaluate the effect of the mammalian target of rapamycin inhibitor, ridaforolimus, on the QTc interval in patients with advanced malignancies. METHODS: We conducted a fixed-sequence, single-blind, placebo-controlled study. Patients (n = 23) received placebo on day 1 and a single 100-mg oral dose of ridaforolimus on day 2 in the fasted state. Holter electrocardiogram (ECG) monitoring was performed for 24 h after each treatment, and blood ridaforolimus concentrations were measured for 24 h after dosing. The ECGs were interpreted in a blinded fashion, and the QT interval was corrected using Fridericia's formula (QTcF). After a washout of at least 5 days, 22 patients went on to receive a therapeutic regimen of ridaforolimus (40 mg orally once daily for 5 days per week). RESULTS: The upper limit of the two-sided 90 % confidence interval for the placebo-adjusted mean change from baseline in QTcF was <10 ms at each time point. No patient had a QTcF change from baseline >30 ms or QTcF interval >480 ms. Geometric mean exposure to ridaforolimus after the single 100-mg dose was comparable to previous experience with the therapeutic regimen. There appeared to be no clear relationship between individual QTcF change from baseline and ridaforolimus blood concentrations. Ridaforolimus was generally well tolerated, with adverse events consistent with prior studies. CONCLUSIONS: Administration of the single 100-mg dose of ridaforolimus did not cause a clinically meaningful prolongation of QTcF, suggesting that patients treated with ridaforolimus have a low likelihood of delayed ventricular repolarization.

The minimal impact of food on the pharmacokinetics of ridaforolimus.

PURPOSE: Ridaforolimus, a potent inhibitor of the mammalian target of rapamycin (mTOR), is under development for the treatment for solid tumors. This open-label, randomized, 3-period crossover study investigated the effect of food on the pharmacokinetics of ridaforolimus 40 mg as well as safety and tolerability of the study medication. METHODS: Ridaforolimus was administered to 18 healthy, male subjects (mean age 36.4 years) in the fasted state, following ingestion of a light breakfast, and following a high-fat breakfast. Whole blood samples were collected from each subject pre-dose and 1, 2, 3, 4, 6, 8, 24, 48, 72, 96, and 168 h post-dose. RESULTS: The geometric mean (95 % confidence interval, CI) fasted blood area under the curve (AUC(0-∞)) and maximum concentration (C(max)) were 1940 (1510, 2500) ng h/mL and 116 (87, 156) ng/mL, respectively, and median time to C(max) (T(max)) and average apparent terminal half-life (t(1/2)) were 6.0 and 64.5 h, respectively. Both T(max) and t(1/2) were similar in the fasted and fed states. With a light breakfast, the geometric mean intra-individual ratios (GMRs) for AUC(0-∞) and C(max) (fed/fasted) and 90 % CIs were 1.06 (0.85, 1.32) and 1.15 (0.83, 1.60); following a high-fat breakfast, the AUC(0-∞) and C(max) GMRs (90 % CI) were 1.46 (1.18, 1.81) and 1.12 (0.81, 1.53), respectively. CONCLUSIONS: Increases in ridaforolimus exposure following both the light and high-fat breakfasts were not considered to be clinically meaningful. Ridaforolimus was generally well tolerated, and there were no discontinuations due to drug-related AEs. Ridaforolimus should be given without regard to food.

The effect of multiple doses of rifampin and ketoconazole on the single-dose pharmacokinetics of ridaforolimus.

PURPOSE: Ridaforolimus is an inhibitor of the mammalian target of rapamycin protein, with potent activity in vitro and in vivo. Ridaforolimus is primarily cleared by metabolism via cytochrome P450 3A (CYP3A) and is a P-glycoprotein (P-gp) substrate. Since potential exists for ridaforolimus to be co-administered with agents that affect CYP3A and P-gp activity, this healthy volunteer study was conducted to assess the effect of rifampin or ketoconazole on ridaforolimus pharmacokinetics. METHODS: Part 1: single-dose ridaforolimus 40 mg followed by rifampin 600 mg daily for 21 days and singledose ridaforolimus 40 mg on day 14. Part 2: single-dose ridaforolimus 5 mg followed by ketoconazole 400 mg daily for 14 days and single-dose ridaforolimus 2 mg on day 2. RESULTS: Part 1: the geometric mean ratios (GMRs) (90% confidence interval [CI]) for ridaforolimus area under the concentration-time curve to the last time point with a detectable blood concentration (AUC0-∞) and maximum blood concentration (Cmax) (rifampin + ridaforolimus/ ridaforolimus) were 0.57 (0.41, 0.78) and 0.66 (0.49, 0.90), respectively. Both time to Cmax (Tmax) and apparent halflife (t1/2) were similar. Part 2: the GMRs (90% CI) based on dose-normalized AUC0-∞ and Cmax (ketoconazole + ridaforolimus/ridaforolimus alone) were 8.51 (6.97, 10.39) and 5.35 (4.40, 6.52), respectively. Ridaforolimus apparent t1/2 was *1.5-fold increased for ketoconazole ? ridaforolimus; however, Tmax values were similar. CONCLUSIONS: Rifampin and ketoconazole both have a clinically meaningful effect on the pharmacokinetics of ridaforolimus.

A phase I trial of MK-0731, a kinesin spindle protein (KSP) inhibitor, in patients with solid tumors.

PURPOSE: The kinesin spindle protein (KSP) is essential for separation of spindle poles during mitosis. Its inhibition results in mitotic arrest. This phase I trial examined safety, tolerability, dose-limiting toxicity (DLT), maximum tolerated dose (MTD), pharmacokinetic parameters, and anti-tumor activity of MK-0731, a potent inhibitor of KSP. EXPERIMENTAL DESIGN: In part 1, patients with advanced solid tumors received MK-0731 intravenously over 24 h every 21 days starting at 6 mg/m(2), escalating until MTD was reached. In part 2, patients with taxane-resistant tumors received the MTD. Plasma samples were collected to analyze the pharmacokinetics of MK-0731. Tumor response was evaluated using Response Evaluation Criteria in Solid Tumors (RECIST) v1.0. RESULTS: In part 1, 21 patients (median age 63 years) were treated with MK-0731 at doses ranging from 6 to 48 mg/m(2)/24 h for median four cycles. The dose-limiting toxicity was neutropenia and the MTD was 17 mg/m(2)/24 h. At the MTD, AUC (±SD) was 10.5 (±7.3) µM × hour, clearance (±SD) was 153 mL/min (±84), and t(1/2) was 5.9 h. In part 2, 22 patients received the MTD and there were no DLTs. Although there were no objective tumor responses, four patients (with cervical, non-small cell lung, and ovarian cancers) had prolonged stable disease. CONCLUSIONS: MK-0731 at the MTD of 17 mg/m(2)/day every 21 days in patients with solid tumors had few grade 3 and 4 toxicities with the major DLTs at higher doses being myelosuppression. Anti-tumor efficacy was suggested by the length of stable disease in selected patients with taxane-resistant tumors.

Examination of the effect of increasing doses of etoricoxib on oral methotrexate pharmacokinetics in patients with rheumatoid arthritis.

The authors designed 2 randomized controlled studies to examine the effects of etoricoxib 60 to 120 mg daily on methotrexate pharmacokinetics in 50 rheumatoid arthritis (RA) patients on stable doses of methotrexate (7.5-20 mg). Patients received oral methotrexate at baseline and on days 7 and 14. In study 1, patients received etoricoxib 60 mg (days 1-7) and then 120 mg (days 8-14); in study 2, patients received etoricoxib 90 mg (days 1-7) and then 120 mg (days 8-14). For study 1, the AUC(0-infinity) geometric mean ratio (GMR) (90% confidence interval [CI]) for day 7 versus baseline was 1.01 (0.91, 1.12) for etoricoxib 60 mg; the area under the plasma concentration-time curve from zero to infinity (AUC(0-infinity)) GMR (90% CI) for day 14 was 1.28 (1.15, 1.42) for etoricoxib 120 mg. For study 2, the AUC(0-infinity) GMR (90% CI) for day 7 versus baseline was 1.07 (1.01, 1.13) for etoricoxib 90 mg; the AUC(0-infinity) GMR (90% CI) for day 14 was 1.05 (0.99, 1.11) for etoricoxib 120 mg. In summary, etoricoxib 60 and 90 mg had no effect on methotrexate plasma concentrations. Although no effect on methotrexate pharmacokinetics was observed with etoricoxib 120 mg in study 2, GMR AUC(0-infinity) fell outside the prespecified bounds in study 1. Standard monitoring of methotrexate-related toxicity should be continued when etoricoxib and methotrexate are administered concurrently, especially with doses >90 mg etoricoxib.

A 1-step Bayesian predictive approach for evaluating in vitro in vivo correlation (IVIVC).

IVIVC (in vitro in vivo correlation) methods may support approving a change in formulation of a drug using only in vitro dissolution data without additional bioequivalence trials in human subjects. Most current IVIVC methods express the in vivo plasma concentration of a drug formulation as a function of the cumulative in vivo absorption. The absorption is not directly observable, so is estimated by the cumulative dissolution of the drug formulation in in vitro dissolution trials. The calculations conventionally entail the complex and potentially unstable mathematical operations of convolution and deconvolution, or approximations aimed at omitting their need. This paper describes, and illustrates with data on a controlled-release formulation, a Bayesian approach to evaluating IVIVC that does not require convolution, deconvolution or approximation. This approach incorporates between- and within-subject (or replicate) variability without assuming asymptotic normality. The plasma concentration curve is expressed in terms of the in vitro dissolution percentage instead of time, recognizing that this correspondence may be noisy because of the various sources of error. All conventional functions of the concentration curve such as AUC, C(max) and T(max) can be expressed in terms of dissolution percentage, with uncertainties arising from variability in measuring absorption and dissolution accounted for explicitly.

In vitro and in vivo properties of 3-tert-butyl-7-(5-methylisoxazol-3-yl)-2-(1-methyl-1H-1,2,4-triazol-5-ylmethoxy)-pyrazolo[1,5-d]-[1,2,4]triazine (MRK-016), a GABAA receptor alpha5 subtype-selective inverse agonist.

3-tert-Butyl-7-(5-methylisoxazol-3-yl)-2-(1-methyl-1H-1,2,4-triazol-5-ylmethoxy)-pyrazolo[1,5-d][1,2,4]triazine (MRK-016) is a pyrazolotriazine with an affinity of between 0.8 and 1.5 nM for the benzodiazepine binding site of native rat brain and recombinant human alpha1-, alpha2-, alpha3-, and alpha5-containing GABA(A) receptors. It has inverse agonist efficacy selective for the alpha5 subtype, and this alpha5 inverse agonism is greater than that of the prototypic alpha5-selective compound 3-(5-methylisoxazol-3-yl)-6-[(1-methyl-1,2,3-triazol-4-hdyl)methyloxy]-1,2,4-triazolo[3,4-a]phthalazine (alpha5IA). Consistent with its greater alpha5 inverse agonism, MRK-016 increased long-term potentiation in mouse hippocampal slices to a greater extent than alpha5IA. MRK-016 gave good receptor occupancy after oral dosing in rats, with the dose required to produce 50% occupancy being 0.39 mg/kg and a corresponding rat plasma EC(50) value of 15 ng/ml that was similar to the rhesus monkey plasma EC(50) value of 21 ng/ml obtained using [(11)C]flumazenil positron emission tomography. In normal rats, MRK-016 enhanced cognitive performance in the delayed matching-to-position version of the Morris water maze but was not anxiogenic, and in mice it was not proconvulsant and did not produce kindling. MRK-016 had a short half-life in rat, dog, and rhesus monkey (0.3-0.5 h) but had a much lower rate of turnover in human compared with rat, dog, or rhesus monkey hepatocytes. Accordingly, in human, MRK-016 had a longer half-life than in preclinical species ( approximately 3.5 h). Although it was well tolerated in young males, with a maximal tolerated single dose of 5 mg corresponding to an estimated occupancy in the region of 75%, MRK-016 was poorly tolerated in elderly subjects, even at a dose of 0.5 mg, which, along with its variable human pharmacokinetics, precluded its further development.

The effect of etoricoxib on the pharmacokinetics of oral contraceptives in healthy participants.

The pharmacokinetics of oral contraceptive (OC) components, ethinyl estradiol (EE) and norethindrone (NET), were evaluated after coadministration with etoricoxib in 3 double-blind, randomized, 2-period crossover studies of healthy women. There were 16, 39, and 24 participants enrolled in studies 1 (part I, part II), and 2, respectively. Each participant received triphasic OC (EE 35 microg/NET 0.5 mgx7 days, 0.75 mgx7 days, 1.0 mgx7 days) throughout each 28-day period. OC was coadministered with 21 days of etoricoxib daily followed by placebo for 7 days; the alternate period followed the reverse regimen (placebo to etoricoxib). Study 1 (part I) examined concurrent (morning) administration of OC/etoricoxib 120 mg, study 1 (part II) examined staggered (morning/night) administration of OC/etoricoxib 120 mg, and study 2 examined concurrent (morning) administration of OC/etoricoxib 60 mg. Coadministration of OC and etoricoxib 120 mg once daily was associated with a approximately 50% to 60% increase in EE concentrations, whereas etoricoxib 60 mg once daily was associated with a approximately 37% increase in EE concentrations. Coadministration of OC and etoricoxib was generally well tolerated. A clinically important change in NET AUC0-24 h was not observed. Adverse events included dyspepsia, diarrhea, headache, nausea, fatigue, loss of appetite, and taste disturbance.

Tolerability, pharmacokinetics and night-time effects on postural sway and critical flicker fusion of gaboxadol and zolpidem in elderly subjects.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Body sway increases in older adults and may lead to an increase in the risk of falling. The problem of impaired stability in the elderly may be compounded by the use of hypnotics, which have been associated with an increased risk of next-day falls as well as drowsiness. The potential adverse effects of hypnotic drugs on steadiness may be exacerbated during the night, in the event that an individual needs to get out of bed. WHAT THIS STUDY ADDS: This study examines the effects of gaboxadol (an investigational treatment for insomnia), zolpidem (a current hypnotic included as an active control) and placebo on body sway and attention/information processing ability following bedtime dosing in elderly subjects who were woken during the night for assessments. Zolpidem and gaboxadol increased body sway at various time points during the night relative to placebo; at 1.5 h post dose, the time of peak concentrations of both drugs, gaboxadol produced less impairment than zolpidem. Compared with placebo, neither gaboxadol nor zolpidem impaired attention/information-processing ability as assessed by critical flicker fusion. AIMS: To evaluate tolerability, pharmacokinetics and night-time effects on body sway and critical flicker fusion (CFF) of gaboxadol following bedtime dosing in healthy elderly subjects. METHODS: Subjects (17 women, seven men) aged 65-75 years received gaboxadol 10 mg, zolpidem 5 mg (active control) or placebo at 22.00 h in a three-period, randomized, double-blind crossover study. They were awakened during the night for evaluation of body sway and CFF. Pharmacokinetics of gaboxadol were assessed during a fourth single-blind treatment period. Adverse events were recorded throughout the study. RESULTS: The number of subjects with adverse events was 14 for gaboxadol 10 mg, seven for zolpidem and nine for placebo; most were mild or moderate in intensity. Two women discontinued the study following gaboxadol; one vomited and one experienced a severe vasovagal syncope after venepuncture. Mean gaboxadol t(max) was 2 h, t((1/2)) was 1.7 h, AUC(0-infinity) was 430 ng.h ml(-1) and C(max) was 139 ng ml(-1). At 1.5 h and 4 h post dose, zolpidem increased body sway relative to placebo (P < 0.01). Gaboxadol increased body sway at 4 h (P < 0.001) and 8 h (P < 0.05) relative to placebo. At 1.5 h, the time point closest to peak drug concentrations, zolpidem increased body sway compared with gaboxadol (P < 0.01). Gaboxadol and zolpidem had no effects on CFF vs. placebo. CONCLUSIONS: A bedtime dose of gaboxadol 10 mg was generally well tolerated. Changes in body sway at 1.5 h after bedtime dosing were smaller with gaboxadol 10 mg than with zolpidem 5 mg, whereas changes were similar at 4 h for both treatments and returned to near baseline at 8 h.

Evaluation of the pharmacokinetics of digoxin in healthy subjects receiving etoricoxib.

AIMS: Digoxin is a commonly prescribed cardiac glycoside with a narrow therapeutic index. The aim was to investigate whether the cyclooxygenase-2 selective nonsteroidal anti-inflammatory drug etoricoxib affects the steady-state pharmacokinetics of digoxin. METHODS: This was a double-blind, randomized, placebo-controlled, two-period cross-over study. In each period, 14 healthy volunteers ranging in age from 21 to 35 years received oral digoxin 0.25 mg daily and were randomized to either etoricoxib 120 mg or matching placebo tablets once daily for 10 days. Trough digoxin plasma concentrations were analysed by linear regression to examine digoxin accumulation over time. RESULTS: The geometric mean ratios (etoricoxib/placebo) for AUC(0-24h), C(max) and urinary excretion were 1.06 (90% confidence interval 0.97, 1.17), 1.33 (1.21, 1.46) and 1.10 (1.00, 1.20), respectively. The median (range) for digoxin T(max) (h) values with etoricoxib and placebo were 0.5 (0.5, 1.5) and 1.0 (0.5, 1.5), respectively. Steady-state digoxin plasma concentrations were achieved by day 7 in each treatment period. No serious adverse experiences were reported. CONCLUSIONS: Although etoricoxib 120 mg did produce an approximately 33% increase in digoxin C(max), this increase does not appear to be clinically meaningful, as cardiotoxicity with digoxin has been associated with elevations in steady-state rather than peak concentrations. From these results, it appears that etoricoxib does not cause any changes in digoxin steady-state pharmacokinetics that would necessitate a dose adjustment.

Multiple-dose pharmacokinetics, pharmacodynamics, and safety of taranabant, a novel selective cannabinoid-1 receptor inverse agonist, in healthy male volunteers.

Taranabant is a cannabinoid-1 receptor inverse agonist for the treatment of obesity. This study evaluated the safety, pharmacokinetics, and pharmacodynamics of taranabant (5, 7.5, 10, or 25 mg once daily for 14 days) in 60 healthy male subjects. Taranabant was rapidly absorbed, with a median t(max) of 1.0 to 2.0 hours and a t(1/2) of approximately 74 to 104 hours. Moderate accumulation was observed in C(max) (1.18- to 1.40-fold) and AUC(0-24 h) (1.5- to 1.8-fold) over 14 days for the 5-, 7.5-, and 10-mg doses, with an accumulation half-life ranging from 15 to 21 hours. Steady state was reached after 13 days. After multiple-dose administration, plasma AUC(0-24 h) and C(max) of taranabant increased dose proportionally (5-10 mg) and increased somewhat less than dose proportionally for 25 mg. Taranabant was generally well tolerated up to doses of 10 mg and exhibited multiple-dose pharmacokinetics consistent with once-daily dosing.

Safety, tolerability, pharmacokinetics, and pharmacodynamic properties of taranabant, a novel selective cannabinoid-1 receptor inverse agonist, for the treatment of obesity: results from a double-blind, placebo-controlled, single oral dose study in healthy volunteers.

Taranabant is a novel cannabinoid CB-1 receptor (CB1R) inverse agonist in clinical development for the treatment of obesity. This double-blind, randomized, placebo-controlled, single oral dose study evaluated the safety, tolerability, pharmacokinetics, and pharmacodynamics of taranabant (0.5-600 mg) in 24 healthy male volunteers. Single-dose AUC(0-infinity) and C(max) values for taranabant increased approximately linearly with dose up to 200 mg, with slightly less than dose-proportional increases in AUC(0-infinity) and C(max) values for doses >200 mg. Plasma taranabant had a biphasic disposition, with a median t(max) of 1 to 2.5 hours and a terminal elimination t((1/2)) of 38 to 69 hours. Coadministration of taranabant with a high-fat meal led to a 14% increase in C(max) and a 74% increase in AUC(0-infinity). Clinical adverse experiences associated with single doses of taranabant were generally mild and transient. Of the 198 clinical adverse experiences reported, the most common drug-related ones were nausea (36), headache (22), drowsiness (14), abdominal discomfort/abdominal pain/stomachache (14), hiccups (9), dizziness (8), decreased appetite (7), increased bowel movement (7), mood change (6), tiredness (4), vomiting (4), and sweating increased (4). Taranabant has pharmacokinetic characteristics suitable for a once-daily dosing regimen.

The effect of etoricoxib on the pharmacodynamics and pharmacokinetics of warfarin.

The effects of etoricoxib on pharmacodynamic and pharmacokinetic parameters of warfarin were determined in healthy men and women. Subjects titrated with warfarin to an international normalized ratio for prothrombin time of 1.4 to 1.7 during a 28-day prestudy period were randomly assigned in crossover fashion to be coadministered etoricoxib (120 mg) or matching placebo over two 21-day continuous periods. On day 21, a 24-hour pharmacokinetic profile of both S(-) and R(+) warfarin, as well as international normalized ratio values, were determined. Etoricoxib increased the international normalized ratio by 13% (90% confidence interval: 8%, 19%; P