Relationship of the Calcitonin Gene-Related Peptide Monoclonal Antibody Galcanezumab Pharmacokinetics and Capsaicin-Induced Dermal Blood Flow in Healthy Subjects.

Galcanezumab, a humanized monoclonal antibody targeting calcitonin gene-related peptide, was recently approved for migraine prophylaxis. The pharmacokinetic/pharmacodynamic (PK/PD) relationship between galcanezumab concentration and inhibition of capsaicin-induced dermal blood flow (CIDBF) was evaluated using first-in-human data following 6 single subcutaneous doses (1 to 600 mg) or multiple (4) 150-mg doses every 2 weeks in 7 cohorts (7 actively treated subjects and 2 placebo-treated healthy subjects). Galcanezumab pharmacokinetics were best described by a 1-compartment model with delayed first-order absorption/linear elimination. Apparent estimates (between-subject variability) of clearance, volume of distribution, absorption rate constant, and lag time were 0.0106 L/h (27%CV), 11.2 L (21%CV), 0.0192 h-1 (89%CV), and 0.202 hours, respectively. Estimated elimination half-life was about 30 days. An effect compartment link model described the concentration-effect relationship; estimated maximum inhibitory effect was 70.5%, and 50% maximum inhibitory effect concentration (IC50 ) was 1060 ng/mL. Galcanezumab showed dose- and concentration-dependent potent and durable inhibition of CIDBF. Simulated effect compartment concentrations were maintained above IC50 after 12 weeks of dosing. Near-maximal CIDBF inhibition occurred with 150 mg biweekly for 12 weeks lasting ≥24 weeks or with ≥30 mg every 2 weeks or 195 mg every 13 weeks. Quantitative modeling of galcanezumab PK/PD supported dose selection for the phase 2 proof-of-concept study.

Population Pharmacokinetics and Exposure - Safety Analyses of Nivolumab in Patients With Relapsed or Refractory Classical Hodgkin Lymphoma.

Nivolumab, a fully human immunoglobulin G4 monoclonal anti-programmed death-1 antibody, has demonstrated clinical benefits in multiple tumors, including classical Hodgkin lymphoma. The aim of this study was to characterize the pharmacokinetics (PK) of nivolumab in patients with classical Hodgkin lymphoma using a population approach and to assess the exposure-response (E-R) relationship for safety, thereby supporting the dose recommendation in patients with classical Hodgkin lymphoma. Nivolumab PK and the effect of covariates were consistent with that observed in solid tumors, except that baseline clearance of nivolumab was lower in patients with classical Hodgkin lymphoma by 28%. The E-R analysis for safety, characterized by a Cox proportional hazards model, indicated that the resulting increased nivolumab exposure (average concentration after the first dose) was not a significant predictor of the risk of grade ≥3 drug-related adverse events. Given the acceptable safety profile and observed benefit (65% objective response rate) with the nivolumab 3 mg/kg every 2 week dosing regimen for classical Hodgkin lymphoma, together with the flat E-R safety relationship, nivolumab demonstrated a favorable benefit-risk profile across the range of exposures of 3 mg/kg every 2 weeks in patients with classical Hodgkin lymphoma. Additional model-based simulation suggested that a flat dose of 240 mg every 2 weeks was predicted to produce similar exposures to that of 3 mg/kg every 2 weeks. Therefore, nivolumab 240 mg every 2 weeks is the recommended dosing regimen in the classical Hodgkin lymphoma population.

Population Pharmacokinetics and Exposure-Response Analyses of Eslicarbazepine Acetate Efficacy and Safety in Monotherapy of Partial-Onset Seizures.

Eslicarbazepine acetate (ESL) is a once-daily oral antiepileptic drug (AED) indicated for partial-onset seizures (POS). ESL pharmacokinetics (PK) and exposure-response analyses were supported by 2 phase 3 conversion to ESL (1200, 1600 mg) monotherapy studies. The PK model development included 10 phase 1-2 studies (ESL 600-1200 mg daily). Seizure diaries were completed daily; subjects exited if seizures worsened. Exposure-response models were developed for time to study exit, probability of seizure freedom, time to first occurrence of dizziness, headache, and nausea; serum sodium levels were explored. A 1-compartment model with first-order absorption/elimination described ESL PK. Clearance and distribution volume were significantly related to body weight and sex. Higher eslicarbazepine minimum concentration (Cmin ) and use of 1 baseline AED were associated with significantly lower risk of study exit, whereas eslicarbazepine Cmin was a significant predictor of seizure freedom during the last 4 weeks of monotherapy. Eslicarbazepine exposure and the time to first occurrence of adverse events were not related. A shallow negative relationship described the relationship between change from baseline in serum sodium level and eslicarbazepine exposure. Eslicarbazepine apparent clearance and distribution volume estimates were similar to those reported for ESL adjunctive therapy. Dose adjustment based on body weight was not required. The time to study exit and probability of seizure freedom during the last 4 weeks of monotherapy were weakly related to eslicarbazepine exposure. Because the first occurrence of adverse events or hyponatremia were also not significantly related to eslicarbazepine exposure, dose adjustment using plasma eslicarbazepine concentrations is not supported.

Prediction of efficacy for conversion from adjunctive therapy to monotherapy with eslicarbazepine acetate 800 mg once daily for partial-onset epilepsy.

PURPOSE: Eslicarbazepine acetate (ESL) is a once-daily (QD) oral antiepileptic drug (AED) indicated for partial-onset seizures (POS). Clinical studies of gradual conversion to ESL 1,200 and 1,600 mg QD monotherapies were previously conducted in patients with POS who were not well-controlled by 1 or 2 AEDs. This report describes modeling and simulation of plasma eslicarbazepine (primary active metabolite of ESL) concentrations and time to monotherapy study exit to predict efficacy for conversion to ESL monotherapy at a lower dose of 800 mg, as an option for patients requiring or not tolerating higher doses since this regimen is effective in adjunctive therapy for POS. PATIENTS AND METHODS: A previously developed population pharmacokinetic model for ESL monotherapy was used to predict minimum plasma eslicarbazepine concentration (Cmin) in 1,500 virtual patients taking 1 (n=1,000) or 2 (n=500) AEDs at baseline, treated with ESL 400 mg QD for 1 week, followed by 800 mg QD for 17 weeks (similar to ESL monotherapy trials where the other AEDs were withdrawn during the first 6 weeks following titration to the randomized ESL dose). Model-predicted Cmin as a time-varying covariate and number of baseline AEDs were used to determine the weekly probability of each patient meeting exit criteria (65.3% threshold) indicative of worsening seizure control in 500 simulated ESL monotherapy trials. A previously developed extended Cox proportional hazards exposure-response model was used to relate time-varying eslicarbazepine exposure to the time to study exit. RESULTS: For virtual patients receiving ESL monotherapy (800 mg QD), the 95% upper prediction limit for exit rate at 112 days of 34.9% in patients taking 1 AED at baseline was well below the 65.3% threshold from historical control trials, while the estimate for patients taking 2 AEDs (70.6%) was slightly above the historical control threshold. CONCLUSION: This model-based assessment supports conversion to ESL 800 mg QD monotherapy for POS in adults taking 1 AED. For patients taking 2 concomitant AEDs, however, prescribers should consider maintenance doses of 1,200 or 1,600 mg ESL QD to reduce the likelihood of seizure worsening if conversion to ESL monotherapy is contemplated.

Population pharmacokinetic meta-analysis of trabectedin (ET-743, Yondelis) in cancer patients.

OBJECTIVE: To characterise the population pharmacokinetics of trabectedin (ET-743, Yondelis(R)) in cancer patients. METHODS: A total of 603 patients (945 cycles) receiving intravenous trabectedin as monotherapy at doses ranging from 0.024 to 1.8 mg/m(2) and given as a 1-, 3- or 24-hour infusion every 21 days; a 1- or 3-hour infusion on days 1, 8 and 15 of a 28-day cycle; or a 1-hour infusion daily for 5 consecutive days every 21 days were included in the analysis. An open four-compartment pharmacokinetic model with linear elimination, linear and nonlinear distribution to the deep and shallow peripheral compartments, respectively, and a catenary compartment off the shallow compartment was developed to best describe the index dataset using NONMEM V software. The effect of selected patient covariates on trabectedin pharmacokinetics was investigated. Model evaluation was performed using goodness-of-fit plots and relative error measurements for the test dataset. Simulations were undertaken to evaluate covariate effects on trabectedin pharmacokinetics. RESULTS: The mean (SD) trabectedin elimination half-life was approximately 180 (61.4) hours. Plasma accumulation was limited when trabectedin was given every 3 weeks. Systemic clearance (31.5 L/h, coefficient of variation 51%) was 19.2% higher in patients receiving concomitant dexamethasone. The typical values of the volume of distribution at steady state for male and female patients were 6070L and 5240L, respectively. Within the range studied, age, body size variables, AST, ALT, alkaline phosphatase, lactate dehydrogenase, total bilirubin, creatinine clearance, albumin, total protein, Eastern Cooperative Oncology Group performance status and presence of liver metastases were not statistically related to trabectedin pharmacokinetic parameters. The pharmacokinetic parameters of trabectedin were consistent across the infusion durations and dose regimens evaluated. CONCLUSIONS: The integration of trabectedin pharmacokinetic data demonstrated linear elimination, dose-proportionality up to 1.8 mg/m(2) and time-independent pharmacokinetics. The pharmacokinetic impact of dexamethasone and sex covariates is probably limited given the moderate to large interindividual pharmacokinetic variability of trabectedin. The antiemetic and hepatoprotective effects are still a valid rationale to recommend dexamethasone as a supportive treatment for trabectedin.

Population pharmacokinetics of risperidone and 9-hydroxyrisperidone in patients with acute episodes associated with bipolar I disorder.

A population model was developed with the aim to simultaneously describe risperidone and 9-hydroxyrisperidone pharmacokinetics; to obtain estimates for pharmacokinetic parameters and associated inter- and intra-individual variability of risperidone and 9-hydroxyrisperidone; and to evaluate the influence of patient demographic characteristics and other factors on risperidone, 9-hydroxyrisperidone, and active moiety pharmacokinetics. Data were obtained from 407 patients enrolled in four Phase 1 (serial blood sampling) and three Phase 3 trials (sparse sampling), representing dosage regimens ranging from 4 mg single dose to flexible 1-6 mg once daily. A pharmacokinetic model with two-compartment submodels for risperidone and 9-hydroxyrisperidone disposition and a sequential zero- and first-order absorption pathway was selected based on prior knowledge. A mixture model was incorporated due to CYP2D6 polymorphism of risperidone conversion to 9-hydroxyrisperidone. Patient characteristics tested as potential covariates were: age, sex, race, body weight, lean body mass, body mass index, creatinine clearance, liver function laboratory parameters, study, and carbamazepine comedication. The quasi-clearance of active moiety (the sum of risperidone and 9-hydroxyrisperidone) was simulated and linear regression performed to identify significant covariates. The selected pharmacokinetic model described the plasma concentration-time profiles for risperidone and 9-hydroxyrisperidone quite well and was able to determine each patient's phenotype. Covariates significantly affecting the pharmacokinetics were carbamazepine comedication, and study because the proportion of patients assigned to the intermediate metabolizer status decreased from single to multiple dosing while the proportion assigned to extensive metabolizer status increased. Covariates with limited and clinically irrelevant effects on active moiety concentrations were patient phenotype, race, and total protein. Carbamazepine also decreased active moiety concentrations.

Challenges in the transition to model-based development.

Practitioners of the art and science of pharmacometrics are well aware of the considerable effort required to successfully complete modeling and simulation activities for drug development programs. This is particularly true because of the current, ad hoc implementation wherein modeling and simulation activities are piggybacked onto traditional development programs. This effort, coupled with the failure to explicitly design development programs around modeling and simulation, will continue to be an important obstacle to the successful transition to model-based drug development. Challenges with timely data availability, high data discard rates, delays in completing modeling and simulation activities, and resistance of development teams to the use of modeling and simulation in decision making are all symptoms of an immature process capability for performing modeling and simulation. A process that will fulfill the promise of model-based development will require the development and deployment of three critical elements. The first is the infrastructure--the data definitions and assembly processes that will allow efficient pooling of data across trials and development programs. The second is the process itself--developing guidelines for deciding when and where modeling and simulation should be applied and the criteria for assessing performance and impact. The third element concerns the organization and culture--the establishment of truly integrated, multidisciplinary, and multiorganizational development teams trained in the use of modeling and simulation in decision-making. Creating these capabilities, infrastructure, and incentivizations are critical to realizing the full value of modeling and simulation in drug development.

Population pharmacokinetics and pharmacodynamics of garenoxacin in patients with community-acquired respiratory tract infections.

Garenoxacin (T-3811ME, BMS-284756) is a novel, broad-spectrum des-F(6) quinolone currently under study for the treatment of community-acquired respiratory tract infections. This analysis assessed garenoxacin population pharmacokinetics and exposure-response relationships for safety (adverse effects [AE]) and antimicrobial activity (clinical cure and bacteriologic eradication of Streptococcus pneumoniae and the grouping of Haemophilus influenzae, Haemophilus parainfluenzae, and Moraxella catarrhalis). Data were obtained from three phase II clinical trials of garenoxacin administered orally as 400 mg once daily for 5 to 10 days for the treatment of community-acquired pneumonia, acute exacerbation of chronic bronchitis, and sinusitis. Samples were taken from each patient before drug administration, 2 h following administration of the first dose, and on the day 3 to 5 visit. Individual Bayesian estimates of the fu (fraction unbound), the Cmax, and the fu for the area under the concentration-time curve from 0 to 24 h (fu AUC(0-24)) were calculated as measurements of drug exposure by using an ex vivo assessment of average protein binding. Regression analysis was performed to examine the following relationships: treatment-emergent AE incidence and AUC(0-24), Cmax, or patient factors; clinical response or bacterial eradication and drug exposure (fu Cmax/MIC, fu AUC(0-24)/MIC, and other exposure covariates); or disease and patient factors. Garenoxacin pharmacokinetics were described by a one-compartment model with first-order absorption and elimination. Clearance was dependent on creatinine clearance, ideal body weight, age, obesity, and concomitant use of pseudoephedrine. The volume of distribution was dependent on weight and gender. Patients with mild or moderate renal dysfunction had, on average, approximately a 16 or 26% decrease in clearance, respectively, compared to patients of the same gender and obesity classification with normal renal function. AE occurrence was not related to garenoxacin exposure. Overall, clinical cure and bacterial eradication rates were 91 and 90%, respectively, for S. pneumoniae and 93 and 92%, respectively, for the grouping of H. influenzae, H. parainfluenzae, and M. catarrhalis. The fu AUC(0-24)/MIC ratios were high (>90% were >200), and none of the pharmacokinetic-pharmacodynamic exposure measurements indexed to the MIC or other factors were significant predictors of clinical or bacteriologic response. Garenoxacin clearance was primarily related to creatinine clearance and ideal body weight. Although garenoxacin exposure was approximately 25% higher for patients with moderate renal dysfunction, this increase does not appear to be clinically significant as exposures in this patient population were not significant predictors of AE occurrence. Garenoxacin exposures were at the upper end of the exposure-response curves for measurements of antimicrobial activity, suggesting that 400 mg of garenoxacin once daily is a safe and adequate dose for the treatment of the specified community-acquired respiratory tract infections.

The Pharmacokinetics and Pharmacodynamics of Methylprednisolone in Chronic Renal Failure.

Methylprednisolone (MP) pharmacokinetics and its directly suppressive effects on cortisol secretion, circulating T-cells, and basophils in blood were compared in six chronic renal failure (CRF) subjects and six healthy controls after an IV administration of MP 0.6 mg kg(minus sign1) as the sodium succinate ester. The CRF subjects were studied between hemodialysis treatments. The total clearance of methylprednisolone sodium succinate (the prodrug) was reduced by 40% in CRF; however, the pharmacokinetics of methylprednisolone remained unchanged. Methylprednisolone clearance was approximately 280 ml h(minus sign1) kg(minus sign1) and volume of distribution was about 1.1 L kg(minus sign1). Physiological pharmacodynamic models were applied for the immediate effects of MP, based on the premise that receptor binding is followed by rapid suppression of the secretion of cortisol and recirculation of basophils, T-helper cells, and T-suppressor cells, which persist until inhibitory concentrations (IC(50)) of methylprednisolone disappear. The difference in IC(50) for each pharmacodynamic parameter was not statistically significant, suggesting no difference in the responsiveness of these factors to methylprednisolone in CRF. As the pharmacokinetics of other corticosteroids are altered in CRF, the lack of pharmacokinetic and pharmacodynamic changes of methylprednisolone may engender a therapeutic advantage for this corticosteroid in CRF.