Quantitative Assessment of Elagolix Enzyme-Transporter Interplay and Drug–Drug Interactions Using Physiologically Based Pharmacokinetic Modeling Abstract Introduction Elagolix is approved for the management of moderate-to-severe pain associated with endometriosis. The aim of this analysis was to develop a physiologically based pharmacokinetic (PBPK) model that describes the enzyme-transporter interplay involved in the disposition of elagolix and to predict the magnitude of drug–drug interaction (DDI) potential of elagolix as an inhibitor of P-glycoprotein (P-gp) and inducer of cytochrome P450 (CYP) 3A4. Methods A PBPK model (SimCYP® version 15.0.86.0) was developed using elagolix data from in vitro, clinical PK and DDI studies. Data from DDI studies were used to quantify contributions of the uptake transporter organic anion transporting polypeptide (OATP) 1B1 and CYP3A4 in the disposition of elagolix, and to quantitatively assess the perpetrator potential of elagolix as a CYP3A4 inducer and P-gp inhibitor. Results After accounting for the interplay between elagolix metabolism by CYP3A4 and uptake by OATP1B1, the model-predicted PK parameters of elagolix along with the DDI AUC∞ and Cmax ratios, were within 1.5-fold of the observed data. Based on model simulations, elagolix 200 mg administered twice daily is a moderate inducer of CYP3A4 (approximately 56% reduction in midazolam AUC∞). Simulations of elagolix 150 mg administered once daily with digoxin predicted an increase in digoxin Cmax and AUC∞ by 68% and 19%, respectively. Conclusions A PBPK model of elagolix was developed, verified, and applied to characterize the disposition interplay between CYP3A4 and OATP1B1, and to predict the DDI potential of elagolix as a perpetrator under dosing conditions that were not tested clinically. PBPK model-based predictions were used to support labeling language for DDI recommendations of elagolix.

Acknowledgement to Referees

Fetal Physiologically Based Pharmacokinetic Models: Systems Information on Fetal Blood Components and Binding Proteins Abstract Background Fetal blood and plasma volume and binding components are critical parameters in a fetal physiologically based pharmacokinetic model. To date, a comprehensive review of their changes during fetal development has not been reported. Objective The objective of this work was to collate and analyze physiological information on fetal blood and plasma volume and binding component data during development and to provide a mathematical description of these parameters that can be integrated within a fetal physiologically based pharmacokinetic model. Methods A comprehensive literature search was conducted on fetal blood and plasma volume and binding component parameters and their changes during growth from apparently healthy fetuses from uncomplicated pregnancies. Collated data were assessed, integrated, and analyzed to establish continuous mathematical functions describing their growth trends with fetal age and weight. Results Data were available from 14 studies for blood, ten studies for hematocrit, 12 studies for albumin, and four studies for alpha-1-acid glycoprotein, while plasma and red blood cell volumes were described based on blood and hematocrit data. Fetal physiologically based pharmacokinetic parameters, including blood, plasma and red blood cell volumes, hematocrit, serum albumin, and acid glycoprotein were quantified as a function of fetal age and weight. Variability around the mean parameters at different fetal ages was also investigated. The growth of each of these parameters was different (with respect to direction and monotonicity). Conclusions Despite the limitations identified in the availability of some values, the collected data presented in this article provide a useful resource for fetal physiologically based pharmacokinetic modeling. Potential applications include predicting xenobiotic exposure and risk assessment in the fetus following maternally administered drugs or unintended exposure to environmental toxicants.

Setting the Dose of Checkpoint Inhibitors: The Role of Clinical Pharmacology Abstract Cancer immunotherapy is based on checkpoint inhibitors (CPIs) that significantly improve the clinical outcome of several malignant diseases. These inhibitors are monoclonal antibodies (mAbs) directed at cytotoxic T lymphocyte-associated protein 4 (CTLA-4), programmed cell death 1 (PD-1), or programmed death-ligand 1 (PD-L1), sharing most of the clinical pharmacokinetic characteristics of mAb targeted therapies, all of which differ from those of cytotoxics and small molecules. Establishing the labeled dose of mAbs, and particularly of the CPIs, represents a true challenge. This review therefore examines the main criteria used for dose selection, along with their limits. The relationships between CPI pharmacokinetic parameters and treatment outcome (efficacy and/or toxicity) differ somewhat among the various drugs, but general features can be identified. Nevertheless, the interpretation of these relationships remains quite controversial. A first interpretation asserts that inter-individual pharmacokinetic variability in clearance has an impact on outcome and should be taken into consideration for dosing individualization. The second considers that higher clearance values observed in some patients result from characteristics associated with poor predictive factors of efficacy. Finally, the schedule, and particularly its frequency of administration, merits rethinking.

Correction to: Evidence-Based Design of Fixed-Dose Combinations: Principles and Application to Pediatric Anti-Tuberculosis Therapy In the online supplementary

Population Pharmacokinetics of Blinatumomab in Pediatric and Adult Patients with Hematological Malignancies Abstract Background and objectives Blinatumomab (BLINCYTO®) is a novel bispecific T cell engager (BiTE®) approved in the USA for the treatment of relapsed or refractory B cell precursor acute lymphoblastic leukemia (ALL) in children and adults, as well as minimal residual disease ALL in adults. This analysis characterized the population pharmacokinetics of intravenous blinatumomab in pediatric and adult patients. Methods A total of 2417 serum concentrations of blinatumomab from 674 patients, including adult (n = 628) and pediatric patients (n = 46), from eight clinical studies were analyzed. The impact of covariates on pharmacokinetic parameters were explored, and significant covariates were further evaluated using a simulation approach. Results Blinatumomab pharmacokinetics were described by a one-compartment linear model with first-order elimination, a clearance (CL) of 2.22 L/h, and a central volume of 5.98 L. A statistically significant effect of body surface area (BSA) on CL was observed. The smallest BSA of 0.37 m2 in the pediatric population was associated with a 63% reduction in blinatumomab systemic CL, relative to an adult patient with the median BSA (1.88 m2), supporting the use of BSA-based dosing in patients of lower bodyweight. The BSA effect was minimal, with a ≤ 25% change in CL over the range of BSA in adults, supporting no need for BSA-based dosing. Conclusions Blinatumomab pharmacokinetics were adequately described by a one-compartment linear model with first-order elimination. No covariates other than BSA on CL were identified as significant. BSA-based dosing should be considered for lightweight patients to minimize inter-subject variability in blinatumomab exposure.

Clinical Pharmacokinetics and Pharmacodynamics of Etravirine: An Updated Review Abstract Etravirine is a second-generation non-nucleoside reverse transcriptase inhibitor (NNRTI) for the treatment of human immunodeficiency virus type 1 infection. It is a potent inhibitor of HIV reverse transcriptase and retains activity against wild-type and most NNRTI-resistant HIV. The pharmacokinetic profile of etravirine and clinical data support twice-daily dosing, although once-daily dosing has been investigated in treatment-naïve and treatment-experienced persons. Despite similar pharmacokinetic and pharmacodynamic results compared with twice-daily dosing, larger studies are needed to fully support once-daily etravirine dosing in treatment-naïve individuals. Etravirine is reserved for use in third- or fourth-line antiretroviral treatment regimens, as recommended, for example, in treatment guidelines by the US Department of Health and Human Services—Guidelines for the Use of Antiretroviral Agents in Adults and Adolescents Living with HIV. Etravirine exhibits the potential for bi-directional drug–drug interactions with other antiretrovirals and concomitant medications through its interactions with cytochrome P450 (CYP) isozymes: CYP3A4, CYP2C9, and CYP2C19. This review summarizes the pharmacokinetic and pharmacodynamic parameters of etravirine, with particular attention to information on drug–drug interactions and use in special patient populations, including children/adolescents, women, persons with organ dysfunction, and during pregnancy.

Population Pharmacokinetics of Mycophenolic Acid Co-Administered with Tacrolimus in Corticosteroid-Free Adult Kidney Transplant Patients Abstract Background and Objective Mycophenolic acid is commonly prescribed to adult kidney transplant recipients. Mycophenolic acid is extensively metabolized to mycophenolic acid-glucuronide (major metabolite) and mycophenolic acid-acyl-glucuronide (minor metabolite). We hypothesized that (1) adult kidney transplant patients on corticosteroid-free regimens exhibit unique mycophenolic acid population pharmacokinetics compared with patients receiving corticosteroid-based therapy, and (2) mycophenolic acid clearance is directly dependent on glucuronide metabolite formation. Methods Non-linear mixed-effects modeling was conducted with MonolixSuite-2018R1 (n = 27). Optimal pharmacokinetic models were selected based on objective function values, standard errors, and biological plausibility. Results Clinical demographic data were sex (female, 16), age (47 ± 13 years, mean ± standard deviation), weight (70 ± 16 kg), height (165 ± 9 cm), albumin (43 ± 4 g/L), serum creatinine (102 ± 27 µmol/L), estimated glomerular filtration rate (61 ± 16 mL/min/1.73 m2), mycophenolic acid dosage (1.4 ± 0.5 g/day, as mycophenolate mofetil), and tacrolimus dosage (5 ± 3 mg/day, immediate release). The population pharmacokinetics of mycophenolic acid can be described by a two-compartment first-order absorption with lag time, and a linear elimination structural model. The apparent oral clearance estimate in the final model (population mean, relative standard error) was 2.87 L/h, 42.3%, which is lower than that reported for similar patients on corticosteroid-based regimens (11.9–26.3 L/h). Other pharmacokinetic parameters were comparable to historical data obtained in corticosteroid-based patients. Both mycophenolic acid-acyl-glucuronide trough concentration and the area under the concentration–time curve ratio were significant covariates that reduced mycophenolic acid apparent oral clearance from 16.5 (base model) to 2.87 L/h. The model was evaluated based on bootstrapping, visual predictive checks, and diagnostic plots. Conclusions Our novel findings suggest the potential need to reduce mycophenolic acid dosage in subjects on corticosteroid-free regimens. Corticosteroid-free subjects may also be more sensitive to drug/gene interactions.

Requirements to Establishing Confidence in Physiologically Based Pharmacokinetic (PBPK) Models and Overcoming Some of the Challenges to Meeting Them Abstract When scientifically well-founded, the mechanistic basis of physiologically based pharmacokinetic (PBPK) models can help reduce the uncertainty and increase confidence in extrapolations outside the studied scenarios or studied populations. However, it is not always possible to establish mechanistically credible PBPK models. Requirements to establishing confidence in PBPK models, and challenges to meeting these requirements, are presented in this article. Parameter non-identifiability is the most challenging among the barriers to establishing confidence in PBPK models. Using case examples of small molecule drugs, this article examines the use of hypothesis testing to overcome parameter non-identifiability issues, with the objective of enhancing confidence in the mechanistic basis of PBPK models and thereby improving the quality of predictions that are meant for internal decisions and regulatory submissions. When the mechanistic basis of a PBPK model cannot be established, we propose the use of simpler models or evidence-based approaches.

Phenotyping of Human CYP450 Enzymes by Endobiotics: Current Knowledge and Methodological Approaches Abstract Drug response is subject to an important within- and between-individual variability owing, mainly, to pharmacokinetic and pharmacodynamic factors. Pharmacokinetics includes metabolism by cytochrome P450 (CYP450), major enzymes of phase I reactions that are responsible for the biotransformation of around 60% of the currently approved drugs. CYP450 activity and/or expression are influenced by multiple intrinsic and extrinsic factors, such as drug–drug interactions or genetic polymorphisms. Present phenotyping strategies with xenobiotics used to assess CYP450 activity could be replaced by less invasive procedures using endogenous CYP450 biomarkers. In this work, we review existing knowledge on endobiotics and their ability to characterise variability of the CYP1A2, CYP2C19, CYP2D6 and CYP3A enzymes in humans. To date, it appears that there is a lack of clinical data for the majority of the endogenous compounds described in the literature or some important limitations to allow their use in clinical practice. Additional studies are needed to fill the gap or to identify new candidates, in particular through the use of metabolomics. The use of multivariate models is also a very promising approach to enhance prediction by combining several endogenous phenotyping metrics and other covariates.