Hendrik Maxime Lagraauw

Background and Objective Atogepant is an oral calcitonin gene-related peptide receptor antagonist developed for the preventive treatment of migraine. This work aimed to develop a population pharmacokinetic (popPK) model to support dosage regimen selection during the clinical development of atogepant in patients with episodic migraine (EM) or chronic migraine (CM) and to guide the dosing recommendations for regulatory approval. Methods Pharmacokinetic data collected from 12 phase 1 studies, 1 phase 2b/3 study, and 1 phase 3 study in healthy participants and patients with EM were used to develop a popPK model that was externally validated with data from a CM phase 3 study and a phase 3 study in patients with EM for whom two to four classes of conventional oral preventive treatments have failed. The model was built and evaluated using nonlinear mixed-effect modeling and diagnostic assessments. Results The final model featured three disposition compartments, with linear elimination from the central compartment and a sequential zero-/first-order lagged absorption process. Formulation, dose, food status, liver function, concomitant medication, and body weight were each found to have a statistically significant influence on atogepant’s pharmacokinetics. Absorption was affected by dose and formulation, the apparent central volume of distribution (V₁/F) increased with body weight, relative bioavailability (F_rel) modestly increased with dose, and a high-fat meal lengthened absorption lag time. Severe hepatic impairment and coadministration of itraconazole, quinidine, or a single rifampin dose decreased apparent clearance (CL/F) by ~37% and ~66%, ~29%, and ~13%, respectively, while coadministration of multiple rifampin doses increased CL/F by 1.82-fold. F_rel increased by 1.95 and 2.4 fold with coadministration of itraconazole and a single rifampin dose, respectively, and decreased by ~25% with multiple rifampin doses. Mild/moderate renal impairment, coadministration of breast cancer resistance protein (BCRP) inhibitors, BCRP substrates and statins, age, and sex had no clinically relevant effect on atogepant pharmacokinetics. No statistically significant differences were observed in atogepant’s pharmacokinetics between healthy participants and patients with migraine. Conclusions The pharmacokinetics of atogepant are similar in healthy participants and patients with CM or EM. Dose adjustments owing to intrinsic factors of age, sex, race, and body weight, or owing to concomitant medications consisting of P-glycoprotein (P-gp) inhibitors, BCRP inhibitors, oral contraceptive components (ethinyl estradiol and levonorgestrel), famotidine, esomeprazole, sumatriptan, acetaminophen, and naproxen are not necessary. Atogepant’s popPK model provides a valuable tool for evaluating specific questions for patients, healthcare providers, and regulatory agencies. Integration into other modeling approaches has also aided in model-informed drug development decisions. Clinical Trial Registration NCT03855137 (EudraCT number: 2018-004337-32).

Aims: This study aimed to investigate exposure–response (ER) relationships in efficacy and safety for mirvetuximab soravtansine (MIRV) which is a first‐in‐class antibody–drug conjugate approved for the treatment of folate receptor‐α‐positive platinum‐resistant ovarian cancer.Methods: MIRV was characterized in 4 clinical studies. Exposure metrics for MIRV, its payload and a metabolite were derived from a population pharmacokinetic model. Efficacy was analysed in MIRV‐treated patients (n = 215) in a recent confirmatory, randomized, chemotherapy‐controlled MIRASOL trial and safety was evaluated in patients pooled across all 4 clinical studies (n = 757).Results: In the MIRASOL trial (NCT04209855), MIRV demonstrated significant benefit over chemotherapy in progression‐free survival (PFS), objective response rate (ORR) and overall survival (OS). The most common adverse events (AEs) included ocular disorders, peripheral neuropathy and pneumonitis. For PFS, ORR and OS, the trough concentration of MIRV was the predictor consistently found in ER models for efficacy. In contrast, for ocular AEs (as well as the time to onset of ocular AEs) and peripheral neuropathy, the area under the concentration–time curve (AUC) of MIRV was identified as the exposure metric in ER models for safety. No exposure parameters were found to correlate with pneumonitis. Covariates in all models did not show clinically meaningful impact on efficacy or safety. Logistic regression models for ORR and ocular AEs based on AUC of MIRV were used to justify the clinical dose regimen approved for MIRV.Conclusion: The trough concentration of MIRV correlated with efficacy whereas the AUC of MIRV was associated with major AEs. The ER relationships supported the selected therapeutic dose regimen.

Balovaptan is a brain-penetrating vasopressin receptor 1a antagonist previously investigated for the core symptoms of autism spectrum disorder (ASD). A population pharmacokinetic (PK) model of balovaptan was developed, initially to assist clinical dosing for adult and pediatric ASD studies and subsequently for new clinical indications including malignant cerebral edema (MCE) and post-traumatic stress disorder. The final model incorporates one-compartment disposition and describes time- and dose-dependent non-linear PK through empirical drug binding and a gut extraction component with turnover. An age effect on clearance observed in children was modeled by an asymptotic function that predicts adult-equivalent exposures at 40% of the adult dose for children aged 2–4 years, 70% for 5–9 years, and at the full adult dose for ≥ 10 years. The model was adapted for intravenous (IV) balovaptan dosing and combined with in vitro and ex vivo pharmacodynamic data to simulate brain receptor occupancy as a guide for dosing in a phase II trial of MCE prophylaxis after acute ischemic stroke. A sequence of three stepped-dose daily infusions of 50, 25 and 15 mg over 30 or 60 min was predicted to achieve a target occupancy of ≥ 80% in ≥ 95% of patients over a 3-day period. This model predicts both oral and IV balovaptan exposure across a wide age range and will be a valuable tool to analyze and predict its PK in new indications and target populations, including pediatric patients.

Aims: Mirvetuximab soravtansine is a first‐in‐class antibody–drug conjugate recently approved for the treatment of folate receptor‐α positive ovarian cancer. The aim of this study was to develop a population pharmacokinetic model to describe the concentration–time profiles of mirvetuximab soravtansine, the payload (DM4) and a metabolite (S‐methyl‐DM4).Methods: Mirvetuximab soravtansine was administered intravenously from 0.15 to 7 mg/kg to 543 patients with predominantly platinum‐resistant ovarian cancer in 3 clinical studies, and the plasma drug concentrations were analysed using a nonlinear mixed‐effects modelling approach. Stepwise covariate modelling was performed to identify covariates.Results: We developed a semi‐mechanistic population pharmacokinetic model that included linear and nonlinear routes for the elimination of mirvetuximab soravtansine and a target compartment for the formation and disposition of the payload and metabolite in tumour cells. The clearance and volume of the central compartment were 0.0153 L/h and 2.63 L for mirvetuximab soravtansine, 8.83 L/h and 3.67 L for DM4, and 2.04 L/h and 6.3 L for S‐methyl‐DM4, respectively. Body weight, serum albumin and age were identified as statistically significant covariates. Exposures in patients with renal or hepatic impairment and who used concomitant cytochrome P450 (CYP) 3A4 inhibitors were estimated.Conclusion: There is no need for dose adjustment due to covariate effects for mirvetuximab soravtansine administered at the recommended dose of 6 mg/kg based on adjusted ideal body weight. Dose adjustment is not required for patients with mild or moderate renal impairment, mild hepatic impairment, or when concomitant weak and moderate CYP3A4 inhibitors are used.

Background: Dalbavancin, approved for the treatment of pediatric and adult patients with acute bacterial skin and skin structure infections, has a terminal half-life of >14 days allowing administration as a single-dose regimen. Methods: We developed a population pharmacokinetic (PK) model using 1124 dalbavancin concentrations from 211 pediatric patients, with allometric scaling of clearance and volume parameter exponents fixed at 0.75 and 1, respectively. Serum albumin was included as a covariate on all PK parameters; creatinine clearance or estimated glomerular filtration rate was a covariate on clearance. The final model, qualified by visual predictive checks and bootstrapping, was used to simulate 1000 PK profiles for a range of pediatric age groups. PK/pharmacodynamic target attainment (PTA) was calculated for targets associated with stasis, 1-log kill, and 2-log kill of Staphylococcus aureus (neutropenic murine thigh infection model). Results: Dalbavancin PK was well characterized by a three-compartment model. No additional significant covariates were identified. Simulations showed that single-dose (30-minute intravenous infusion) regimens of 22.5 mg/kg (patients <6 years) and 18 mg/kg (patients 6 years to <18 years) resulted in PTA ≥94% for minimal inhibitory concentrations ≤2 mg/L and ≤0.5 mg/L for the stasis and 2-log kill targets, respectively. PTA for pediatric patients was similar to adults with exposures within the range for adults administered 1500 mg dalbavancin. Conclusion: Dalbavancin PK in pediatric patients was well characterized by a three-compartment model. Simulations with the final model demonstrated adequate PTA across the entire age range for the approved pediatric dalbavancin doses.