| Literature DB >> 32096596 |
Pavel Kovalenko1, John D Davis1, Meng Li2, Ronda Rippley1, Marius Ardeleanu1, Brad Shumel1, Neil M H Graham1, Gianluca Pirozzi2, Mohamed A Kamal1, A Thomas DiCioccio1.
Abstract
Population pharmacokinetic base and covariate models were developed to study functional dupilumab for regulatory submissions, using data from healthy volunteers and patients with moderate-to-severe atopic dermatitis (AD) receiving intravenous or subcutaneous doses. Sixteen studies were pooled (N = 2115; 202 healthy volunteers, 1913 AD patients). The best model was a 2-compartment model with linear and Michaelis-Menten elimination and 3 transit compartments describing absorption. A stepwise approach to model building, with some parameters estimated using mostly rich data and subsequently fixed, was used to avoid adverse effects of sparse data and a steep target-mediated phase on pharmacokinetic parameters, which require rich sampling for proper estimation. Parameterization of models in terms of rates was a useful alternative to the parameterization in terms of clearances, allowing for a reduced number of covariates while providing accurate predictions. While antidrug antibodies, albumin, race, body mass index, and Eczema Area and Severity Index score were statistically significant covariates, only body weight had a notable effect on central volume, explaining interindividual variability. The model adequately described dupilumab pharmacokinetics in phase 3 trials.Entities:
Keywords: atopic dermatitis; dupilumab; monoclonal antibodies; phase 3; population pharmacokinetics; regulatory submissionszzm321990
Year: 2020 PMID: 32096596 DOI: 10.1002/cpdd.780
Source DB: PubMed Journal: Clin Pharmacol Drug Dev ISSN: 2160-763X