Modeling and Simulation of the Pharmacokinetics and Target Engagement of an Antagonist Monoclonal Antibody to Interferon-γ–Induced Protein 10, BMS-986184, in Healthy Participants to Guide Therapeutic Dosing

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Abstract

BMS-986184 is a human, second-generation, anti–interferon-γ–induced protein 10 (IP-10) monoclonal antibody. In this study the pharmacokinetics and target engagement (TE) of BMS-986184 in healthy participants were characterized using population-based target-mediated drug disposition (TMDD) modeling and data from a first-in-human study (NCT02864264). The results of the first-in-human study and the model generated were used to conduct stochastic simulations of a virtual population of healthy participants to predict pharmacokinetic exposures and TE responses for different dosage regimens. A 2-compartment, 2-target, TMDD structural model, assuming quasi-steady-state and stimulated production on treatment, was developed by simultaneous fitting of the total drug, serum-free IP-10, and serum total IP-10 concentration data, with the second unobservable target contribution to drug elimination described by the Michaelis-Menten elimination term. Model evaluation confirmed agreement between model predictions and observed data. Simulation of a virtual population of healthy individuals demonstrated that steady state was reached at the eighth dosing interval, and that around 150 mg subcutaneously every other week could be a suitable target dosage regimen for future clinical trials. Integrated modeling strategies such as this can be used to help guide rational clinical trial development of drugs with TMDD, leading to improved dose selection and greater patient benefits.

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Cai, W., Leil, T. A., Gibiansky, L., Krishna, M., Zhang, H., Gu, H., … Girgis, I. (2020). Modeling and Simulation of the Pharmacokinetics and Target Engagement of an Antagonist Monoclonal Antibody to Interferon-γ–Induced Protein 10, BMS-986184, in Healthy Participants to Guide Therapeutic Dosing. Clinical Pharmacology in Drug Development, 9(6), 689–698. https://doi.org/10.1002/cpdd.784

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