Scale-up of a physiologically-based pharmacokinetic model to predict the disposition of monoclonal antibodies in monkeys

Verfasser / Beitragende:
[Patrick Glassman, Yang Chen, Joseph Balthasar]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Pharmacokinetics and Pharmacodynamics, 42/5(2015-10-01), 527-540
Format:
Artikel (online)
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024 7 0 |a 10.1007/s10928-015-9444-y  |2 doi 
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245 0 0 |a Scale-up of a physiologically-based pharmacokinetic model to predict the disposition of monoclonal antibodies in monkeys  |h [Elektronische Daten]  |c [Patrick Glassman, Yang Chen, Joseph Balthasar] 
520 3 |a Preclinical assessment of monoclonal antibody (mAb) disposition during drug development often includes investigations in non-human primate models. In many cases, mAb exhibit non-linear disposition that relates to mAb-target binding [i.e., target-mediated disposition (TMD)]. The goal of this work was to develop a physiologically-based pharmacokinetic (PBPK) model to predict non-linear mAb disposition in plasma and in tissues in monkeys. Physiological parameters for monkeys were collected from several sources, and plasma data for several mAbs associated with linear pharmacokinetics were digitized from prior literature reports. The digitized data displayed great variability; therefore, parameters describing inter-antibody variability in the rates of pinocytosis and convection were estimated. For prediction of the disposition of individual antibodies, we incorporated tissue concentrations of target proteins, where concentrations were estimated based on categorical immunohistochemistry scores, and with assumed localization of target within the interstitial space of each organ. Kinetics of target-mAb binding and target turnover, in the presence or absence of mAb, were implemented. The model was then employed to predict concentration versus time data, via Monte Carlo simulation, for two mAb that have been shown to exhibit TMD (2F8 and tocilizumab). Model predictions, performed a priori with no parameter fitting, were found to provide good prediction of dose-dependencies in plasma clearance, the areas under plasma concentration versu time curves, and the time-course of plasma concentration data. This PBPK model may find utility in predicting plasma and tissue concentration versus time data and, potentially, the time-course of receptor occupancy (i.e., mAb-target binding) to support the design and interpretation of preclinical pharmacokinetic-pharmacodynamic investigations in non-human primates. 
540 |a Springer Science+Business Media New York, 2015 
690 7 |a Physiologically-based  |2 nationallicence 
690 7 |a Pharmacokinetics  |2 nationallicence 
690 7 |a Monoclonal antibody  |2 nationallicence 
700 1 |a Glassman  |D Patrick  |u Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, 452 Kapoor Hall, 14214, Buffalo, NY, USA  |4 aut 
700 1 |a Chen  |D Yang  |u Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, 452 Kapoor Hall, 14214, Buffalo, NY, USA  |4 aut 
700 1 |a Balthasar  |D Joseph  |u Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, 452 Kapoor Hall, 14214, Buffalo, NY, USA  |4 aut 
773 0 |t Journal of Pharmacokinetics and Pharmacodynamics  |d Springer US; http://www.springer-ny.com  |g 42/5(2015-10-01), 527-540  |x 1567-567X  |q 42:5<527  |1 2015  |2 42  |o 10928 
856 4 0 |u https://doi.org/10.1007/s10928-015-9444-y  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10928-015-9444-y  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Glassman  |D Patrick  |u Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, 452 Kapoor Hall, 14214, Buffalo, NY, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chen  |D Yang  |u Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, 452 Kapoor Hall, 14214, Buffalo, NY, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Balthasar  |D Joseph  |u Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, 452 Kapoor Hall, 14214, Buffalo, NY, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Journal of Pharmacokinetics and Pharmacodynamics  |d Springer US; http://www.springer-ny.com  |g 42/5(2015-10-01), 527-540  |x 1567-567X  |q 42:5<527  |1 2015  |2 42  |o 10928