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Monoclonal Antibody Disposition: a Simplified PBPK Model and Its Implications for the Derivation and Interpretation of Classical Compartment Models

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Publisher Springer
Specialty Pharmacology
Date 2014 Feb 5
PMID 24493102
Citations 26
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Abstract

The structure, interpretation and parameterization of classical compartment models as well as physiologically-based pharmacokinetic (PBPK) models for monoclonal antibody (mAb) disposition are very diverse, with no apparent consensus. In addition, there is a remarkable discrepancy between the simplicity of experimental plasma and tissue profiles and the complexity of published PBPK models. We present a simplified PBPK model based on an extravasation rate-limited tissue model with elimination potentially occurring from various tissues and plasma. Based on model reduction (lumping), we derive several classical compartment model structures that are consistent with the simplified PBPK model and experimental data. We show that a common interpretation of classical two-compartment models for mAb disposition-identifying the central compartment with the total plasma volume and the peripheral compartment with the interstitial space (or part of it)-is not consistent with current knowledge. Results are illustrated for the monoclonal antibodies 7E3 and T84.66 in mice.

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References
1.
Krippendorff B, Kuester K, Kloft C, Huisinga W . Nonlinear pharmacokinetics of therapeutic proteins resulting from receptor mediated endocytosis. J Pharmacokinet Pharmacodyn. 2009; 36(3):239-60. PMC: 2718226. DOI: 10.1007/s10928-009-9120-1. View

2.
Kawai R, Lemaire M, Steimer J, Bruelisauer A, NIEDERBERGER W, Rowland M . Physiologically based pharmacokinetic study on a cyclosporin derivative, SDZ IMM 125. J Pharmacokinet Biopharm. 1994; 22(5):327-65. DOI: 10.1007/BF02353860. View

3.
Dirks N, Nolting A, Kovar A, Meibohm B . Population pharmacokinetics of cetuximab in patients with squamous cell carcinoma of the head and neck. J Clin Pharmacol. 2008; 48(3):267-78. DOI: 10.1177/0091270007313393. View

4.
Davies B, Morris T . Physiological parameters in laboratory animals and humans. Pharm Res. 1993; 10(7):1093-5. DOI: 10.1023/a:1018943613122. View

5.
Huisinga W, Solms A, Fronton L, Pilari S . Modeling interindividual variability in physiologically based pharmacokinetics and its link to mechanistic covariate modeling. CPT Pharmacometrics Syst Pharmacol. 2013; 1:e4. PMC: 3603474. DOI: 10.1038/psp.2012.3. View