Literature DB >> 8137258

Physiologically based pharmacokinetic model for specific and nonspecific monoclonal antibodies and fragments in normal tissues and human tumor xenografts in nude mice.

L T Baxter1, H Zhu, D G Mackensen, R K Jain.   

Abstract

A physiologically based pharmacokinetic model to describe the biodistribution of a specific monoclonal antibody IgG1 (ZCE025) and its fragments (F(ab')2 and Fab) and of a nonspecific IgG1 (MOPC21) in normal tissues and a human colon carcinoma xenograft (T380) in nude mice is developed. The model simulates the experimental data on the concentration of these four macromolecules in plasma, urine, heart, lung, liver, kidney, spleen, bone, muscle, skin, GI tract, and tumor. This is the first such model for macromolecules with specific binding. A two-pore formalism for transcapillary solute exchange is used which avoids the oversimplifications of unidirectional transport or a single effective permeability coefficient. Comparison of the model with our biodistribution data shows that: (a) a physiologically based pharmacokinetic model for specific and nonspecific antibodies is able to explain experimental data using as few adjustable parameters as possible; (b) for antibodies and fragments, the tumor itself has no significant influence on the pharmacokinetics in normal tissues; and (c) the two-pore formalism for transcapillary exchange describes the data better than a single-pore model without introducing extra adjustable parameters. Sensitivity analysis shows that the lymph flow rate and transvascular fluid recirculation rate are important parameters for the uptake of antibodies, while for the retention of specific antibodies, extravascular binding is the key parameter. A single-pore model could also obtain a good fit between model and data by adjusting two parameters; however, the estimated permeability was 1000 times higher than with the two-pore model, and the binding affinity was such that approximately five times more material was bound than free in the extravascular space for nonspecific antibody. Setting the binding affinity to zero or reducing the value of the permeability-surface area product did not allow a good fit, even when the lymph flow rate was varied. The present model may be useful in scaling up antibody pharmacokinetics from mouse to man.

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Year:  1994        PMID: 8137258

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  107 in total

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

Authors:  Patrick M Glassman; Yang Chen; Joseph P Balthasar
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4.  Second-generation minimal physiologically-based pharmacokinetic model for monoclonal antibodies.

Authors:  Yanguang Cao; Joseph P Balthasar; William J Jusko
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5.  An Extended Minimal Physiologically Based Pharmacokinetic Model: Evaluation of Type II Diabetes Mellitus and Diabetic Nephropathy on Human IgG Pharmacokinetics in Rats.

Authors:  Gurkishan S Chadha; Marilyn E Morris
Journal:  AAPS J       Date:  2015-08-15       Impact factor: 4.009

6.  Impact of altered endogenous IgG on unspecific mAb clearance.

Authors:  Saskia Fuhrmann; Charlotte Kloft; Wilhelm Huisinga
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-04-24       Impact factor: 2.745

7.  Effect of small-molecule modification on single-cell pharmacokinetics of PARP inhibitors.

Authors:  Greg M Thurber; Thomas Reiner; Katherine S Yang; Rainer H Kohler; Ralph Weissleder
Journal:  Mol Cancer Ther       Date:  2014-02-19       Impact factor: 6.261

8.  Intrathecal administration of single-chain immunotoxin, LMB-7 [B3(Fv)-PE38], produces cures of carcinomatous meningitis in a rat model.

Authors:  I H Pastan; G E Archer; R E McLendon; H S Friedman; H E Fuchs; Q C Wang; L H Pai; J Herndon; D D Bigner
Journal:  Proc Natl Acad Sci U S A       Date:  1995-03-28       Impact factor: 11.205

9.  Quantitative spatiotemporal analysis of antibody fragment diffusion and endocytic consumption in tumor spheroids.

Authors:  Greg M Thurber; K Dane Wittrup
Journal:  Cancer Res       Date:  2008-05-01       Impact factor: 12.701

10.  Physiologically based pharmacokinetic models for everolimus and sorafenib in mice.

Authors:  Dipti K Pawaskar; Robert M Straubinger; Gerald J Fetterly; Bonnie H Hylander; Elizabeth A Repasky; Wen W Ma; William J Jusko
Journal:  Cancer Chemother Pharmacol       Date:  2013-03-03       Impact factor: 3.333

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