Literature DB >> 25004823

Simulation of monoclonal antibody pharmacokinetics in humans using a minimal physiologically based model.

Linzhong Li1, Iain Gardner, Miroslav Dostalek, Masoud Jamei.   

Abstract

Compared to small chemical molecules, monoclonal antibodies and Fc-containing derivatives (mAbs) have unique pharmacokinetic behaviour characterised by relatively poor cellular permeability, minimal renal filtration, binding to FcRn, target-mediated drug disposition, and disposition via lymph. A minimal physiologically based pharmacokinetic (PBPK) model to describe the pharmacokinetics of mAbs in humans was developed. Within the model, the body is divided into three physiological compartments; plasma, a single tissue compartment and lymph. The tissue compartment is further sub-divided into vascular, endothelial and interstitial spaces. The model simultaneously describes the levels of endogenous IgG and exogenous mAbs in each compartment and sub-compartment and, in particular, considers the competition of these two species for FcRn binding in the endothelial space. A Monte-Carlo sampling approach is used to simulate the concentrations of endogenous IgG and mAb in a human population. Existing targeted-mediated drug disposition (TMDD) models are coupled with the minimal PBPK model to provide a general platform for simulating the pharmacokinetics of therapeutic antibodies using primarily pre-clinical data inputs. The feasibility of utilising pre-clinical data to parameterise the model and to simulate the pharmacokinetics of adalimumab and an anti-ALK1 antibody (PF-03446962) in a population of individuals was investigated and results were compared to published clinical data.

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Year:  2014        PMID: 25004823      PMCID: PMC4147043          DOI: 10.1208/s12248-014-9640-5

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  45 in total

1.  General pharmacokinetic model for drugs exhibiting target-mediated drug disposition.

Authors:  D E Mager; W J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-12       Impact factor: 2.745

2.  Towards a platform PBPK model to characterize the plasma and tissue disposition of monoclonal antibodies in preclinical species and human.

Authors:  Dhaval K Shah; Alison M Betts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-12-06       Impact factor: 2.745

Review 3.  Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology.

Authors:  A Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2012-05-30       Impact factor: 6.875

4.  Monoclonal antibody disposition: a simplified PBPK model and its implications for the derivation and interpretation of classical compartment models.

Authors:  Ludivine Fronton; Sabine Pilari; Wilhelm Huisinga
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-02-04       Impact factor: 2.745

5.  Pharmacokinetic model-predicted anticancer drug concentrations in human tumors.

Authors:  James M Gallo; Paolo Vicini; Amy Orlansky; Shaolan Li; Feng Zhou; Jianguo Ma; Sharon Pulfer; Michel A Bookman; Ping Guo
Journal:  Clin Cancer Res       Date:  2004-12-01       Impact factor: 12.531

6.  Importance of neonatal FcR in regulating the serum half-life of therapeutic proteins containing the Fc domain of human IgG1: a comparative study of the affinity of monoclonal antibodies and Fc-fusion proteins to human neonatal FcR.

Authors:  Takuo Suzuki; Akiko Ishii-Watabe; Minoru Tada; Tetsu Kobayashi; Toshie Kanayasu-Toyoda; Toru Kawanishi; Teruhide Yamaguchi
Journal:  J Immunol       Date:  2010-01-18       Impact factor: 5.422

7.  Efficacy, pharmacokinetic, and safety assessment of adalimumab, a fully human anti-tumor necrosis factor-alpha monoclonal antibody, in adults with rheumatoid arthritis receiving concomitant methotrexate: a pilot study.

Authors:  Michael H Weisman; Larry W Moreland; Daniel E Furst; Michael E Weinblatt; Edward C Keystone; Harold E Paulus; Leah S Teoh; Raja B Velagapudi; Peter A Noertersheuser; G Richard Granneman; Steven A Fischkoff; Elliot K Chartash
Journal:  Clin Ther       Date:  2003-06       Impact factor: 3.393

8.  Antibody biodistribution coefficients: inferring tissue concentrations of monoclonal antibodies based on the plasma concentrations in several preclinical species and human.

Authors:  Dhaval K Shah; Alison M Betts
Journal:  MAbs       Date:  2013-02-13       Impact factor: 5.857

9.  Physiologically-based pharmacokinetic (PBPK) model to predict IgG tissue kinetics in wild-type and FcRn-knockout mice.

Authors:  Amit Garg; Joseph P Balthasar
Journal:  J Pharmacokinet Pharmacodyn       Date:  2007-07-18       Impact factor: 2.745

Review 10.  A framework for assessing inter-individual variability in pharmacokinetics using virtual human populations and integrating general knowledge of physical chemistry, biology, anatomy, physiology and genetics: A tale of 'bottom-up' vs 'top-down' recognition of covariates.

Authors:  Masoud Jamei; Gemma L Dickinson; Amin Rostami-Hodjegan
Journal:  Drug Metab Pharmacokinet       Date:  2009       Impact factor: 3.614

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  22 in total

Review 1.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

2.  Population PBPK modelling of trastuzumab: a framework for quantifying and predicting inter-individual variability.

Authors:  Paul R V Malik; Abdullah Hamadeh; Colin Phipps; Andrea N Edginton
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-03-04       Impact factor: 2.745

3.  Effects of the FcRn developmental pharmacology on the pharmacokinetics of therapeutic monoclonal IgG antibody in pediatric subjects using minimal physiologically-based pharmacokinetic modelling.

Authors:  Deni Hardiansyah; Chee Meng Ng
Journal:  MAbs       Date:  2018-07-30       Impact factor: 5.857

4.  Hematopoietic cells as site of first-pass catabolism after subcutaneous dosing and contributors to systemic clearance of a monoclonal antibody in mice.

Authors:  Wolfgang F Richter; Gregory J Christianson; Nicolas Frances; Hans Peter Grimm; Gabriele Proetzel; Derry C Roopenian
Journal:  MAbs       Date:  2018-05-09       Impact factor: 5.857

Review 5.  Influence of Antigen Mass on the Pharmacokinetics of Therapeutic Antibodies in Humans.

Authors:  David Ternant; Nicolas Azzopardi; William Raoul; Theodora Bejan-Angoulvant; Gilles Paintaud
Journal:  Clin Pharmacokinet       Date:  2019-02       Impact factor: 6.447

Review 6.  Physiologically-based modeling of monoclonal antibody pharmacokinetics in drug discovery and development.

Authors:  Patrick M Glassman; Joseph P Balthasar
Journal:  Drug Metab Pharmacokinet       Date:  2018-11-22       Impact factor: 3.614

7.  A systems pharmacokinetic/pharmacodynamic model for concizumab to explore the potential of anti-TFPI recycling antibodies.

Authors:  Dongfen Yuan; Frederik Rode; Yanguang Cao
Journal:  Eur J Pharm Sci       Date:  2019-08-05       Impact factor: 4.384

8.  A Minimal Physiologically Based Pharmacokinetic Model with a Nested Endosome Compartment for Novel Engineered Antibodies.

Authors:  Dongfen Yuan; Frederik Rode; Yanguang Cao
Journal:  AAPS J       Date:  2018-03-14       Impact factor: 4.009

Review 9.  Potential Sources of Inter-Subject Variability in Monoclonal Antibody Pharmacokinetics.

Authors:  Katherine L Gill; Krishna K Machavaram; Rachel H Rose; Manoranjenni Chetty
Journal:  Clin Pharmacokinet       Date:  2016-07       Impact factor: 6.447

10.  Understanding the Monoclonal Antibody Disposition after Subcutaneous Administration using a Minimal Physiologically based Pharmacokinetic Model.

Authors:  Ninad Varkhede; Laird Forrest
Journal:  J Pharm Pharm Sci       Date:  2018       Impact factor: 2.327

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