Literature DB >> 20962582

Projecting human pharmacokinetics of therapeutic antibodies from nonclinical data: what have we learned?

Rong Deng1, Suhasini Iyer, Frank-Peter Theil, Deborah L Mortensen, Paul J Fielder, Saileta Prabhu.   

Abstract

The pharmacokinetics (PK) of therapeutic antibodies is determined by target and non-target mediated mechanisms. These antibody-specific factors need to be considered during prediction of human PK based upon preclinical information. Principles of allometric scaling established for small molecules using data from multiple animal species cannot be directly applied to antibodies. Here, different methods for projecting human clearance (CL) from animal PK data for 13 therapeutic monoclonal antibodies (mAbs) exhibiting linear PK over the tested dose ranges were examined: simple allometric scaling (CL versus body weight), allometric scaling with correction factors, allometric scaling based on rule of exponent and scaling from only cynomolgus monkey PK data. A better correlation was obtained between the observed human CL and the estimated human CL based on cynomolgus monkey PK data and an allometric scaling exponent of 0.85 for CL than other scaling approaches. Human concentration-time profiles were also reasonably predicted from the cynomolgus monkey data using species-invariant time method with a fixed exponent of 0.85 for CL and 1.0 for volume of distribution. In conclusion, we expanded our previous work and others and further confirmed that PK from cynomolgus monkey alone can be successfully scaled to project human PK profiles within linear range using simplify allometry and Dedrick plots with fixed exponent.

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Year:  2011        PMID: 20962582      PMCID: PMC3038012          DOI: 10.4161/mabs.3.1.13799

Source DB:  PubMed          Journal:  MAbs        ISSN: 1942-0862            Impact factor:   5.857


  23 in total

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2.  A global examination of allometric scaling for predicting human drug clearance and the prediction of large vertical allometry.

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Journal:  J Pharm Sci       Date:  2006-08       Impact factor: 3.534

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4.  Role of fixed coefficients and exponents in the prediction of human drug clearance: how accurate are the predictions from one or two species?

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5.  Monoclonal antibody pharmacokinetics and pharmacodynamics.

Authors:  W Wang; E Q Wang; J P Balthasar
Journal:  Clin Pharmacol Ther       Date:  2008-09-10       Impact factor: 6.875

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Journal:  Br J Pharmacol       Date:  2006-07-10       Impact factor: 8.739

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8.  Pharmacokinetic allometric scaling of antibodies: application to the first-in-human dose estimation.

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Journal:  J Pharm Sci       Date:  2009-10       Impact factor: 3.534

9.  Preclinical pharmacokinetics, interspecies scaling, and tissue distribution of humanized monoclonal anti-IL-13 antibodies with different IL-13 neutralization mechanisms.

Authors:  Yulia Vugmeyster; Pamela Szklut; Lioudmila Tchistiakova; William Abraham; Marion Kasaian; Xin Xu
Journal:  Int Immunopharmacol       Date:  2008-01-11       Impact factor: 4.932

10.  Pharmacokinetics and safety of a fully human hepatocyte growth factor antibody, AMG 102, in cynomolgus monkeys.

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Journal:  Pharm Res       Date:  2007-05-23       Impact factor: 4.200

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

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Journal:  MAbs       Date:  2012 Nov-Dec       Impact factor: 5.857

Review 5.  Pharmacokinetic considerations for antibody drug conjugates.

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Journal:  Pharm Res       Date:  2012-06-28       Impact factor: 4.200

6.  Interspecies pharmacokinetic modeling of subcutaneous absorption of rituximab in mice and rats.

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Journal:  Pharm Res       Date:  2014-05-23       Impact factor: 4.200

7.  Across-Species Scaling of Monoclonal Antibody Pharmacokinetics Using a Minimal PBPK Model.

Authors:  Jie Zhao; Yanguang Cao; William J Jusko
Journal:  Pharm Res       Date:  2015-05-05       Impact factor: 4.200

8.  Mechanistic Modeling of the Pharmacodynamic and Pharmacokinetic Relationship of Tissue Factor Pathway Inhibitor-Neutralizing Antibody (BAY 1093884) in Cynomolgus Monkeys.

Authors:  Jian-Ming Gu; Xiao-Yan Zhao; Thomas Schwarz; Joachim Schuhmacher; Andreas Baumann; Elena Ho; Babu Subramanyan; Kathy Tran; Timothy Myles; Chandra Patel; Maria Koellnberger
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Journal:  Br J Clin Pharmacol       Date:  2015-05-26       Impact factor: 4.335

10.  Evaluating the Use of Antibody Variable Region (Fv) Charge as a Risk Assessment Tool for Predicting Typical Cynomolgus Monkey Pharmacokinetics.

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Journal:  J Biol Chem       Date:  2015-10-21       Impact factor: 5.157

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