Literature DB >> 27232760

Utility of a human FcRn transgenic mouse model in drug discovery for early assessment and prediction of human pharmacokinetics of monoclonal antibodies.

Lindsay B Avery1, Mengmeng Wang1, Mania S Kavosi1, Alison Joyce1, Jeffrey C Kurz1, Yao-Yun Fan1, Martin E Dowty1, Minlei Zhang1, Yiqun Zhang1, Aili Cheng2, Fei Hua3, Hannah M Jones4, Hendrik Neubert1, Robert J Polzer4, Denise M O'Hara1.   

Abstract

Therapeutic antibodies continue to develop as an emerging drug class, with a need for preclinical tools to better predict in vivo characteristics. Transgenic mice expressing human neonatal Fc receptor (hFcRn) have potential as a preclinical pharmacokinetic (PK) model to project human PK of monoclonal antibodies (mAbs). Using a panel of 27 mAbs with a broad PK range, we sought to characterize and establish utility of this preclinical animal model and provide guidance for its application in drug development of mAbs. This set of mAbs was administered to both hemizygous and homozygous hFcRn transgenic mice (Tg32) at a single intravenous dose, and PK parameters were derived. Higher hFcRn protein tissue expression was confirmed by liquid chromatography-high resolution tandem mass spectrometry in Tg32 homozygous versus hemizygous mice. Clearance (CL) was calculated using non-compartmental analysis and correlations were assessed to historical data in wild-type mouse, non-human primate (NHP), and human. Results show that mAb CL in hFcRn Tg32 homozygous mouse correlate with human (r(2) = 0.83, r = 0.91, p < 0.01) better than NHP (r(2) = 0.67, r = 0.82, p < 0.01) for this dataset. Applying simple allometric scaling using an empirically derived best-fit exponent of 0.93 enabled the prediction of human CL from the Tg32 homozygous mouse within 2-fold error for 100% of mAbs tested. Implementing the Tg32 homozygous mouse model in discovery and preclinical drug development to predict human CL may result in an overall decreased usage of monkeys for PK studies, enhancement of the early selection of lead molecules, and ultimately a decrease in the time for a drug candidate to reach the clinic.

Entities:  

Keywords:  Allometric scaling; FcRn; Human PK prediction; IgG; Neonatal Fc Receptor; PK; clearance; hFcRn transgenic mice; mAb; monoclonal antibody; pharmacokinetics

Mesh:

Substances:

Year:  2016        PMID: 27232760      PMCID: PMC4968115          DOI: 10.1080/19420862.2016.1193660

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


  53 in total

1.  One mouse, one pharmacokinetic profile: quantitative whole blood serial sampling for biotherapeutics.

Authors:  Alison P Joyce; Mengmeng Wang; Rosemary Lawrence-Henderson; Cynthia Filliettaz; Sheldon S Leung; Xin Xu; Denise M O'Hara
Journal:  Pharm Res       Date:  2014-01-24       Impact factor: 4.200

2.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

3.  Prediction of human pharmacokinetics of therapeutic monoclonal antibodies from simple allometry of monkey data.

Authors:  Masataka Oitate; Noriko Masubuchi; Takashi Ito; Yoshiyuki Yabe; Tsuyoshi Karibe; Takanori Aoki; Nobuyuki Murayama; Atsushi Kurihara; Noriko Okudaira; Takashi Izumi
Journal:  Drug Metab Pharmacokinet       Date:  2011-05-24       Impact factor: 3.614

4.  Quantitative prediction of human pharmacokinetics for monoclonal antibodies: retrospective analysis of monkey as a single species for first-in-human prediction.

Authors:  Jennifer Q Dong; David H Salinger; Christopher J Endres; John P Gibbs; Cheng-Pang Hsu; Brian J Stouch; Eunju Hurh; Megan A Gibbs
Journal:  Clin Pharmacokinet       Date:  2011-02       Impact factor: 6.447

5.  The MHC class I-like IgG receptor controls perinatal IgG transport, IgG homeostasis, and fate of IgG-Fc-coupled drugs.

Authors:  Derry C Roopenian; Gregory J Christianson; Thomas J Sproule; Aaron C Brown; Shreeram Akilesh; Nadja Jung; Stefka Petkova; Lia Avanessian; Eun Young Choi; Daniel J Shaffer; Peter A Eden; Clark L Anderson
Journal:  J Immunol       Date:  2003-04-01       Impact factor: 5.422

6.  Enhanced antibody half-life improves in vivo activity.

Authors:  Jonathan Zalevsky; Aaron K Chamberlain; Holly M Horton; Sher Karki; Irene W L Leung; Thomas J Sproule; Greg A Lazar; Derry C Roopenian; John R Desjarlais
Journal:  Nat Biotechnol       Date:  2010-01-17       Impact factor: 54.908

7.  Evidence to support the cellular mechanism involved in serum IgG homeostasis in humans.

Authors:  E Sally Ward; Jinchun Zhou; Victor Ghetie; Raimund J Ober
Journal:  Int Immunol       Date:  2003-02       Impact factor: 4.823

Review 8.  Interspecies scaling of therapeutic monoclonal antibodies: initial look.

Authors:  Jie Ling; Honghui Zhou; Qun Jiao; Hugh M Davis
Journal:  J Clin Pharmacol       Date:  2009-10-16       Impact factor: 3.126

9.  Neonatal Fc receptor mediates internalization of Fc in transfected human endothelial cells.

Authors:  Nancy A Goebl; Clifford M Babbey; Amita Datta-Mannan; Derrick R Witcher; Victor J Wroblewski; Kenneth W Dunn
Journal:  Mol Biol Cell       Date:  2008-10-08       Impact factor: 4.138

10.  A novel investigational Fc-modified humanized monoclonal antibody, motavizumab-YTE, has an extended half-life in healthy adults.

Authors:  Gabriel J Robbie; Ryan Criste; William F Dall'acqua; Kathryn Jensen; Nita K Patel; Genevieve A Losonsky; M Pamela Griffin
Journal:  Antimicrob Agents Chemother       Date:  2013-09-30       Impact factor: 5.191

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  25 in total

1.  Distribution of FcRn Across Species and Tissues.

Authors:  Sari Latvala; Bjoern Jacobsen; Michael B Otteneder; Annika Herrmann; Sven Kronenberg
Journal:  J Histochem Cytochem       Date:  2017-04-12       Impact factor: 2.479

2.  Combination of cassette-dosing and microsampling for reduced animal usage for antibody pharmacokinetics in cynomolgus monkeys, wild-type mice, and human FcRn transgenic mice.

Authors:  Miho Nagayasu; Kazuhisa Ozeki
Journal:  Pharm Res       Date:  2021-03-29       Impact factor: 4.200

Review 3.  Pharmacokinetic de-risking tools for selection of monoclonal antibody lead candidates.

Authors:  Miroslav Dostalek; Thomayant Prueksaritanont; Robert F Kelley
Journal:  MAbs       Date:  2017-05-02       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

5.  Capacity limits of asialoglycoprotein receptor-mediated liver targeting.

Authors:  Charlotte Bon; Thomas Hofer; Alain Bousquet-Mélou; Mark R Davies; Ben-Fillippo Krippendorff
Journal:  MAbs       Date:  2017-09-06       Impact factor: 5.857

6.  Establishing in vitro in vivo correlations to screen monoclonal antibodies for physicochemical properties related to favorable human pharmacokinetics.

Authors:  Lindsay B Avery; Jason Wade; Mengmeng Wang; Amy Tam; Amy King; Nicole Piche-Nicholas; Mania S Kavosi; Steve Penn; David Cirelli; Jeffrey C Kurz; Minlei Zhang; Orla Cunningham; Rhys Jones; Brian J Fennell; Barry McDonnell; Paul Sakorafas; James Apgar; William J Finlay; Laura Lin; Laird Bloom; Denise M O'Hara
Journal:  MAbs       Date:  2018-01-29       Impact factor: 5.857

7.  Utility of immunodeficient mouse models for characterizing the preclinical pharmacokinetics of immunogenic antibody therapeutics.

Authors:  Maria Myzithras; Tammy Bigwarfe; Hua Li; Erica Waltz; Jennifer Ahlberg; Craig Giragossian; Simon Roberts
Journal:  MAbs       Date:  2016-09-06       Impact factor: 5.857

Review 8.  Selecting and engineering monoclonal antibodies with drug-like specificity.

Authors:  Charles G Starr; Peter M Tessier
Journal:  Curr Opin Biotechnol       Date:  2019-02-26       Impact factor: 9.740

Review 9.  Targeting FcRn to Generate Antibody-Based Therapeutics.

Authors:  E Sally Ward; Raimund J Ober
Journal:  Trends Pharmacol Sci       Date:  2018-08-22       Impact factor: 14.819

10.  Identifying biophysical assays and in silico properties that enrich for slow clearance in clinical-stage therapeutic antibodies.

Authors:  Boris Grinshpun; Nels Thorsteinson; Joao Ns Pereira; Friedrich Rippmann; David Nannemann; Vanita D Sood; Yves Fomekong Nanfack
Journal:  MAbs       Date:  2021 Jan-Dec       Impact factor: 5.857

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