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A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data

Monoclonal antibody (mAb) pharmacokinetics (PK) have largely been predicted via allometric scaling with little consideration for cross‐species differences in neonatal Fc receptor (FcRn) affinity or clearance/distribution mechanisms. To address this, we developed a mAb physiologically‐based PK model...

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Autores principales: Jones, Hannah M., Zhang, Zhiwei, Jasper, Paul, Luo, Haobin, Avery, Lindsay B., King, Lindsay E., Neubert, Hendrik, Barton, Hugh A., Betts, Alison M., Webster, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813168/
https://www.ncbi.nlm.nih.gov/pubmed/31464379
http://dx.doi.org/10.1002/psp4.12461
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author Jones, Hannah M.
Zhang, Zhiwei
Jasper, Paul
Luo, Haobin
Avery, Lindsay B.
King, Lindsay E.
Neubert, Hendrik
Barton, Hugh A.
Betts, Alison M.
Webster, Robert
author_facet Jones, Hannah M.
Zhang, Zhiwei
Jasper, Paul
Luo, Haobin
Avery, Lindsay B.
King, Lindsay E.
Neubert, Hendrik
Barton, Hugh A.
Betts, Alison M.
Webster, Robert
author_sort Jones, Hannah M.
collection PubMed
description Monoclonal antibody (mAb) pharmacokinetics (PK) have largely been predicted via allometric scaling with little consideration for cross‐species differences in neonatal Fc receptor (FcRn) affinity or clearance/distribution mechanisms. To address this, we developed a mAb physiologically‐based PK model that describes the intracellular trafficking and FcRn recycling of mAbs in a human FcRn transgenic homozygous mouse and human. This model uses mAb‐specific in vitro data together with species‐specific FcRn tissue expression, tissue volume, and blood‐flow physiology to predict mAb in vivo linear PK a priori. The model accurately predicts the terminal half‐life of 90% of the mAbs investigated within a twofold error. The mechanistic nature of this model allows us to not only predict linear PK from in vitro data but also explore the PK and target binding of mAbs engineered to have pH‐dependent binding to its target or FcRn and could aid in the selection of mAbs with optimal PK and pharmacodynamic properties.
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spelling pubmed-68131682019-10-30 A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data Jones, Hannah M. Zhang, Zhiwei Jasper, Paul Luo, Haobin Avery, Lindsay B. King, Lindsay E. Neubert, Hendrik Barton, Hugh A. Betts, Alison M. Webster, Robert CPT Pharmacometrics Syst Pharmacol Research Monoclonal antibody (mAb) pharmacokinetics (PK) have largely been predicted via allometric scaling with little consideration for cross‐species differences in neonatal Fc receptor (FcRn) affinity or clearance/distribution mechanisms. To address this, we developed a mAb physiologically‐based PK model that describes the intracellular trafficking and FcRn recycling of mAbs in a human FcRn transgenic homozygous mouse and human. This model uses mAb‐specific in vitro data together with species‐specific FcRn tissue expression, tissue volume, and blood‐flow physiology to predict mAb in vivo linear PK a priori. The model accurately predicts the terminal half‐life of 90% of the mAbs investigated within a twofold error. The mechanistic nature of this model allows us to not only predict linear PK from in vitro data but also explore the PK and target binding of mAbs engineered to have pH‐dependent binding to its target or FcRn and could aid in the selection of mAbs with optimal PK and pharmacodynamic properties. John Wiley and Sons Inc. 2019-09-23 2019-10 /pmc/articles/PMC6813168/ /pubmed/31464379 http://dx.doi.org/10.1002/psp4.12461 Text en © 2019 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Jones, Hannah M.
Zhang, Zhiwei
Jasper, Paul
Luo, Haobin
Avery, Lindsay B.
King, Lindsay E.
Neubert, Hendrik
Barton, Hugh A.
Betts, Alison M.
Webster, Robert
A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data
title A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data
title_full A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data
title_fullStr A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data
title_full_unstemmed A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data
title_short A Physiologically‐Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics From In Vitro Data
title_sort physiologically‐based pharmacokinetic model for the prediction of monoclonal antibody pharmacokinetics from in vitro data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813168/
https://www.ncbi.nlm.nih.gov/pubmed/31464379
http://dx.doi.org/10.1002/psp4.12461
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