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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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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. |
format | Online Article Text |
id | pubmed-6813168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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