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A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics

Monoclonal antibodies (mAbs) can be engineered to have “extended half‐life” and “catch and release” properties to improve target coverage. We have developed a mAb physiologically‐based pharmacokinetic model that describes intracellular trafficking, neonatal Fc receptor (FcRn) recycling, and nonspeci...

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Autores principales: Jones, Hannah M., Tolsma, John, Zhang, Zhiwei, Jasper, Paul, Luo, Haobin, Weber, Gregory L., Wright, Katherine, Bard, Joel, Bell, Robert, Messing, Dean, Kelleher, Kerry, Piche‐Nicholas, Nicole, Webster, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499188/
https://www.ncbi.nlm.nih.gov/pubmed/32697437
http://dx.doi.org/10.1002/psp4.12547
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author Jones, Hannah M.
Tolsma, John
Zhang, Zhiwei
Jasper, Paul
Luo, Haobin
Weber, Gregory L.
Wright, Katherine
Bard, Joel
Bell, Robert
Messing, Dean
Kelleher, Kerry
Piche‐Nicholas, Nicole
Webster, Robert
author_facet Jones, Hannah M.
Tolsma, John
Zhang, Zhiwei
Jasper, Paul
Luo, Haobin
Weber, Gregory L.
Wright, Katherine
Bard, Joel
Bell, Robert
Messing, Dean
Kelleher, Kerry
Piche‐Nicholas, Nicole
Webster, Robert
author_sort Jones, Hannah M.
collection PubMed
description Monoclonal antibodies (mAbs) can be engineered to have “extended half‐life” and “catch and release” properties to improve target coverage. We have developed a mAb physiologically‐based pharmacokinetic model that describes intracellular trafficking, neonatal Fc receptor (FcRn) recycling, and nonspecific clearance of mAbs. We extended this model to capture target binding as a function of target affinity, expression, and turnover. For mAbs engineered to have an extended half‐life, the model was able to accurately predict the terminal half‐life (82% within 2‐fold error of the observed value) in the human FcRn transgenic (Tg32) homozygous mouse and human. The model also accurately captures the trend in pharmacokinetic and target coverage data for a set of mAbs with differing catch and release properties in the Tg32 mouse. The mechanistic nature of this model allows us to explore different engineering techniques early in drug discovery, potentially expanding the number of “druggable” targets.
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spelling pubmed-74991882020-09-25 A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics Jones, Hannah M. Tolsma, John Zhang, Zhiwei Jasper, Paul Luo, Haobin Weber, Gregory L. Wright, Katherine Bard, Joel Bell, Robert Messing, Dean Kelleher, Kerry Piche‐Nicholas, Nicole Webster, Robert CPT Pharmacometrics Syst Pharmacol Research Monoclonal antibodies (mAbs) can be engineered to have “extended half‐life” and “catch and release” properties to improve target coverage. We have developed a mAb physiologically‐based pharmacokinetic model that describes intracellular trafficking, neonatal Fc receptor (FcRn) recycling, and nonspecific clearance of mAbs. We extended this model to capture target binding as a function of target affinity, expression, and turnover. For mAbs engineered to have an extended half‐life, the model was able to accurately predict the terminal half‐life (82% within 2‐fold error of the observed value) in the human FcRn transgenic (Tg32) homozygous mouse and human. The model also accurately captures the trend in pharmacokinetic and target coverage data for a set of mAbs with differing catch and release properties in the Tg32 mouse. The mechanistic nature of this model allows us to explore different engineering techniques early in drug discovery, potentially expanding the number of “druggable” targets. John Wiley and Sons Inc. 2020-08-17 2020-09 /pmc/articles/PMC7499188/ /pubmed/32697437 http://dx.doi.org/10.1002/psp4.12547 Text en © 2020 Pfizer. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC 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-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Jones, Hannah M.
Tolsma, John
Zhang, Zhiwei
Jasper, Paul
Luo, Haobin
Weber, Gregory L.
Wright, Katherine
Bard, Joel
Bell, Robert
Messing, Dean
Kelleher, Kerry
Piche‐Nicholas, Nicole
Webster, Robert
A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics
title A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics
title_full A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics
title_fullStr A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics
title_full_unstemmed A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics
title_short A Physiologically‐Based Pharmacokinetic Model for the Prediction of “Half‐Life Extension” and “Catch and Release” Monoclonal Antibody Pharmacokinetics
title_sort physiologically‐based pharmacokinetic model for the prediction of “half‐life extension” and “catch and release” monoclonal antibody pharmacokinetics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499188/
https://www.ncbi.nlm.nih.gov/pubmed/32697437
http://dx.doi.org/10.1002/psp4.12547
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