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Predicting the Onset of Nonlinear Pharmacokinetics

When analyzing the pharmacokinetics (PK) of drugs, one is often faced with concentration C vs. time curves, which display a sharp transition at a critical concentration C (crit). For C > C (crit), the curve displays linear clearance and for C < C (crit) clearance increases in a nonlinear manne...

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Detalles Bibliográficos
Autores principales: Stein, Andrew M., Peletier, Lambertus A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202475/
https://www.ncbi.nlm.nih.gov/pubmed/30196577
http://dx.doi.org/10.1002/psp4.12316
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author Stein, Andrew M.
Peletier, Lambertus A.
author_facet Stein, Andrew M.
Peletier, Lambertus A.
author_sort Stein, Andrew M.
collection PubMed
description When analyzing the pharmacokinetics (PK) of drugs, one is often faced with concentration C vs. time curves, which display a sharp transition at a critical concentration C (crit). For C > C (crit), the curve displays linear clearance and for C < C (crit) clearance increases in a nonlinear manner as C decreases. Often, it is important to choose a high enough dose such that PK remains linear in order to help ensure that continuous target engagement is achieved throughout the duration of therapy. In this article, we derive a simple expression for C (crit) for models involving linear and nonlinear (saturable) clearance, such as Michaelis‐Menten and target‐mediated drug disposition (TMDD) models. Study Highlights
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spelling pubmed-62024752018-10-31 Predicting the Onset of Nonlinear Pharmacokinetics Stein, Andrew M. Peletier, Lambertus A. CPT Pharmacometrics Syst Pharmacol Research When analyzing the pharmacokinetics (PK) of drugs, one is often faced with concentration C vs. time curves, which display a sharp transition at a critical concentration C (crit). For C > C (crit), the curve displays linear clearance and for C < C (crit) clearance increases in a nonlinear manner as C decreases. Often, it is important to choose a high enough dose such that PK remains linear in order to help ensure that continuous target engagement is achieved throughout the duration of therapy. In this article, we derive a simple expression for C (crit) for models involving linear and nonlinear (saturable) clearance, such as Michaelis‐Menten and target‐mediated drug disposition (TMDD) models. Study Highlights John Wiley and Sons Inc. 2018-09-08 2018-10 /pmc/articles/PMC6202475/ /pubmed/30196577 http://dx.doi.org/10.1002/psp4.12316 Text en © 2018 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
Stein, Andrew M.
Peletier, Lambertus A.
Predicting the Onset of Nonlinear Pharmacokinetics
title Predicting the Onset of Nonlinear Pharmacokinetics
title_full Predicting the Onset of Nonlinear Pharmacokinetics
title_fullStr Predicting the Onset of Nonlinear Pharmacokinetics
title_full_unstemmed Predicting the Onset of Nonlinear Pharmacokinetics
title_short Predicting the Onset of Nonlinear Pharmacokinetics
title_sort predicting the onset of nonlinear pharmacokinetics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202475/
https://www.ncbi.nlm.nih.gov/pubmed/30196577
http://dx.doi.org/10.1002/psp4.12316
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