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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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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 |
format | Online Article Text |
id | pubmed-6202475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT steinandrewm predictingtheonsetofnonlinearpharmacokinetics AT peletierlambertusa predictingtheonsetofnonlinearpharmacokinetics |