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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
Descripción
Sumario: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