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Predicting the Onset of Nonlinear Pharmacokinetics.


ABSTRACT: 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 Ccrit . For C > Ccrit , the curve displays linear clearance and for C < Ccrit 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 Ccrit for models involving linear and nonlinear (saturable) clearance, such as Michaelis-Menten and target-mediated drug disposition (TMDD) models. Study Highlights.

SUBMITTER: Stein AM 

PROVIDER: S-EPMC6202475 | biostudies-other | 2018 Oct

REPOSITORIES: biostudies-other

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Predicting the Onset of Nonlinear Pharmacokinetics.

Stein Andrew M AM   Peletier Lambertus A LA  

CPT: pharmacometrics & systems pharmacology 20180908 10


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<sub>crit</sub> . For C > C<sub>crit</sub> , the curve displays linear clearance and for C < C<sub>crit</sub> 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 t  ...[more]

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