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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 |
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 |
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