Tag Archives | 2022

Application of reported arbekacin population pharmacokinetic models to Japanese pediatric patients for evaluation of dosing regimen based on Japanese TDM guidelines

Background: Arbekacin (ABK) is an effective aminoglycoside antibiotic agent against methicillin-resistant Staphylococcus aureus (MRSA) used with the recommendation of therapeutic drug monitoring (TDM) in Japanese clinical practice guidelines for TDM1). Since differences in age and body weight (BW) can affect ABK pharmacokinetics (PK), empirical Bayesian methods using population PK (PPK) models with age and/or BW […]

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A reduced mathematical model to explore Gi/Gs preferences of the CB1 receptor

Introduction: The cannabinoid type 1 receptor (CB1) induces both Gi and Gs (G-protein) pathways. The Gi pathway inhibits cyclic adenosine monophosphate (cAMP) production and Gs stimulates cAMP responses, the net cAMP response is therefore a mixture of the effects of the two pathways. CB1 shows a preference for the Gi protein and produces a net […]

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Optimising Inductive Linearisation for nonlinear ODEs with an application to the Michaelis-Menten model: a stochastic simulation-estimation study

Background: Solving systems of nonlinear differential equations is of significant interest in applying pharmacokinetic-pharmacodynamic and systems pharmacology. Inductive Linearisation (IndLin) [1] is a numerical solver that has been developed for generating approximated solutions to nonlinear systems based on iterative linearisation to yield a linear time-varying (LTV) ODE. The method is then paired with the integrator […]

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