1. Predicting the impact of the disease state on drug effects
- Author
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Clinckers, Ralph, Di Iorio, Vincenzo, Smolders, Ilse Julia, Michotte, Yvette, De Lange, Elisabeth, Danhof, M., Voskuyl, Ra, Della Pasqua, O, Pharmaceutical Chemistry, Drug Analysis and Drug Information, and Experimental Pharmacology
- Subjects
epilepsy ,PK/PD modeling ,predictive pharmacology - Abstract
Introduction Chronic administration of antiepileptic drugs to achieve symptomatic seizure control is the treatment of choice in epilepsy. Accurate prediction of pharmacokinetics (PK) and pharmacodynamics (PD) in the target tissue is essential to optimise the therapeutic dosing regimen in patients. The present study was conducted to quantify and characterise the effects of 10,11-dihydro-10-hydroxycarbamazepine (MHD), the active metabolite of oxcarbazepine, on hippocampal dopamine (DA) and serotonin (5HT) levels. These monoamines were previously shown to be useful biomarkers for the anticonvulsant effect of antiepileptic drugs. Simultaneously, the impact of seizures and active brain efflux mechanisms on drug effect was quantified. Methods Male Wistar albino rats were treated with placebo or a range of intraperitoneal doses of MHD to achieve sub-therapeutic (20mg/kg) and anticonvulsant (80-150mg/kg) exposure in the focal pilocarpine model for limbic seizures. In addition, a separate group received sub-therapeutic MHD doses (20mg/kg) in combination with intra-hippocampal verapamil (5mM) perfusion to block P-gp efflux transport. Free arterial plasma and extracellular hippocampal MHD, DA and 5HT concentrations were determined simultaneously using HPLC and intracerebral microdialysis. An integrated PKPD modelling approach was used to derive the concentration-effect relationship of MHD in vivo. Nonlinear mixed effects modelling was performed in NONMEM (VI) (subroutine ADVAN 6 TOL5). The effect of seizures and P-gp blockade on MHD brain disposition was parameterised in terms of V3. The unbound concentration-effect relationships were fitted to the sigmoid-Emax model, where E0 is the baseline neurotransmitter concentration, Emax the intrinsic activity, EC50 the potency and nH the Hill coefficient (Figure 1). A combined random error model was used to describe MHD pharmacokinetics, whilst an additive random error model was required for hippocampal MHD concentrations. On the other hand, extracellular hippocampal DA and 5HT concentrations were characterised by a proportional random error model. A Gaussian function was used to separate the drug effect on extracellular hippocampal DA and 5HT levels from the seizure effect on the same neurotransmitter systems. Results and Discussion The proposed PKPD model accurately predicts the MHD effects on brain DA and 5HT levels during control conditions, P-gp efflux transport inhibition and acute seizures (Figure 2). Moreover treatment effects correlate better to brain rather than plasma MHD concentrations, highlighting the importance of understanding differences in target exposure. In a subsequent step, these monoaminergic effects will be used as biomarkers of seizure activity.
- Published
- 2010