Pharmacokinetic-pharmacodynamic modelling of tiagabine CNS effects upon chronic treatment in rats: lack of change in concentration-EEG effect relationship

Effect of the administration of tiagabine and gabapentin on rabbit electroencephalogram activity

New generation antiepileptic drugs, including gabapentin and tiagabine, are used in monotherapy or in combination with other drugs for specific seizure types. The multidirectional mechanism of activity and varied pharmacological properties of these drugs suggest that they could also be used in the therapy of other diseases. A possible limitation of new generation antiepileptic drugs is the incidence of CNS-related adverse effects. Few studies have assessed the effect of new antiepileptic drugs on electroencephalogram (EEG) recordings in subjects using these drugs for diseases other than epilepsy. The aim of this study was to determine the effects of tiagabine and gabapentin on EEG recordings from the midbrain reticular formation, dorsal hippocampus and frontal cortex in rabbits. Tiagabine was administered orally at a single dose of 5 and 20 mg kg(-1), or repeatedly at a dose of 5 mg kg(-1) (twice a day) for 14 days. Gabapentin was administered orally at a single dose of 25 and 100 mg kg(-1), or repeatedly at a dose of 25 mg kg(-1) (twice a day) for 14 days. Both tiagabine and gabapentin caused changes indicative of CNS inhibitory properties, which may be associated with the adverse effects of the drugs. After repeated doses of the drugs, the changes in EEG recordings were less pronounced than after single doses, which may indicate adaptive changes. The hippocampus was found to be the least sensitive to the effect of gabapentin.

From neuroscience to application in neuropharmacology: A generation of progress in electrophysiology

A continuum from neuronal cellular/subcellular properties to system processes appears to exist in many instances and to allow privileged approaches in neuroscience and neuropharmacology research. Brain signals and the cholinergic and GABAergic systems, in vivo and in vitro evidence from studies on the retina, or the "gamma band" oscillations in neuron membrane potential/spiking rate and neuronal assemblies are examples in this respect. However, spontaneous and stimulus-event-related signals at any location and time point reflect brain state conditions that depend on neuromodulation, neurotransmitter interaction, hormones (e.g., glucocorticois, ACTH, estrogens) and neuroendocrine interaction at different levels of complexity, as well as on the spontaneous or experimentally-induced changes in metabolism (e.g., glucose, ammonia), blood flow, pO2, pCO2, acid/base balance, K activity, etc., that occur locally or systemically. Any of these factors can account for individual differences and/or changes over time that often are (or need to be) neglected in pharmaco-EEG studies or are dealt with statistically and by controlling the experimental conditions. As a result, the electrophysiological effects of neuroactive drugs are to an extent non-specific and require adequate modeling and precise correlation with independent parameters (e.g., drug kinetics, vigilance, hormonal profile or metabolic status, etc.) to avoid biased results in otherwise controlled studies.

The interaction between vigabatrin and diazepam on the electroencephalogram during active behaviour in rats: an isobolic analysis

To test whether polytherapy with two gamma-aminobutyric acid (GABA) -ergic drugs might be clinically relevant for epilepsy treatment, effects on spike and wave discharges, the fraction of time spent being behaviourally active, and the background electroencephalogram (EEG) during behavioural activity of vigabatrin (15-500 mg/kg i.p.) and diazepam (1.25-10 mg/kg i.p.) were compared with their combination (dose ratio 1:25) in rats. Isobolic analyses were performed to describe the interactions. Unfortunately, no conclusions can be drawn concerning the interaction of both drugs on the spike and wave discharge activity because the effect of diazepam was shown to be dominant. Only vigabatrin decreased the behavioural activity, whereas there was a trend towards a decrease after diazepam. All treatments dose dependently increased the power in the beta frequency band. Unfortunately, the dose ratio was not optimal to describe the interaction. The theta peak frequency was dose dependently decreased after all treatments. There was a synergistic interaction between the two drugs on this variable. These data support both the idea that an increase in power in the beta frequency band can serve as a biomarker for GABAergic inhibition and the suggestion that clinically effective anxiolytics decrease the theta peak frequency. Furthermore, we show that on different variables, there might be different optimal dosage combinations, which might complicate the clinical application of polytherapy.

Pharmacodynamic Analysis of the Anticonvulsant Effects of Tiagabine and Lamotrigine in Combination in the Rat

PURPOSE

The pharmacodynamic interaction between the antiepileptic drugs (AEDs) tiagabine (TGB) and lamotrigine (LTG) was characterized on basis of the anticonvulsant effect in the cortical stimulation model in the rat.

METHODS

The study was conducted according to a partial crossover design, in which both drugs were infused intravenously to achieve linear increases in the plasma concentration in the absence and presence of a steady-state concentration of the second drug. The anticonvulsant effect was quantified by counts of four specific ictal signs (eye closure, forelimb clonus, forelimb extension, and head jerk). A potential pharmacokinetic interaction was accounted for by determination of total plasma concentrations of both drugs.

RESULTS

When given separately, both TGB and LTG suppressed all ictal signs in a concentration-dependent manner, with the exception of eye closure, which was not suppressed by LTG. The interaction between both drugs was estimated by response surface analysis by using the difference between the observed effect and the additive effect to identify synergistic drug concentrations. This analysis showed that the pharmacodynamic interaction between TGB and LTG is synergistic for the ictal signs of eye closure and head jerk. In contrast, the interaction was additive for the ictal signs of forelimb clonus and forelimb tonus.

CONCLUSIONS

This study demonstrates the usefulness of ictal-component analysis for studying the pharmacodynamic interaction between AEDs. Quantification of both the nature and the magnitude of the interaction between TGB and LTG led to the identification of two ictal signs that were synergistically suppressed. This approach offers a theoretical basis to identify and optimize drug combinations that are useful to treat refractory epilepsy.