Anticonvulsant drugs differentially suppress individual ictal signs: A pharmacokinetic/pharmacodynamic analysis in the cortical stimulation model in the rat

Metformin for Treatment of Fragile X Syndrome and Other Neurological Disorders

Fragile X syndrome (FXS) is the most frequent inherited form of intellectual disability and autism spectrum disorder. Loss of the fragile X mental retardation protein, FMRP, engenders molecular, behavioral, and cognitive deficits in FXS patients. Experiments using different animal models advanced our knowledge of the pathophysiology of FXS and led to the discovery of many targets for drug treatments. In this review, we discuss the potential of metformin, an antidiabetic drug approved by the US Food and Drug Administration, to correct core symptoms of FXS and other neurological disorders in humans. We summarize its mechanisms of action in different animal and cellular models and human diseases.

Modeling and simulation of count data

Count data, or number of events per time interval, are discrete data arising from repeated time to event observations. Their mean count, or piecewise constant event rate, can be evaluated by discrete probability distributions from the Poisson model family. Clinical trial data characterization often involves population count analysis. This tutorial presents the basics and diagnostics of count modeling and simulation in the context of pharmacometrics. Consideration is given to overdispersion, underdispersion, autocorrelation, and inhomogeneity.

Application of population pharmacokinetics for preclinical safety and efficacy studies

From the beginning of the 1980s, population PK has been primarily used in clinical development and only in the last decade has it been convincingly applied in a preclinical setting. Sparse sampling and covariate analyses are key features of preclinical popPK, useful for toxicology and efficacy studies in animals to assemble data obtained from different studies; for describing individual PK and PD; for building mechanistic models; and for performing interspecies scaling-up of disposition and efficacy. Application in disease models, mainly in behavioral and neurological models, allows the quantitative description of PK and PD without frequent blood sampling and recurrent physiological measurements, which are the critical and compromising perturbations of experimental systems. A preclinical population approach to PK and PD, by its versatility and possibility of simulating ‘what if’ scenarios, offers a unique and potent tool in the development of new drugs, in particular biologics.

Pharmacokinetic-pharmacodynamic modeling of the effect of fluvoxamine on p-chloroamphetamine-induced behavior

The pharmacokinetic-pharmacodynamic (PK-PD) correlation of the effect of fluvoxamine on para-chloroamphetamine (PCA)-induced behavior was determined in the rat. Rats (n=66) with permanent arterial and venous cannulas received a 30-min intravenous infusion of 1.0, 3.7 or 7.3 mg kg(-1) fluvoxamine. At various time points after the start of fluvoxamine administration, a single dose of PCA (2.5 mg kg(-1)) was injected in the tail vein and resulting behavioral effects, excitation (EXC), flat body posture (FBP) and forepaw trampling (FT), were immediately scored (scores: 0, 1, 2 or 3) over a period of 5 min. In each individual animal the time course of the fluvoxamine plasma concentration was determined up to the time of PCA administration. Observed behavioral effects were related to fluvoxamine plasma concentrations. Fluvoxamine pharmacokinetics was described by a population three-compartment pharmacokinetic model. The effects of fluvoxamine on PCA-induced behavior (probability of EXC, FBP and FT) were directly related to fluvoxamine plasma concentration on the basis of the proportional odds model. For EXC, EC(50) values for the cumulative probabilities P(Y<1), P(Y<2), P(Y<3) were 237+/-39, 174+/-28 and 100+/-20 ng ml(-1), respectively. Slightly higher EC(50) values were obtained for the corresponding effects on FBP and FT. This investigation demonstrates the feasibility of PK-PD modeling of categorical drug effects in animal behavioral pharmacology. This constitutes a basis for the future development of a mechanism-based PK-PD model for fluvoxamine in this paradigm.

The evaluation of antimuscarinic-induced convulsions in fasted rats after food intake

The present study was performed to evaluate convulsions after food intake in fasted rats pretreated with scopolamine or atropine and to determine whether these convulsions respond to drugs found effective in fasted mice. Scopolamine (2.4 mg/kg) and atropine (2.4 mg/kg) were given intraperitoneally (i.p.) to rats fasted for 52h. Both drugs induced convulsions after animals were allowed to eat ad lib. Another group of fasted rats pretreated with saline, MK-801 (0.1mg/kg), clonidine (0.1mg/kg), chlorpromazine (2 and 4 mg/kg), valproate (200mg/kg), diazepam (1.5 and 2mg/kg) or gabapentin (50mg/kg) were treated i.p. with saline or scopolamine (2.4 mg/kg) and were allowed to eat ad lib. Clonidine, MK-801, chlorpromazine (4 mg/kg) and diazepam (2 mg/kg) reduced the incidence of scopolamine-induced convulsions in fasted rats. Gabapentin could only prolong the onset of convulsions. Neither treatment was effective against myoclonus of hindlimbs. Present results showed that fasted rats also develop antimuscarinic-induced convulsions which do not completely respond to treatments found effective in convulsions of fasted mice.

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.