Therapeutic drug monitoring of the newer antiepileptic drugs

High-performance thin-layer chromatographic determination of lamotrigine in serum

A simple and rapid high-performance thin-layer chromatographic (HPTLC) determination of lamotrigine (LTG) in serum is reported. The method involves extraction of the drug by ethyl acetate followed by separation on TLC silica plates using a mixture of toluene-acetone-ammonia (7:3:0.5), as eluting solvent. Densitometric analysis was carried out at 312 nm with lamotrigine being detected at Rf of 0.54. The analytical method has excellent linearity (r=0.998) in the range of 20-300 ng/spot. This assay range is adequate for analyzing human serum, as it corresponds to lamotrigine concentrations measured in human serum from epileptic patients. The method was validated for sensitivity, selectivity, extraction efficiency, accuracy and intra and inter-day reproducibility. The limit of detection and limit of quantification were found to be 6.4 and 10.2 ng, respectively. Good accuracy is reported in the range of 92.06-97.12% and high precision with %CV in range of 0.53-2.59. The method was applied for determination of serum lamotrigine levels in epileptic patients and in pharmacokinetic study of lamotrigine administered orally to rabbits.

Simultaneous determination of lamotrigine, phenobarbitone, carbamazepine and phenytoin in human serum by high-performance liquid chromatography

A simple reversed-phase high-performance liquid chromatography (HPLC) method was developed for the simultaneous estimation of the antiepileptic drugs (AEDs) lamotrigine (LTG), phenobarbitone (PB), carbamazepine (CBZ) and phenytoin (PHT) in human serum. The procedure involves extraction of the AEDs by mixing 200 microl of serum with 200mul of acetonitrile containing 10 microg/ml of pentobarbitone as internal standard (IS). After centrifugation, 10 microl of the supernatant was injected onto a NOVA PAK C-18 column (250 mm x 4.6mm, 5 microm Hypersil ODS) and eluted with a mobile phase consisting of phosphate buffer (10 mM)-methanol-acetonitrile-acetone in the ratio of 55:22:12:11 (v/v) adjusted to pH 7.0. A UV detector set at 210 nm was employed for detection. The AEDs were well resolved from the human serum constituents and the internal standard. The method can quantify LTG, PB, CBZ, and PHT at concentrations as low as 0.2 microg/ml. The method was quantitatively evaluated in terms of linearity, accuracy, precision, recovery, selectivity, sensitivity, and specificity. The method is simple, convenient, and suitable for the analysis of AEDs from human serum.

Lack of pharmacokinetic interactions between steady-state zonisamide and valproic acid in patients with epilepsy

OBJECTIVES

This study evaluated the effect of the addition of zonisamide on valproic acid (valproate sodium) pharmacokinetics under steady-state conditions in patients with epilepsy. A second aim was to characterise zonisamide pharmacokinetics in the presence of valproic acid.

METHODS

Twenty-two patients (males and females, 18-55 years of age) with their seizure disorder stabilised on valproic acid monotherapy were included in a two-centre, open-label, one-way drug-interaction trial. The zonisamide dose was gradually increased from 100 mg/day to 400 mg/day. Three pharmacokinetic profiles were obtained: on days -7 and -1, to assess pharmacokinetic parameters of oral valproic acid administered alone, and on day 35, after 14 days of zonisamide treatment at the maximal tolerated dose, to evaluate the effect of zonisamide on valproic acid pharmacokinetics and to characterise zonisamide pharmacokinetics in the presence of valproic acid.

RESULTS

Seventeen patients completed the study, with 16 patients contributing to the pharmacokinetic analyses. Coadministration of zonisamide and valproic acid appeared reasonably well tolerated. Steady-state dosing of zonisamide (200mg twice daily) had no statistically significant effect on the mean (+/- SD) maximum observed plasma concentration (C(max)) [70.8 +/- 20.5 vs 69.2 +/- 27.0 microg/mL], area under the plasma concentration-time curve from the time of dosing to 12 hours post-dose (AUC(12)) [689.3 +/- 250.4 vs 661.8 +/- 251.3 microg . h/mL] or other evaluated pharmacokinetic parameters for valproic acid measured before and after zonisamide administration. Furthermore, 90% confidence intervals for the ratio of the geometric means (day 35/day -1) of valproic acid pharmacokinetic exposure measures fell only slightly outside the 'no effect' range of 0.80-1.25. In the presence of valproic acid, mean zonisamide oral clearance (1.23 L/h) and elimination half-life (52.5 hours) are generally consistent with values reported for healthy volunteers receiving zonisamide monotherapy.

CONCLUSION

There is no apparent clinically significant effect of steady-state dosing of zonisamide on valproic acid pharmacokinetics, and valproic acid did not appear to affect the pharmacokinetics of zonisamide, indicating that no dosage adjustment of either drug should be required when they are used in combination in patients with epilepsy.

Plasma and whole blood pharmacokinetics of topiramate: the role of carbonic anhydrase

Topiramate (TPM) is a broad-spectrum antiepileptic drug with various mechanisms of action including an inhibitory effect on some isozymes of carbonic anhydrase (CA). Binding to CA-I and CA-II, which are highly concentrated in erythrocytes, may affect drug pharmacokinetics. Consequently, the objectives of this study were: (a) to comparatively assess TPM pharmacokinetics in healthy subjects, based on plasma and whole blood data, by simultaneously measuring TPM concentrations in plasma and whole blood following different therapeutic doses; (b) to rigorously establish the affinity of TPM for CA-I and CA-II in order to gain insight into how binding to these isozymes in erythrocytes influences TPM pharmacokinetics. TPM (100, 200 and 400 mg, single dose) was given in a randomized three-way crossover design to 27 healthy subjects and the drug concentrations in plasma and whole blood were simultaneously measured for 168 h after dosing. The pharmacokinetics of TPM in plasma was linear, but TPM clearance from whole blood increased with increasing dose. At low therapeutic concentrations, the blood-to-plasma ratio for TPM decreased from 8 to 2 as its concentration increased, indicating a substantial and saturable binding of TPM to erythrocytes. The kinetics (dissociation binding constant -Kd and maximum binding rate -Bmax) of the binding of TPM to erythrocytes was determined from the measured concentrations of TPM in whole blood and plasma. This analysis indicated the existence of two binding sites with Kd values of 0.54 and 140 microM, and Bmax values of 22 and 124 micromol/L of erythrocyte volume, respectively. These Bmax values are similar to literature values for the molar concentration of human CA-II (14-25 micromol/L) and CA-I (115-125 micromol/L). TPM inhibition constant (Ki) values for the inhibition of purified human CA obtained using assays based on CO2 hydration or 4-nitrophenylacetate hydrolysis were 0.62 and 0.49 microM for CA-II, and 91 and 93 microM for CA-I. The results of these studies indicate that virtually all of the binding of TPM to erythrocytes is attributable to CA-I and CA-II. Because CA-I and CA-II are highly concentrated in erythrocytes, a large portion of TPM in whole blood is bound and serves as a depot. This contributes to the lower oral clearance (CL/F), apparent volume of distribution (Vss/F) and longer half-life (t(1/2)) that TPM has in blood compared to the CL/F, Vss/F and t(1/2), estimated from plasma data. The difference between TPM blood and plasma pharmacokinetics was more profound at low doses (< or = 100 mg/day).

Recruitment rates and fear of phlebotomy in pediatric patients in a genetic study of epilepsy

This study examined participation rates and reasons for refusal in a genetic study of human epilepsy. The study enrolled children with epilepsy and their parents, and required signing informed consent, verbalizing assent, and giving a peripheral blood sample. One hundred sixty-eight children met inclusion criteria; 137 agreed to enroll (82%), and 31 refused (18%). Sixteen of thirty-one patients (52%) who refused cited fear of phlebotomy as the reason for refusal. All patients refusing due to fear of phlebotomy did not require blood tests for clinical purposes. As fear of phlebotomy is the primary reason for study refusal, obtaining DNA samples from a buccal swab or mouthwash protocol may be an alternative for some studies, although there are limitations to these methods. Further analysis of the factors influencing decisions to decline study enrollment is warranted. These data will help in the design of future genetic studies and may increase future participation rates.

Development of a population pharmacokinetic model for carbamazepine based on sparse therapeutic monitoring data from pediatric patients with epilepsy

BACKGROUND

Population models can be important extensions of therapeutic drug monitoring (TDM), as they allow estimation of individual pharmacokinetic parameters based on a small number of measured drug concentrations.

OBJECTIVE

This study used a Bayesian approach to explore the utility of routinely collected and sparse TDM data (1 sample per patient) for carbamazepine (CBZ) monotherapy in developing a population pharmacokinetic (PPK) model for CBZ in pediatric patients that would allow prediction of CBZ concentrations for both immediate- and controlled-release formulations.

METHODS

Patient and TDM data were obtained from a pediatric neurology outpatient database. Data were analyzed using an iterative 2-stage Bayesian algorithm and a nonparametric adaptive grid algorithm. Models were compared by final log likelihood, mean error (ME) as a measure of bias, and root mean squared error (RMSE) as a measure of precision.

RESULTS

Fifty-seven entries with data on CBZ monotherapy were identified from the database and used in the analysis (36 from males, 21 from females; mean [SD] age, 9.1 [4.4] years [range, 2-21 years]). Preliminary models estimating clearance (Cl) or the elimination rate constant (K(el)) gave good prediction of serum concentrations compared with measured serum concentrations, but estimates of Cl and K(el) were highly correlated with estimates of volume of distribution (V(d)). Different covariate models were then tested. The selected model had zero-order input and had age and body weight as covariates. Cl (L/h) was calculated as K(el) . V(d), where K(el) = [K(i) - (K(s) . age)] and V(d) = [V(i) + (V(s) . body weight)]. Median parameter estimates were V(i) (intercept) = 11.5 L (fixed); V(s) (slope) = 0.3957 L/kg (range, 0.01200-1.5730); K(i) (intercept) = 0.173 h(-1) (fixed); and K(s) (slope) = 0.004487 h(-1) . y(-1) (range, 0.0001800-0.02969). The fit was good for estimates of steady-state serum concentrations based on prior values (population median estimates) (R = 0.468; R(2) = 0.219) but was even better for predictions based on individual Bayesian posterior values (R(2) = 0.991), with little bias (ME = -0.079) and good precision (RMSE = 0.055).

CONCLUSIONS

Based on the findings of this study, sparse TDM data can be used for PPK modeling of CBZ clearance in children with epilepsy, and these models can be used to predict Cl at steady state in pediatric patients. However, to estimate additional pharmacokinetic model parameters (eg, the absorption rate constant and V(d)), it would be necessary to combine sparse TDM data with additional well-timed samples. This would allow development of more informative PPK models that could be used as part of Bayesian dose-individualization strategies.

Histone deacetylases inhibition and tumor cells cytotoxicity by CNS-active VPA constitutional isomers and derivatives

The tumor cells toxicity of the antiepileptic drug valproic acid (VPA) has been associated with the inhibition of histone deacetylases (HDACs). We have assessed, in comparison to VPA, the HDACs inhibition and tumor cells cytotoxicities of CNS-active VPA's constitutional isomers, valnoctic acid (VCA), propylisopropylacetic acid (PIA), diisopropylacetic acid (DIA), VPA's cyclopropyl analogue 2,2,3,3-tetramethylcyclopropanecarboxylic acid (TMCA) and VPA's metabolites, 2-ene-VPA and 4-ene-VPA, all possessing, as does VPA, eight carbon atoms in their structures. The aim was to define structural components of the VPA molecule that are involved in HDACs inhibition and tumor cells cytotoxicity. HDACs inhibition by the above-mentioned compounds was estimated using an acetylated lysine substrate and HeLa nuclear extract as a HDACs source. SW620 cells were used for assessing HDACs inhibition in vivo. The cytotoxicity of these compounds was assessed in SW620 and 1106mel cells. HDAC inhibition potency was the highest for VPA and 4-ene-VPA (IC(50)=1.5mM each). 2-Ene-VPA inhibited HDACs with IC(50)=2.8mM. IC(50) values of the other tested compounds for HDACs inhibition were higher than 5mM, 4-ene-VPA and VPA induced histone hyperacetylation in SW620 cells. 4-Ene-VPA and VPA at 2mM each were also most potent in reducing cell viability, to 59+/-2.0% and 67.3+/-5.4%, respectively, compared to control. VCA, PIA, DIA, TMCA, 2-ene-VPA and valpromide (VPD) did not reduce viability to less than 80%. All tested compounds did not significantly affect the cell cycle of SW620 cells. In conclusion, in comparison to the VPA derivatives and constitutional isomers tested in this study, VPA had the optimal chemical structure in terms of HDACs inhibition and tumor cells cytotoxicity.

Effects of Anticonvulsants on Human P450c17 (17alpha-Hydroxylase/17,20 Lyase) and 3beta-Hydroxysteroid Dehydrogenase Type 2

PURPOSE

Women with epilepsy apparently have a higher incidence of polycystic ovary syndrome (PCOS) than do women without epilepsy. Whether the underlying disease or the antiepileptic drug (AED) treatment is responsible for this increased risk is unknown, although clinical reports implicate valproic acid (VPA) as a potential cause. The steroidogenic enzymes 3beta HSDII (3beta-hydroxysteroid dehydrogenase) and P450c17 (17alpha-hydroxylase/17,20 lyase) are essential for C19 steroid biosynthesis, which is enhanced during adrenarche and in PCOS.

METHODS

To determine whether the AEDs VPA, carbamazepine (CBZ), topiramate (TPM), or lamotrigine (LYG) directly affect the activities of human 3beta HSDII and P450c17, we added them to yeast expressing human P450c17 or 3beta HSDII and assayed enzymatic activities in the microsomal fraction.

RESULTS

Concentrations of VPA < or = 10 mM had no effect on activities of P450c17; however, VPA inhibited 3beta HSDII activity starting at 0.3 mM (reference serum unbound concentration, 0.035-0.1 mM) with an IC50 of 10.1 mM. CBZ, TPM, and LTG did not influence 3beta HSDII or P450c17 activities at typical reference serum unbound concentrations, but did inhibit 3beta HSDII and P450c17 at concentrations >10-fold higher.

CONCLUSIONS

None of the tested AEDs influenced 3beta HSDII or P450c17 activities at concentrations normally used in AED therapy. However, VPA started to inhibit 3beta HSDII activity at concentrations 3 times above the typical reference serum unbound concentration. Because inhibition of 3beta HSDII activity will shift steroidogenesis toward C19 steroid production when P450c17 activities are unchanged, very high doses of VPA may promote C19 steroid biosynthesis, thus resembling PCOS. CBZ, TPM, and LTG influenced 3beta HSDII and P450c17 only at toxic concentrations.

Lamotrigine in psychiatry: pharmacology and therapeutics

Following the introduction of lamotrigine in 1994 as a treatment for epilepsy in the United States, the drug has seen progressively greater application in psychiatry, particularly as a treatment for bipolar disorder. This review critically evaluates the support for lamotrigine use across a broad range of psychiatric disorders as well as discuss its pharmacology, side-effect profile, and interactions with other medications.

Cost-Effectiveness of Therapeutic Drug Monitoring

There are a number of effective but highly toxic drugs that exhibit a narrow therapeutic index and marked interpatient pharmacokinetic variability. Individualized therapy with such drugs requires therapeutic drug monitoring (TDM) to obtain the desired clinical effects safely. Cost-effectiveness analysis in health care is still at an early stage of development, especially for TDM. A systematic review was carried out to document studies that have addressed the cost-effectiveness of TDM. The Cochrane database and Medline were searched. References identified by this approach were then searched manually for relevant articles. Very few studies have been performed that document the cost-effectiveness of TDM, and TDM has been demonstrated to be cost-effective only for aminoglycosides. For the other classes of drugs that are monitored, the rationale for TDM has been supported, but appropriate cost-effectiveness analyses have not been performed. Because the use of many of these drugs without TDM would increase the risk of under- or overdosing, emphasis should not be placed solely on cost-effectiveness but rather on how such interventions can be applied in the most cost-effective and clinically useful manner.

Quantitative determination of vigabatrin and gabapentin in human serum by gas chromatography-mass spectrometry

BACKGROUND

Published methods for routine clinical monitoring of vigabatrin and gabapentin are often very laborious. A simple GC-MS method was developed for the simultaneous quantitative determination of vigabatrin and gabapentin in human serum.

METHODS

After protein precipitation, the compounds are derivatized by methylation and analysed on a polydimethylsiloxane column using splitless injection. Cyclobarbital is used as the internal standard. To attain maximal sensitivity, detection is performed in selected ion monitoring mode.

RESULTS

The method was fully validated and linear calibration curves were obtained in the concentration ranges from 5 to 80 microg/mL for vigabatrin and from 5 to 30 microg/mL for gabapentin. The within-day and day-to-day relative standard deviations at three different concentration levels were <10% and <15%, respectively. The limit of quantitation was 2 mug/mL for both compounds.

CONCLUSIONS

The presented method provides high chromatographic resolution, good sensitivity and unequivocal identification potential and can be used for simultaneous analysis of both antiepileptics.

Severe overdosage with the antiepileptic drug oxcarbazepine

Few published human data are available concerning the acute toxicity of the new antiepileptic drug oxcarbazepine of which the metabolite 10- monohydroxy derivate (MHD) is the pharmacologically effective compound. Two hours after a documented overdosage of more than 100 tablets oxcarbazepine, the serum level of the parent compound was 10-fold higher than the therapeutic dosage (31.6 mg l(-1)). However, the concentration of MHD, which peaked 7 h after intake, was only twofold higher (59.0 mg l(-1)). No life-threatening situations occurred and the patient fully recovered. The fact that oxcarbazepine is a prodrug and that the formation of the active MHD metabolite is a rate-limiting process may contribute to the relative low toxicity of the drug in overdose.

Effects of the antiepileptic drugs lamotrigine, topiramate and gabapentin on hERG potassium currents

Drugs that inhibit the cardiac rapid delayed rectifier potassium ion current (I(Kr)) can be proarrhythmic and their clinical use has been associated with sudden unexpected death (SUD) due to cardiac arrhythmia. SUD is 20-40 times more common among people with epilepsy than in the general population and case-control studies have identified polytherapy with antiepileptic drugs (AEDs) as a risk factor. In a previous study, it was described that the old AEDs phenytoin and phenobarbital had the potential to inhibit the I(Kr) channel and it was suggested that this could contribute to the increased risk for SUD in patients with epilepsy. In this study, we have investigated the I(Kr) blocking potential of some more recently introduced AEDs, lamotrigine (LTG), topiramate (TPM) and gapapentin (GBP). The whole cell patch-clamp recording technique was used to study the effects on I(Kr) channels expressed by the human ether-a-go-go related gene (hERG) stably expressed in human embryo kidney (HEK) 293 cells. Tail currents, which are purely related to hERG currents, were blocked with IC50 and IC20 (the concentrations when 50% and 20% inhibition was obtained compared to control values) of 229 and 21 microM, respectively, for LTG. A 40% inhibition of tail currents was obtained at GBP concentrations of 100 mM and a 20% inhibition at 54 mM. A 35% inhibition of tail currents was obtained at TPM concentrations of 1000 microM and a 20% inhibition at 87 microM, respectively. Collective data show that drugs with the same margins (ratio hERG IC50/unbound therapeutic concentration) as LTG, may have arrhythmogenic potential. The risk for arrhythmia may be clinically significant in the presence of predisposing factors such as seizure-induced acidosis and in the case of concurrent treatment with other I(Kr) blocking drugs, or in case of pharmacokinetic drug-drug interactions resulting in excessively high concentrations of LTG.

Long-Term Follow-Up Using a Higher Target Range for Lamotrigine Monitoring

The aims of the study were (1) to review the clinical application of the higher target plasma lamotrigine (LTG) concentration of 3-14 mg/L previously proposed by our therapeutic drug monitoring (TDM) laboratory following our initial study 7 years earlier, and (2) to survey clinical application of LTG assays by experienced neurologists (n = 11) who frequently use LTG. There was a 2.9-fold increase in LTG assay requests received by our laboratory from 1996 to 2003. By comparison, data for the number of LTG prescriptions filled throughout Australia were limited to the 4 years from 1997 to 2000, where a 1.7-fold increase was seen. LTG assay requests increased 1.5-fold in this same 4-year period (r2 = 0.97), indicating that the growth in assay requests paralleled the growth in prescriptions. The distribution of LTG concentrations measured in 2003 was compared with those for 1996 and 1997. This indicated there was a significantly increased (P < 0.01) clinical usage of the higher LTG target range. This result was reinforced by questionnaire responses. Respondents (100% of those surveyed), (1) considered the target LTG concentration (3-14 mg/L) to be one of the primary parameters applied in individualizing LTG dosage regimens, (2) were using target concentrations above 7 mg/L in 75% of patients, and (3) reported dose-limiting toxicities in some (but not all) patients typically at concentrations above, or well above, 13 mg/L. In conclusion, the growth in LTG assay requests received by our laboratory paralleled prescribing of this drug. The clinical use of the higher LTG target concentration range was increased during the 7 years since its introduction, indicating clinical acceptance and therapeutic benefit as well as the absence of long-term adverse effects associated with higher plasma LTG concentrations.

Correlation analysis between anticonvulsant ED50 values of antiepileptic drugs in mice and rats and their therapeutic doses and plasma levels

OBJECTIVE

Although there are several animal models of epilepsy, the extrapolation of antiepileptic drug (AEDs) performance to epileptic patients from anticonvulsant activity results in animals is not straightforward. Consequently, the aim of this work was to perform a correlation analysis between therapeutic daily doses (D) and average steady-state plasma concentrations (Css,av) of AEDs and their activity in common anticonvulsant animal models.

METHODS

AED activity in anticonvulsant animal models was expressed as maximal electroshock seizure (MES) test ED50 values in mice and rats and ED50 values in audiogenic seizure-susceptible mice (AGS ED50). Data were examined, by use of linear and logarithmic approaches, for an association between Css,av (mg/L or micromol/L) and D (mg or mmol) for each AED in epileptic patients as the dependent variable (Y) and its MES ED50 in mice and rats and AGS ED50 in mice (mg/kg or micromol/kg) as the independent variable (X).

RESULTS

Linear correlation analyses between Css,av (mg/L) and ED50 (mg/kg) for 11 AEDs gave the following correlation coefficients (R2): 0.68 (mice, MES); 0.73 (rat, MES); 0.64 (AGS). Switching the units from milligrams to micromoles improved the correlation significantly and gave the following R2 values: 0.88 (mice, MES); 0.90 (rat, MES); 0.76 (AGS). The linear correlation between Css,av and ED50 was better than that between D and ED50.

CONCLUSIONS

The results of this analysis suggest that the relationship between Css,av and ED50 is useful in predicting target concentration ranges in humans. The Y intercepts of the Css,av-versus-ED50 and D-versus- ED50 plots were similar in all three animal models and ranged between 12 and 17 mg/L and between 570 and 890 mg, respectively, indicating that for all AEDs analyzed except valproic acid and ethosuximide, the therapeutic plasma concentration is in the range 10-20 mg/L.

Associative somatodendritic interaction in layer V pyramidal neurons is not affected by the antiepileptic drug lamotrigine

The antiepileptic drug lamotrigine was described to exert its effects on neuronal excitability via voltage-gated sodium and calcium, as well as hyperpolarization-activated conductances. In order to define the effects of lamotrigine on the excitability of layer V pyramidal cells of the rat somatosensory cortex we performed patch-clamp recordings from the soma and dendrite of this major cortical output cell type in acute slices. Voltage-clamp experiments revealed the blockade of the persistent sodium current by 50-100 micro m lamotrigine as well as by 50 micro m of the anticonvulsant drug phenytoin. In somatic current-clamp studies lamotrigine, in a therapeutic concentration range, depolarizes the membrane potential reflecting the activation of the hyperpolarization-activated current. This depolarization reduces the rheobase and increases the spiking frequency at the onset of the spike train. For long depolarizing current pulses under lamotrigine, however, a use-dependent block of sodium channels reduces spiking frequency and spike amplitude. The depolarization due to 50-100 micro m lamotrigine reduces additionally the critical frequency of back-propagating spikes necessary to elicit a dendritic calcium action potential. Ten to thirty micromolar lamotrigine, in contrast, did not change the critical frequency. Lamotrigine blocks long-lasting, high frequent spiking activity due to its use-dependent sodium channel block, while burst activity is not impaired due to a depolarizing shift of the membrane potential. This drug therefore dampens epileptic activity while leaving the somatodendritic association in layer V pyramidal cells intact.

The Activity of Antiepileptic Drugs as Histone Deacetylase Inhibitors

PURPOSE

Valproic acid (VPA), one of the widely used antiepileptic drugs (AEDs), was recently found to inhibit histone deacetylases (HDACs). HDAC inhibitors of a wide range of structures, such as hydroxamic acids, carboxylic acids, and cyclic tetrapeptides, have various effects on transformed and nontransformed cells, including neuromodulation and neuroprotection. The aim of this study was to assess comparatively the activity of traditional and newer AEDs as HDAC inhibitors.

METHODS

After incubation of HeLa cells with the tested AEDs, histone hyperacetylation was assessed by immunoblotting with an antibody specific to acetylated histone H4. Direct HDAC inhibition by AEDs was estimated by using HeLa nuclear extract as an HDACs source and an acetylated lysine substrate.

RESULTS

We found that in addition to VPA, topiramate (TPM) inhibited HDACs with apparent Ki values of 2.22 +/- 0.67 mM. Although levetiracetam (LEV) had no direct effect on HDACs, its major carboxylic acid metabolite in humans, 2-pyrrolidinone-n-butyric acid (PBA), inhibited HDACs with Ki values of 2.25 +/- 0.78 mM. The AEDs LEV, phenobarbital, phenytoin, carbamazepine, ethosuximide, gabapentin, and vigabatrin did not inhibit HDACs. The compounds that directly inhibited HDACs also induced the accumulation of acetylated histone H4 in HeLa cells. The effects of TPM and PBA on histone acetylation were significant at 0.25 mM and 1 mM, respectively.

CONCLUSIONS

We found that in addition to VPA, the newer AED TPM and the major metabolite of LEV, PBA, are able to induce histone hyperacetylation in human cells, although with lower potencies than VPA.

Seizure disorders in pregnancy

This article discusses seizure disorders in pregnancy. Seizure disorder affects 1.1 million women of reproductive age in the United States. In 1995, the annual cost of treatment of patients who had epilepsy was estimated to be 12.5 billion dollars. Seizures are disorganized firing of neural cells. Epilepsy is the presence of two or more seizures in the absence of an identifiable cause for the seizures (ie, no intracranial or metabolic abnormality). Epilepsy has an impact on many aspects of women's health, particularly with respect to reproduction. The management of women who have epilepsy during pregnancy is the focus of this article.

Feasibility and Limitations of Oxcarbazepine Monitoring Using Salivary Monohydroxycarbamazepine (MHD)

The purpose of this study is to determine the feasibility of using 10-hydroxy-10,11-dihydrocarbazepine (MHD) concentration in saliva as an alternative to serum for the therapeutic monitoring of oxcarbazepine (OXC) treatment. Investigators identified subjects seen in neurology clinics at the University of Kentucky Chandler Medical Center. Patients were eligible if they agreed to participate in this study, were taking oxcarbazepine, and if a serum MHD concentration had been ordered by their physician. Unstimulated saliva specimens (0.25 mL minimum) were collected in the clinic and frozen until analysis. Blood samples were obtained by phlebotomy. Serum specimens were analyzed by a reference laboratory. Saliva MHD concentrations were determined by high-performance liquid chromatography in the Clinical Laboratory at the Cincinnati Children's Hospital Medical Center. Linear regression analysis was used to evaluate correlations. Saliva and blood specimens were collected from 28 epilepsy patients, but usable samples were obtained from only 23. The mean serum MHD concentration was 23.9 +/- 10.0 microg/mL, and the mean saliva concentration was 23.1 +/- 10.1 microg/mL. There was a significant positive correlation between the serum and saliva concentrations: saliva (y) = 0.95 serum (x) + 0.39; r = 0.941; n = 23; P < 0.001). The mean saliva:serum MHD concentration ratio was 0.96 +/- 0.15. The results of the current study indicate that the relationship between freely flowing (unstimulated) saliva and serum concentrations of MHD is sufficient for therapeutic drug monitoring. A limitation of saliva MHD monitoring is that individuals who have difficulty producing small quantities of saliva or who have viscous saliva should generally be avoided for this type of monitoring. It is also recommended to avoid saliva collection within 8 hours after OXC dosing to allow complete absorption and transformation of the parent drug.

Clinical pharmacokinetics of oxcarbazepine

Oxcarbazepine is an antiepileptic drug with a chemical structure similar to carbamazepine, but with different metabolism. Oxcarbazepine is rapidly reduced to 10,11-dihydro-10-hydroxy-carbazepine (monohydroxy derivative, MHD), the clinically relevant metabolite of oxcarbazepine. MHD has (S)-(+)- and the (R)-(-)-enantiomer, but the pharmacokinetics of the racemate are usually reported. The bioavailability of the oral formulation of oxcarbazepine is high (>95%). It is rapidly absorbed after oral administration, reaching peak concentrations within about 1-3 hours after a single dose, whereas the peak of MHD occurs within 4-12 hours. At steady state, the peak of MHD occurs about 2-4 hours after drug intake. The plasma protein binding of MHD is about 40%. Cerebrospinal fluid concentrations of MHD are in the same range as unbound plasma concentrations of MHD. Oxcarbazepine can be transferred significantly through the placenta in humans. Oxcarbazepine and MHD exhibit linear pharmaco-kinetics and no autoinduction occurs. Elimination half-lives in healthy volunteers are 1-5 hours for oxcarbazepine and 7-20 hours for MHD. Longer and shorter elimination half-lives have been reported in elderly volunteers and children, respectively. Mild to moderate hepatic impairment does not appear to affect MHD pharmacokinetics. Renal impairment affects the pharmacokinetics of oxcarbazepine and MHD. The interaction potential of oxcarbazepine is relatively low. However, enzyme-inducing antiepileptic drugs such as phenytoin, phenobarbital or carbamazepine can reduce slightly the concentrations of MHD. Verapamil may moderately decrease MHD concentrations, but this effect is probably without clinical relevance. The influence of oxcarbazepine on other antiepileptic drugs is not clinically relevant in most cases. However, oxcarbazepine appears to increase concentrations of phenytoin and to decrease trough concentrations of lamotrigine and topiramate. Oxcarbazepine lowers concentrations of ethinylestra-diol and levonorgestrel, and women treated with oxcarbazepine should consider additional contraceptive measures. Due to the absent or lower enzyme-inducing effect of oxcarbazepine, switching from carbamazepine to oxcarbazepine can result in increased serum concentrations of comedication, sometimes associated with adverse effects. The effect of oxcarbazepine appears to be related to dose and to serum concentrations of MHD. In general, daily fluctuations of MHD concentration are relatively slight, smaller than would be expected from the elimination half-life of MHD. However, relatively high fluctuations can be observed in individual patients. Therapeutic monitoring may help to decide whether adverse effects are dependent on MHD concentrations. A mean therapeutic range of 15-35 mg/L for MHD seems to be appropriate. However, more systematic studies exploring the concentration-effect relationship are required.

Therapeutic drug monitoring of old and newer anti-epileptic drugs

The aim of the present paper is to provide information concerning the setting up and interpretation of therapeutic drug monitoring (TDM) for anti-epileptic drugs. The potential value of TDM for these drugs (including carbamazepine, clobazam, clonazepam, ethosuximide, felbamate, gabapentin, lamotrigine, levetiracetam, oxcarbazepine, pheneturide, phenobarbital, phenytoin, primidone, tiagabine, topiramate, valproic acid, vigabatrin and zonisamide) is discussed in relation to their mode of action, drug interactions and their pharmacokinetic properties. The review is based upon available literature data and on observations from our clinical practice. Up until approximately 15 years ago anti-epileptic therapeutics were restricted to a very few drugs that were developed in the first half of the 20th century. Unfortunately, many patients were refractory to these drugs and a new generation of drugs has been developed, mostly as add-on therapy. Although the efficacy of the newer drugs is no better, there is an apparent improvement in drug tolerance, combined with a diminished potential for adverse drug interactions. All new anticonvulsant drugs have undergone extensive clinical studies, but information on the relationship between plasma concentrations and effects is scarce for many of these drugs. Wide ranges in concentrations have been published for seizure control and toxicity. Few studies have been undertaken to establish the concentration-effect relationship. This review shows that TDM may be helpful for a number of these newer drugs.

Clinical Pharmacokinetics of Levetiracetam

Since 1989, eight new antiepileptic drugs (AEDs) have been licensed for clinical use. Levetiracetam is the latest to be licensed and is used as adjunctive therapy for the treatment of adult patients with partial seizures with or without secondary generalisation that are refractory to other established first-line AEDs. Pharmacokinetic studies of levetiracetam have been conducted in healthy volunteers, in adults, children and elderly patients with epilepsy, and in patients with renal and hepatic impairment. After oral ingestion, levetiracetam is rapidly absorbed, with peak concentration occurring after 1.3 hours, and its bioavailability is >95%. Co-ingestion of food slows the rate but not the extent of absorption. Levetiracetam is not bound to plasma proteins and has a volume of distribution of 0.5-0.7 L/kg. Plasma concentrations increase in proportion to dose over the clinically relevant dose range (500-5000 mg) and there is no evidence of accumulation during multiple administration. Steady-state blood concentrations are achieved within 24-48 hours. The elimination half-life in adult volunteers, adults with epilepsy, children with epilepsy and elderly volunteers is 6-8, 6-8, 5-7 and 10-11 hours, respectively. Approximately 34% of a levetiracetam dose is metabolised and 66% is excreted in urine unmetabolised; however, the metabolism is not hepatic but occurs primarily in blood by hydrolysis. Autoinduction is not a feature. As clearance is renal in nature it is directly dependent on creatinine clearance. Consequently, dosage adjustments are necessary for patients with moderate to severe renal impairment. To date, no clinically relevant pharmacokinetic interactions between AEDs and levetiracetam have been identified. Similarly, levetiracetam does not interact with digoxin, warfarin and the low-dose contraceptive pill; however, adverse pharmacodynamic interactions with carbamazepine and topiramate have been demonstrated. Overall, the pharmacokinetic characteristics of levetiracetam are highly favourable and make its clinical use simple and straightforward.