We demonstrated that ABCB1 polymorphisms may influence the AED responsiveness without significant changes in the plasma concentrations of CBZ. Our findings were the inverse of previous results in European epileptics, thus the influence of ABCB1 polymorphisms on the AED responsiveness and/or the P-glycoprotein activity may vary among races.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • The SCN1A gene encodes the α subunit of the neuronal voltage‐gated sodium channel, which is a target for carbamazepine and other antiepileptic drugs (AEDs). • Recent studies have demonstrated that a common polymorphism of SCN1A IVS5‐91 G > A was associated with carbamazepine and phenytoin use in daily practice. • However, it has not been determined whether the polymorphism affects carbamazepine or other AED responsiveness. WHAT THIS STUDY ADDS • This study demonstrated a significant association between the SCN1A IVS5‐91 AA genotype and carbamazepine‐resistant epilepsy, while the AA genotype did not affect carbamazepine use. AIMS To establish whether the SCN1A IVS5‐91 G > A polymorphism of the SCN1A gene, which encodes the neuronal sodium channel α subunit, affects responsivenss to the antiepileptic drugs (AEDS) carbamazepine and/or phenytoin. METHODS SCN1A IVS5‐91 G > A polymorphism was genotyped in 228 Japanese epileptic patients treated with AEDs. The association between AED responsiveness and the polymorphism was estimated by logistic regression analysis, adjusting for clinical factors affecting the outcome of AED therapy. RESULTS The frequency of the AA genotype was significantly higher in carbamazepine‐resistant patients (odds ratio, 2.7; 95% confidence interval (CI), 1.1, 7.1) and was insignificantly higher in AED‐resistant patients. CONCLUSIONS This is the first report demonstrating an association between the SCN1A polymorphism and carbamazepine‐resistant epilepsy.

BackgroundThere has been accumulating evidence that there are associations among γ-glutamyltransferase (γ-GT) elevation and all-cause mortality, cardiovascular diseases and metabolic diseases, including nonalcoholic fatty liver disease. The primary objective of this study was to evaluate the impact of the most common and potentially functional polymorphisms of antioxidant enzyme genes, i.e. superoxide dismutase 2 (SOD2), glutathione S-transferase M1 and glutathione S-transferase T1, on the γ-GT elevation during valproic acid (VPA) therapy.Methods and FindingsThis retrospective study included 237 and 169 VPA-treated Japanese patients with epilepsy for population pharmacokinetic and pharmacokinetic-pharmacodynamic analyses, respectively. A nonlinear mixed-effect model represented the pharmacokinetics of VPA and the relationships between VPA exposure and γ-GT elevation. A one-compartment model of the pharmacokinetic parameters of VPA adequately described the data; while the model for the probability of the γ-GT elevation was fitted using a logistic regression model, in which the logit function of the probability was a linear function of VPA exposure. The SOD2 Val16Ala polymorphism and complication with intellectual disability were found to be significant covariates influencing the intercept of the logit function for the probability of an elevated γ-GT level. The predicted mean percentages of the subjects with γ-GT elevation were about 2- to 3-fold, 3- to 4-fold and 4- to 8-fold greater in patients with the SOD2 Val/Val genotype but without any intellectual disability, those with the SOD2 Val/Ala or Ala/Ala genotype and intellectual disability and those with the SOD2 Val/Val genotype and intellectual disability, respectively, compared to those with the SOD2 Val/Ala or Ala/Ala genotype without intellectual disability.ConclusionOur results showed that the SOD2 Val16Ala polymorphism has an impact on the relationship between VPA exposure and γ-GT elevation in patients with epilepsy. These results suggest that determining the SOD2 genotype could be helpful for preventing the VPA-induced γ-GT elevation.

CYP2C19 genotype had an impact on the efficacy of clobazam, thus indicating that N-clobazam plays an important role in long-term clobazam therapy.

A nonlinear mixed-effect modeling (NONMEM) program was used to evaluate the effects of cytochrome P450 (CYP) 2C9 and CYP2C19 polymorphisms on the phenobarbital (PB) population clearance for Japanese epileptics. The pharmacokinetics of the 260 PB concentrations at a steady-state obtained from 79 patients was described with a one-compartment open pharmacokinetic model with first-order elimination. The covariates screened included the total body weight (BW), age, gender, PB daily dose, CYP2C9 and CYP2C19 genotypes, the coadministered antiepileptic drugs (AEDs), and complications. The final model of PB apparent clearance was as follows: CL = 0.23 x (BW/40)0.21 x 0.52CYP2C9*1/*3 x 0.68VPA x 0.85PHT x 0.85SMID x (1 + etaCL) where CL = the clearance of PB; CYP2C9*1/*3 = 1, otherwise 0; VPA = 1 if valproic acid is coadministered, otherwise 0; PHT = 1 if phenytoin is coadministered, otherwise 0; SMID = 1 if complications of severe or profound mental retardation with a significant behavior impairment are presented, otherwise 0; and etaCL = the independent random error distributed normally with the mean zero and variance equal to omegaP2. The total clearance of PB decreased by 48% in patients with CYP2C9*1/*3 genotype in comparison with those with CYP2C9*1/*1 genotype (P < 0.001). An effect of CYP2C19 polymorphisms was not detected. To our knowledge, this is the first report to demonstrate that the CYP2C9 genotype affects the PB metabolism in routine care, but the results should be further verified in other ethnic populations.