Abstract
This work was performed to explore the effect of polymorphism in multidrug resistant genes on plasma phenytoin levels and patient outcome to evaluate its involvement in drug resistance and toxicity, which is usually associated with antiepileptic drugs. Therefore, we genotyped the adenosine triphosphate-binding cassette subfamily B member 1 (ABCB1) in 100 patients suffering from partial or generalized tonic-clonic seizures and receiving phenytoin and 50 healthy control subjects. Steady state plasma phenytoin levels were also determined in the epileptic patients. Patients were evaluated after 3 and 6 months and were classified either as drug resistant patients or responsive patients. Results revealed 37 patients with drug responsive epilepsy and 63 patients with drug resistant epilepsy. Genotyping of our patients and control subjects revealed a genotype distribution of CC, CT, TT: 55.50%, 38.00%, 6.50% for drug resistant patients, CC, CT, TT: 13.50%, 46.00%, 40.50% for drug responsive patients, and CC, CT, TT: 24.00%, 48.00%, 28.00% for the control subjects. Patients with drug-resistant epilepsy were more likely to have the CC than the TT genotype compared with either responsive patients (P < 0.0001) or control subjects (P < 0.0001). The C polymorphism was over-represented among patients with drug-resistant epilepsy as compared with either those with drug-responsive epilepsy (P < 0.001) or control subjects (P < 0.001). Of the total 100 epileptic patients, 13 patients had their plasma phenytoin levels exceeding the maximum safe concentration. These 13 patients were more likely to have TT genotype than the CC genotype compared with the remainder of patients who had their plasma phenytoin levels at 20 microg/mL or less. Responsive patients showed no deviation from the control group regarding the genotype (P > 0.05) or allele frequency (P > 0.05). In conclusion, because most of the antiepileptic drugs are multidrug resistant gene substrates, the ABCB1 is thus an important candidate gene for potentially influencing the response to antiepileptic drugs. Our findings suggest that using genotype data may make it possible to safely reduce the time required to reach an effective dose. Therefore, it is a priority to assess the utility of dose adjustment on the basis of genotype for these medicines that are substrates for this gene.
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