Literature DB >> 21537551

CYP2C9 polymorphism in patients with epilepsy: genotypic frequency analyzes and phenytoin adverse reactions correlation.

Carlos Alexandre Twardowschy1, Lineu César Werneck, Rosana Herminia Scola, Luciano De Paola, Carlos Eduardo Silvado.   

Abstract

OBJECTIVE: CYP2C9 is a major enzyme in human drug metabolism and the polymorphism observed in the corresponding gene may affect therapeutic outcome during treatment. The distribution of variant CYP2C9 alleles and prevalence of phenytoin adverse reactions were hereby investigated in a population of patients diagnosed with epilepsy.
METHOD: Allele-specific PCR analysis was carried out in order to determine frequencies of the two most common variant alleles, CYP2C9*2 and CYP2C9*3 in genomic DNA isolated from 100 epileptic patients. We also analyzed the frequency of phenytoin adverse reactions among those different genotypes groups. The data was presented as mean±standard deviation.
RESULTS: The mean age at enrollment was 39.6±10.3 years (range, 17-72 years) and duration of epilepsy was 26.5±11.9 years (range 3-48 years). The mean age at epilepsy onset was 13.1±12.4 years (range, 1 month-62 years). Frequencies of CYP2C9*1 (84%), CYP2C9*2 (9%) and CYP2C9*3 (7%) were similar to other published reports. Phenytoin adverse reactions were usually mild and occurred in 15% patients, without correlation with the CYP2C9 polymorphism (p=0.34).
CONCLUSION: Our findings indicate an overall similar distribution of the CYP2C9 alleles in a population of patients diagnosed with epilepsy in the South of Brazil, compared to other samples. This sample of phenytoin users showed no drug related adverse reactions and CYP2C9 allele type correlation. The role of CYP2C9 polymorphism influence on phenytoin adverse reaction remains to be determined since some literature evidence and our data found negative results.

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Year:  2011        PMID: 21537551     DOI: 10.1590/s0004-282x2011000200002

Source DB:  PubMed          Journal:  Arq Neuropsiquiatr        ISSN: 0004-282X            Impact factor:   1.420


  6 in total

Review 1.  Clinical association between pharmacogenomics and adverse drug reactions.

Authors:  Zhi-Wei Zhou; Xiao-Wu Chen; Kevin B Sneed; Yin-Xue Yang; Xueji Zhang; Zhi-Xu He; Kevin Chow; Tianxin Yang; Wei Duan; Shu-Feng Zhou
Journal:  Drugs       Date:  2015-04       Impact factor: 9.546

2.  Assessing the clinical impact of CYP2C9 pharmacogenetic variation on phenytoin prescribing practice and patient response in an integrated health system.

Authors:  Alison E Fohner; Dilrini K Ranatunga; Khanh K Thai; Brian L Lawson; Neil Risch; Akinyemi Oni-Orisan; Aline T Jelalian; Allan E Rettie; Vincent X Liu; Catherine A Schaefer
Journal:  Pharmacogenet Genomics       Date:  2019-10       Impact factor: 2.089

3.  Drug-induced gingival overgrowth: the genetic dimension.

Authors:  Noronha Shyam Curtis Charles; Rahul Chavan; Ninad Joshirao Moon; Srinivas Nalla; Jaydeepchandra Mali; Anchal Prajapati
Journal:  N Am J Med Sci       Date:  2014-09

4.  Presence of a single nucleotide polymorphism (RS3758581) in a boy with DRESS syndrome.

Authors:  Hulya Anil; Koray Harmanci; Rahmi T Tekin; Abdulkadir Kocak
Journal:  Cent Eur J Immunol       Date:  2017-12-30       Impact factor: 2.085

Review 5.  CYP2C9 polymorphisms in epilepsy: influence on phenytoin treatment.

Authors:  Carlos Eduardo Silvado; Vera Cristina Terra; Carlos Alexandre Twardowschy
Journal:  Pharmgenomics Pers Med       Date:  2018-03-29

6.  Associations of CYP2C9 and CYP2C19 Pharmacogenetic Variation with Phenytoin-Induced Cutaneous Adverse Drug Reactions.

Authors:  Alison E Fohner; Allan E Rettie; Khanh K Thai; Dilrini K Ranatunga; Brian L Lawson; Vincent X Liu; Catherine A Schaefer
Journal:  Clin Transl Sci       Date:  2020-04-18       Impact factor: 4.689

  6 in total

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