Literature DB >> 18627414

The clinical impact of pharmacogenetics on the treatment of epilepsy.

Wolfgang Löscher1, Ulrich Klotz, Fritz Zimprich, Dieter Schmidt.   

Abstract

Drug treatment of epilepsy is characterized by unpredictability of efficacy, adverse drug reactions, and optimal doses in individual patients, which, at least in part, is a consequence of genetic variation. Since genetic variability in drug metabolism was reported to affect the treatment with phenytoin more than 25 years ago, the ultimate goal of pharmacogenetics is to use the genetic makeup of an individual to predict drug response and efficacy, as well as potential adverse drug events. However, determining the practical relevance of pharmacogenetic variants remains difficult, in part because of problems with study design and replication. This article reviews the published work with particular emphasis on pharmacogenetic alterations that may affect efficacy, tolerability, and safety of antiepileptic drugs (AEDs), including variation in genes encoding drug target (SCN1A), drug transport (ABCB1), drug metabolizing (CYP2C9, CYP2C19), and human leucocyte antigen (HLA) proteins. Although the current studies associating particular genes and their variants with seizure control or adverse events have inherent weaknesses and have not provided unifying conclusions, several results, for example that Asian patients with a particular HLA allele, HLA-B*1502, are at a higher risk for Stevens-Johnson syndrome when using carbamazepine, are helpful to increase our knowledge how genetic variation affects the treatment of epilepsy. Although genetic testing raises ethical and social issues, a better understanding of the genetic influences on epilepsy outcome is key to developing the much needed new therapeutic strategies for individuals with epilepsy.

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Year:  2008        PMID: 18627414     DOI: 10.1111/j.1528-1167.2008.01716.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  69 in total

1.  Correlation between Serum Level of Antiepileptic Drugs and their Side Effects.

Authors:  Abbashar Hussein; Amira Abdulgalil; Faroug Omer; Hassan Eltoum; Ahmed Hamad; Omer El-Adil; Bedraldin Mubarak; Mohmad Malkaldar; Iway Idris; Yasin Alwidaa; Esam Mahmoud
Journal:  Oman Med J       Date:  2010-01

2.  Association between ABCB1-T1236C polymorphism and drug-resistant epilepsy in Iranian female patients.

Authors:  Mehri Maleki; Mohammad Sayyah; Fatemeh Kamgarpour; Morteza Karimipoor; Aida Arab; Anahita Rajabi; Kourosh Gharagozli; Ahmad Reza Shamshiri; Esmaeil Shahsavand Ananloo
Journal:  Iran Biomed J       Date:  2010-07

Review 3.  Imaging of P-glycoprotein function and expression to elucidate mechanisms of pharmacoresistance in epilepsy.

Authors:  Wolfgang Löscher; Oliver Langer
Journal:  Curr Top Med Chem       Date:  2010       Impact factor: 3.295

4.  Biomarkers for antiepileptic drug response.

Authors:  Tracy A Glauser
Journal:  Biomark Med       Date:  2011-10       Impact factor: 2.851

5.  New developments in antiepileptic drug resistance: an integrative view.

Authors:  Dieter Schmidt; Wolfgang Löscher
Journal:  Epilepsy Curr       Date:  2009 Mar-Apr       Impact factor: 7.500

6.  Epilepsy: HLA alleles linked to carbamazepine hypersensitivity.

Authors:  Pasquale Striano; Federico Zara
Journal:  Nat Rev Neurol       Date:  2011-06-07       Impact factor: 42.937

Review 7.  The effects of ABCC2 G1249A polymorphism on the risk of resistance to antiepileptic drugs: a meta-analysis of the literature.

Authors:  Pin Chen; Qing Yan; Haitao Xu; Ailin Lu; Peng Zhao
Journal:  Genet Test Mol Biomarkers       Date:  2013-12-10

8.  Association of MDR1 gene C3435T polymorphism with childhood intractable epilepsy: a meta-analysis.

Authors:  Guilian Sun; Xue Sun; Limei Guan
Journal:  J Neural Transm (Vienna)       Date:  2014-02-20       Impact factor: 3.575

Review 9.  Management of the patient with medically refractory epilepsy.

Authors:  Tiziana Granata; Nicola Marchi; Erin Carlton; Chaitali Ghosh; Jorge Gonzalez-Martinez; Andreas V Alexopoulos; Damir Janigro
Journal:  Expert Rev Neurother       Date:  2009-12       Impact factor: 4.618

10.  MDR1 polymorphisms have an impact on the prognosis of Chinese diffuse large B cell lymphoma patients.

Authors:  Ying Ni; Guangli Yin; Zhengrui Xiao; Lei Fan; Li Wang; Yujie Wu; Hanxin Wu; Sixuan Qian; Wei Xu; Jianyong Li; Kourong Miao; Hairong Qiu
Journal:  Tumour Biol       Date:  2015-08-19
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