Literature DB >> 16426995

Update on pharmacogenetics in epilepsy: a brief review.

Cassandra E I Szoeke1, Mark Newton, Julie M Wood, David Goldstein, Samuel F Berkovic, Terrence J OBrien, Les J Sheffield.   

Abstract

Recent developments in the pharmacogenetics of antiepileptic drugs provide new prospects for predicting the efficacy of treatment and potential side-effects. Epilepsy is a common, serious, and treatable neurological disorder, yet current treatment is limited by high rates of adverse drug reactions and lack of complete seizure control in a significant proportion of patients. The disorder is especially suitable for pharmacogenetic investigation because treatment response can be quantified and side-effects can be assessed with validated measures. Additionally, there is substantial knowledge of the pharmacodynamics and kinetics of antiepileptic drugs, and some candidate genes implicated in the disorder have been identified. However, recent studies of the association of particular genes and their genetic variants with seizure control and adverse drug reactions have not provided unifying conclusions. This article reviews the published work and summarises the state of research in this area. Future directions for research and the application of this technology to the clinical practice of individualising treatment for epilepsy are discussed.

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Year:  2006        PMID: 16426995     DOI: 10.1016/S1474-4422(06)70352-0

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  18 in total

Review 1.  The role of pharmacogenetics in the metabolism of antiepileptic drugs: pharmacokinetic and therapeutic implications.

Authors:  Ulrich Klotz
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

Review 2.  Issues related to development of new antiseizure treatments.

Authors:  Karen S Wilcox; Tracy Dixon-Salazar; Graeme J Sills; Elinor Ben-Menachem; H Steve White; Roger J Porter; Marc A Dichter; Solomon L Moshé; Jeffrey L Noebels; Michael D Privitera; Michael A Rogawski
Journal:  Epilepsia       Date:  2013-08       Impact factor: 5.864

3.  Pharmacogenetics of antiepileptic drug efficacy in childhood absence epilepsy.

Authors:  Tracy A Glauser; Katherine Holland; Valerie P O'Brien; Mehdi Keddache; Lisa J Martin; Peggy O Clark; Avital Cnaan; Dennis Dlugos; Deborah G Hirtz; Shlomo Shinnar; Gregory Grabowski
Journal:  Ann Neurol       Date:  2017-03       Impact factor: 10.422

4.  Epilepsy: The future scenario.

Authors:  H V Srinivas
Journal:  Ann Indian Acad Neurol       Date:  2010-01       Impact factor: 1.383

5.  Electroresponsive Nanoparticles Improve Antiseizure Effect of Phenytoin in Generalized Tonic-Clonic Seizures.

Authors:  Yi Wang; Xiaoying Ying; Liying Chen; Yao Liu; Ying Wang; Jiao Liang; Cenglin Xu; Yi Guo; Shuang Wang; Weiwei Hu; Yongzhong Du; Zhong Chen
Journal:  Neurotherapeutics       Date:  2016-07       Impact factor: 7.620

Review 6.  Channelopathies in idiopathic epilepsy.

Authors:  Sarah E Heron; Ingrid E Scheffer; Samuel F Berkovic; Leanne M Dibbens; John C Mulley
Journal:  Neurotherapeutics       Date:  2007-04       Impact factor: 7.620

7.  Pharmacogenomic association study on the role of drug metabolizing, drug transporters and drug target gene polymorphisms in drug-resistant epilepsy in a north Indian population.

Authors:  Ritu Kumari; Ram Lakhan; R K Garg; J Kalita; U K Misra; Balraj Mittal
Journal:  Indian J Hum Genet       Date:  2011-05

8.  Transcriptomic data-mining approach for identifying potential pharmacogenetic candidates in antiepileptic drug response.

Authors:  Abhay Sharma
Journal:  Indian J Hum Genet       Date:  2011-05

9.  Challenges and recommendations for conducting epidemiological studies in the field of epilepsy pharmacogenetics.

Authors:  Sandeep Grover; Meenal Gupta; Ritushree Kukreti
Journal:  Indian J Hum Genet       Date:  2011-05

10.  Translational research: Basic science to health care. Way forward.

Authors:  M Gourie-Devi
Journal:  Ann Indian Acad Neurol       Date:  2013-04       Impact factor: 1.383

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