Literature DB >> 18367977

Pharmacokinetic, pharmacodynamic, and pharmacogenetic targeted therapy of antiepileptic drugs.

Gail D Anderson1.   

Abstract

Therapeutic drug monitoring (TDM) is widely accepted as a method to improve the effectiveness and safety of the first generation antiepileptic drugs (AEDs) and to identify an individual's optimum concentration. Like the older AEDs, the new AEDs also have significant pharmacokinetic variability. A similar relationship between concentration and effect for the new and old AEDs in experimental seizure models suggests that it is reasonable to use TDM for the new AEDs. With the addition of generic formulations of the new AEDs, TDM can play an important role to validate bioequivalence in patients. There is a history of problems with generics of the older AEDs, primarily carbamazepine and phenytoin. The Biopharmaceutics Classification System, which correlates the solubility and permeability of a drug with oral drug absorption, predicts that there should be no significant problems with the majority of the new AEDs. Because of the controversy over the risk-benefit of generic substitution of AEDs, the use of TDM will provide a way to ensure patient safety while establishing that generics of AEDs proven to be bioequivalent in population studies are also bioequivalent in individuals. The goal of personalized medicine is to use genetic testing to target therapy and identify those individuals unlikely to respond to a drug or likely to respond adversely to the same drug. Of all the AEDs, only phenytoin undergoes significant metabolism by cytochrome P450 isozymes with significant genetic polymorphisms (CYP2C9, CYP2C19). Studies are still needed to identify genetic and biomarkers to identify patients at risk for serious idiosyncratic reactions. There have been significant advances in the understanding of the role of genetics in idiopathic as well as acquired epilepsies. Identification of experimental and clinical evidence linking functional changes associated with gene mutations to epilepsy syndromes will help provide new molecular targets for future AEDs.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18367977     DOI: 10.1097/FTD.0b013e318167d11b

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  14 in total

1.  Calculation of normalized drug concentrations in the presence of altered plasma protein binding.

Authors:  Florin Marcel Musteata
Journal:  Clin Pharmacokinet       Date:  2012-01-01       Impact factor: 6.447

Review 2.  Blood-brain barrier P450 enzymes and multidrug transporters in drug resistance: a synergistic role in neurological diseases.

Authors:  Chaitali Ghosh; Vikram Puvenna; Jorge Gonzalez-Martinez; Damir Janigro; Nicola Marchi
Journal:  Curr Drug Metab       Date:  2011-10       Impact factor: 3.731

3.  The effect of genetic polymorphisms of cytochrome P450 CYP2C9, CYP2C19, and CYP2D6 on drug-resistant epilepsy in Turkish children.

Authors:  Mehmet Seven; Bahadir Batar; Selin Unal; Gozde Yesil; Adnan Yuksel; Mehmet Guven
Journal:  Mol Diagn Ther       Date:  2014-04       Impact factor: 4.074

4.  Modern methods for analysis of antiepileptic drugs in the biological fluids for pharmacokinetics, bioequivalence and therapeutic drug monitoring.

Authors:  Juseop Kang; Yoo-Sin Park; Shin-Hee Kim; Sang-Hyun Kim; Min-Young Jun
Journal:  Korean J Physiol Pharmacol       Date:  2011-04-30       Impact factor: 2.016

Review 5.  Genomic medicine and neurological disease.

Authors:  Philip M Boone; Wojciech Wiszniewski; James R Lupski
Journal:  Hum Genet       Date:  2011-05-19       Impact factor: 4.132

6.  Use of the Biopharmaceutics Drug Disposition Classification System (BDDCS) to Help Predict the Occurrence of Idiosyncratic Cutaneous Adverse Drug Reactions Associated with Antiepileptic Drug Usage.

Authors:  Rosa Chan; Chun-Yu Wei; Yuan-Tsong Chen; Leslie Z Benet
Journal:  AAPS J       Date:  2016-03-07       Impact factor: 4.009

7.  Expression and functional relevance of UGT1A4 in a cohort of human drug-resistant epileptic brains.

Authors:  Chaitali Ghosh; Mohammed Hossain; Vikram Puvenna; Jorge Martinez-Gonzalez; Andreas Alexopolous; Damir Janigro; Nicola Marchi
Journal:  Epilepsia       Date:  2013-07-19       Impact factor: 5.864

Review 8.  Pharmacogenetic testing and therapeutic drug monitoring are complementary tools for optimal individualization of drug therapy.

Authors:  Guillermo Gervasini; Julio Benítez; Juan Antonio Carrillo
Journal:  Eur J Clin Pharmacol       Date:  2010-06-27       Impact factor: 3.064

9.  Antiepileptic drug interactions - principles and clinical implications.

Authors:  Svein I Johannessen; Cecilie Johannessen Landmark
Journal:  Curr Neuropharmacol       Date:  2010-09       Impact factor: 7.363

10.  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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.