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Response to drug treatment in newly diagnosed epilepsy: a pilot study of 1H NMR- and MS-based metabonomic analysis

Sills, G. and Alzweiri, M. and Leach, J. and Brodie, M. and Robertson, C. and Watson, D.G. and Parkinson, J.A. (2010) Response to drug treatment in newly diagnosed epilepsy: a pilot study of 1H NMR- and MS-based metabonomic analysis. Epilepsy Research, 88 (2-3). pp. 189-195. ISSN 0920-1211

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Abstract

Understanding the biological basis of drug resistance and developing techniques which facilitate prediction of outcome have the potential to revolutionise the pharmacotherapy of epilepsy.We have performed a pilot study of metabonomic analysis using nuclear magnetic resonance(NMR) spectroscopy and mass spectrometry (MS) in an effort to identify metabolic biomarkers of response to antiepileptic drug treatment. Pretreatment serum samples were obtained from 125 patients with newly diagnosed epilepsy who were taking part in a randomized monotherapy trial. Outcome (responder, nonresponder) was assessed at 6 weeks, 6 months, and 12 months after starting treatment. Serum samples were subject to investigation by both NMR and MS and the resulting data interrogated by principal component analysis. There was no clear distinction in the metabolic profile, acquired by either NMR or MS, of responders and nonresponders to AED treatment at any of the three clinical end points investigated, suggesting that pretreatment serum samples do not contain any prominent biomarkers of responsiveness to initial treatment in new-onset epilepsy. Metabonomic analysis is undoubtedly applicable to the search for biological predictors of response to drug treatment in epilepsy, but future studies should employ larger patient cohorts, more discriminatory analyses, and a less equivocal clinical phenotype.

Item type: Article
ID code: 16896
Keywords: epilepsy, drug treatment, drug resistance, pharmacotherapy, metabonomic analysis, antiepileptic drugs, response to treatment, metabonomics, nuclear magnetic resonance spectroscopy, mass spectrometry, principal components analysis, Probabilities. Mathematical statistics, Therapeutics. Pharmacology, Clinical Neurology, Neurology
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Medicine > Therapeutics. Pharmacology
Department: Faculty of Science > Mathematics and Statistics
Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Faculty of Science > Pure and Applied Chemistry
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Depositing user: Strathprints Administrator
Date Deposited: 24 Mar 2010 16:15
Last modified: 27 Mar 2014 08:51
URI: http://strathprints.strath.ac.uk/id/eprint/16896

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