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Issue 8, 2012
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A metabonomics study of epilepsy in patients using gas chromatography coupled with mass spectrometry

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Abstract

Epilepsy is a cryptogenic neurological disorder characterized by recurrent seizures which may be precipitated by a variety of endogenous or exogenous factors, and usually occurs many months or years after a precipitating injury. Timely diagnosis and treatment at the early stage of epilepsy are very important for patients to prevent serious lesions and improve the quality of their life. In this study, the metabonomics approach based on the GC-MS technique, multivariate statistical analysis and the metabolism network analysis were applied to investigate metabolic changes in epileptic patients. The outcome of this study suggested that ten endogenous metabolites and five metabolism pathways were mainly involved and showed marked perturbations in epileptic patients. It not only enhances the understanding of the pathology of epilepsy, but also provides an experimental foundation for the therapeutic strategy of epilepsy. Furthermore, this work demonstrates the powerful predictive potential of the metabolic network analysis to neurological disease.

Graphical abstract: A metabonomics study of epilepsy in patients using gas chromatography coupled with mass spectrometry

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Publication details

The article was received on 19 Mar 2012, accepted on 24 Apr 2012 and first published on 26 Apr 2012


Article type: Paper
DOI: 10.1039/C2MB25105A
Citation: Mol. BioSyst., 2012,8, 2197-2204
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    A metabonomics study of epilepsy in patients using gas chromatography coupled with mass spectrometry

    C. Wei, Y. Li, H. Yao, H. Liu, X. Zhang and R. Guo, Mol. BioSyst., 2012, 8, 2197
    DOI: 10.1039/C2MB25105A

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