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Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy
PURPOSE: Drug resistance is a critical issue in the treatment of epilepsy, contributing to clinical emergencies and increasing both serious social and economic burdens on the health system. The wide variety of potential drug combinations followed by often failed consecutive attempts to match drugs t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591409/ https://www.ncbi.nlm.nih.gov/pubmed/28928712 http://dx.doi.org/10.3389/fneur.2017.00459 |
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author | Murgia, Federica Muroni, Antonella Puligheddu, Monica Polizzi, Lorenzo Barberini, Luigi Orofino, Gianni Solla, Paolo Poddighe, Simone Del Carratore, Francesco Griffin, Julian L. Atzori, Luigi Marrosu, Francesco |
author_facet | Murgia, Federica Muroni, Antonella Puligheddu, Monica Polizzi, Lorenzo Barberini, Luigi Orofino, Gianni Solla, Paolo Poddighe, Simone Del Carratore, Francesco Griffin, Julian L. Atzori, Luigi Marrosu, Francesco |
author_sort | Murgia, Federica |
collection | PubMed |
description | PURPOSE: Drug resistance is a critical issue in the treatment of epilepsy, contributing to clinical emergencies and increasing both serious social and economic burdens on the health system. The wide variety of potential drug combinations followed by often failed consecutive attempts to match drugs to an individual patient may mean that this treatment stage may last for years with suboptimal benefit to the patient. Given these challenges, it is valuable to explore the availability of new methodologies able to shorten the period of determining a rationale pharmacologic treatment. Metabolomics could provide such a tool to investigate possible markers of drug resistance in subjects with epilepsy. METHODS: Blood samples were collected from (1) controls (C) (n = 35), (2) patients with epilepsy “responder” (R) (n = 18), and (3) patients with epilepsy “non-responder” (NR) (n = 17) to the drug therapy. The samples were analyzed using nuclear magnetic resonance spectroscopy, followed by multivariate statistical analysis. KEY FINDINGS: A different metabolic profile based on metabolomics analysis of the serum was observed between C and patients with epilepsy and also between R and NR patients. It was possible to identify the discriminant metabolites for the three classes under investigation. Serum from patients with epilepsy were characterized by increased levels of 3-OH-butyrate, 2-OH-valerate, 2-OH-butyrate, acetoacetate, acetone, acetate, choline, alanine, glutamate, scyllo-inositol (C < R < NR), and decreased concentration of glucose, lactate, and citrate compared to C (C > R > NR). SIGNIFICANCE: In conclusion, metabolomics may represent an important tool for discovery of differences between subjects affected by epilepsy responding or resistant to therapies and for the study of its pathophysiology, optimizing the therapeutic resources and the quality of life of patients. |
format | Online Article Text |
id | pubmed-5591409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55914092017-09-19 Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy Murgia, Federica Muroni, Antonella Puligheddu, Monica Polizzi, Lorenzo Barberini, Luigi Orofino, Gianni Solla, Paolo Poddighe, Simone Del Carratore, Francesco Griffin, Julian L. Atzori, Luigi Marrosu, Francesco Front Neurol Neuroscience PURPOSE: Drug resistance is a critical issue in the treatment of epilepsy, contributing to clinical emergencies and increasing both serious social and economic burdens on the health system. The wide variety of potential drug combinations followed by often failed consecutive attempts to match drugs to an individual patient may mean that this treatment stage may last for years with suboptimal benefit to the patient. Given these challenges, it is valuable to explore the availability of new methodologies able to shorten the period of determining a rationale pharmacologic treatment. Metabolomics could provide such a tool to investigate possible markers of drug resistance in subjects with epilepsy. METHODS: Blood samples were collected from (1) controls (C) (n = 35), (2) patients with epilepsy “responder” (R) (n = 18), and (3) patients with epilepsy “non-responder” (NR) (n = 17) to the drug therapy. The samples were analyzed using nuclear magnetic resonance spectroscopy, followed by multivariate statistical analysis. KEY FINDINGS: A different metabolic profile based on metabolomics analysis of the serum was observed between C and patients with epilepsy and also between R and NR patients. It was possible to identify the discriminant metabolites for the three classes under investigation. Serum from patients with epilepsy were characterized by increased levels of 3-OH-butyrate, 2-OH-valerate, 2-OH-butyrate, acetoacetate, acetone, acetate, choline, alanine, glutamate, scyllo-inositol (C < R < NR), and decreased concentration of glucose, lactate, and citrate compared to C (C > R > NR). SIGNIFICANCE: In conclusion, metabolomics may represent an important tool for discovery of differences between subjects affected by epilepsy responding or resistant to therapies and for the study of its pathophysiology, optimizing the therapeutic resources and the quality of life of patients. Frontiers Media S.A. 2017-09-04 /pmc/articles/PMC5591409/ /pubmed/28928712 http://dx.doi.org/10.3389/fneur.2017.00459 Text en Copyright © 2017 Murgia, Muroni, Puligheddu, Polizzi, Barberini, Orofino, Solla, Poddighe, Del Carratore, Griffin, Atzori and Marrosu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Murgia, Federica Muroni, Antonella Puligheddu, Monica Polizzi, Lorenzo Barberini, Luigi Orofino, Gianni Solla, Paolo Poddighe, Simone Del Carratore, Francesco Griffin, Julian L. Atzori, Luigi Marrosu, Francesco Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy |
title | Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy |
title_full | Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy |
title_fullStr | Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy |
title_full_unstemmed | Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy |
title_short | Metabolomics As a Tool for the Characterization of Drug-Resistant Epilepsy |
title_sort | metabolomics as a tool for the characterization of drug-resistant epilepsy |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591409/ https://www.ncbi.nlm.nih.gov/pubmed/28928712 http://dx.doi.org/10.3389/fneur.2017.00459 |
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