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NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results

Epilepsy in children is the most frequent, heterogeneous and difficult to classify chronic neurologic condition with the etiology found in 35–40% of patients. Our aim is to detect the metabolic differences between the epileptic children and the children with no neurological abnormalities in order to...

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Autores principales: Boguszewicz, Łukasz, Jamroz, Ewa, Ciszek, Mateusz, Emich-Widera, Ewa, Kijonka, Marek, Banasik, Tomasz, Skorupa, Agnieszka, Sokół, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803684/
https://www.ncbi.nlm.nih.gov/pubmed/31636291
http://dx.doi.org/10.1038/s41598-019-51337-z
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author Boguszewicz, Łukasz
Jamroz, Ewa
Ciszek, Mateusz
Emich-Widera, Ewa
Kijonka, Marek
Banasik, Tomasz
Skorupa, Agnieszka
Sokół, Maria
author_facet Boguszewicz, Łukasz
Jamroz, Ewa
Ciszek, Mateusz
Emich-Widera, Ewa
Kijonka, Marek
Banasik, Tomasz
Skorupa, Agnieszka
Sokół, Maria
author_sort Boguszewicz, Łukasz
collection PubMed
description Epilepsy in children is the most frequent, heterogeneous and difficult to classify chronic neurologic condition with the etiology found in 35–40% of patients. Our aim is to detect the metabolic differences between the epileptic children and the children with no neurological abnormalities in order to define the metabolic background for therapy monitoring. The studied group included 28 epilepsy patients (median age 12 months) examined with a diagnostic protocol including EEG, videoEEG, 24-hour-EEG, tests for inborn errors of metabolism, chromosomal analysis and molecular study. The reference group consisted of 20 patients (median age 20 months) with no neurological symptoms, no development delay nor chronic diseases. (1)H-NMR serum spectra were acquired on 400 MHz spectrometer and analyzed using multivariate and univariate approach with the application of correction for age variation. The epilepsy group was characterized by increased levels of serum N-acetyl-glycoproteins, lactate, creatine, glycine and lipids, whereas the levels of citrate were decreased as compared to the reference group. Choline, lactate, formate and dimethylsulfone were significantly correlated with age. NMR-based metabolomics could provide information on the dynamic metabolic processes in drug-resistant epilepsy yielding not only disease-specific biomarkers but also profound insights into the disease course, treatment effects or drug toxicity.
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spelling pubmed-68036842019-10-24 NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results Boguszewicz, Łukasz Jamroz, Ewa Ciszek, Mateusz Emich-Widera, Ewa Kijonka, Marek Banasik, Tomasz Skorupa, Agnieszka Sokół, Maria Sci Rep Article Epilepsy in children is the most frequent, heterogeneous and difficult to classify chronic neurologic condition with the etiology found in 35–40% of patients. Our aim is to detect the metabolic differences between the epileptic children and the children with no neurological abnormalities in order to define the metabolic background for therapy monitoring. The studied group included 28 epilepsy patients (median age 12 months) examined with a diagnostic protocol including EEG, videoEEG, 24-hour-EEG, tests for inborn errors of metabolism, chromosomal analysis and molecular study. The reference group consisted of 20 patients (median age 20 months) with no neurological symptoms, no development delay nor chronic diseases. (1)H-NMR serum spectra were acquired on 400 MHz spectrometer and analyzed using multivariate and univariate approach with the application of correction for age variation. The epilepsy group was characterized by increased levels of serum N-acetyl-glycoproteins, lactate, creatine, glycine and lipids, whereas the levels of citrate were decreased as compared to the reference group. Choline, lactate, formate and dimethylsulfone were significantly correlated with age. NMR-based metabolomics could provide information on the dynamic metabolic processes in drug-resistant epilepsy yielding not only disease-specific biomarkers but also profound insights into the disease course, treatment effects or drug toxicity. Nature Publishing Group UK 2019-10-21 /pmc/articles/PMC6803684/ /pubmed/31636291 http://dx.doi.org/10.1038/s41598-019-51337-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Boguszewicz, Łukasz
Jamroz, Ewa
Ciszek, Mateusz
Emich-Widera, Ewa
Kijonka, Marek
Banasik, Tomasz
Skorupa, Agnieszka
Sokół, Maria
NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results
title NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results
title_full NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results
title_fullStr NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results
title_full_unstemmed NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results
title_short NMR-based metabolomics in pediatric drug resistant epilepsy – preliminary results
title_sort nmr-based metabolomics in pediatric drug resistant epilepsy – preliminary results
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803684/
https://www.ncbi.nlm.nih.gov/pubmed/31636291
http://dx.doi.org/10.1038/s41598-019-51337-z
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