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

Abstract
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. 1H-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.
AuthorsŁukasz Boguszewicz, Ewa Jamroz, Mateusz Ciszek, Ewa Emich-Widera, Marek Kijonka, Tomasz Banasik, Agnieszka Skorupa, Maria Sokół
JournalScientific reports (Sci Rep) Vol. 9 Issue 1 Pg. 15035 (10 21 2019) ISSN: 2045-2322 [Electronic] England
PMID31636291 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Child
  • Child, Preschool
  • Discriminant Analysis
  • Drug Resistant Epilepsy (blood, metabolism)
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Least-Squares Analysis
  • Magnetic Resonance Spectroscopy
  • Male
  • Metabolic Networks and Pathways
  • Metabolome
  • Metabolomics
  • Principal Component Analysis

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