Cargando…

Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy

A major challenge in the clinical management of patients with mesial temporal lobe epilepsy (MTLE) is identifying those who do not respond to antiseizure medication (ASM), allowing for the timely pursuit of alternative treatments such as epilepsy surgery. Here, we investigated changes in plasma meta...

Descripción completa

Detalles Bibliográficos
Autores principales: Godoi, Alexandre B., do Canto, Amanda M., Donatti, Amanda, Rosa, Douglas C., Bruno, Danielle C. F., Alvim, Marina K., Yasuda, Clarissa L., Martins, Lucas G., Quintero, Melissa, Tasic, Ljubica, Cendes, Fernando, Lopes-Cendes, Iscia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148034/
https://www.ncbi.nlm.nih.gov/pubmed/35629950
http://dx.doi.org/10.3390/metabo12050446
_version_ 1784716953539051520
author Godoi, Alexandre B.
do Canto, Amanda M.
Donatti, Amanda
Rosa, Douglas C.
Bruno, Danielle C. F.
Alvim, Marina K.
Yasuda, Clarissa L.
Martins, Lucas G.
Quintero, Melissa
Tasic, Ljubica
Cendes, Fernando
Lopes-Cendes, Iscia
author_facet Godoi, Alexandre B.
do Canto, Amanda M.
Donatti, Amanda
Rosa, Douglas C.
Bruno, Danielle C. F.
Alvim, Marina K.
Yasuda, Clarissa L.
Martins, Lucas G.
Quintero, Melissa
Tasic, Ljubica
Cendes, Fernando
Lopes-Cendes, Iscia
author_sort Godoi, Alexandre B.
collection PubMed
description A major challenge in the clinical management of patients with mesial temporal lobe epilepsy (MTLE) is identifying those who do not respond to antiseizure medication (ASM), allowing for the timely pursuit of alternative treatments such as epilepsy surgery. Here, we investigated changes in plasma metabolites as biomarkers of disease in patients with MTLE. Furthermore, we used the metabolomics data to gain insights into the mechanisms underlying MTLE and response to ASM. We performed an untargeted metabolomic method using magnetic resonance spectroscopy and multi- and univariate statistical analyses to compare data obtained from plasma samples of 28 patients with MTLE compared to 28 controls. The patients were further divided according to response to ASM for a supplementary and preliminary comparison: 20 patients were refractory to treatment, and eight were responsive to ASM. We only included patients using carbamazepine in combination with clobazam. We analyzed the group of patients and controls and found that the profiles of glucose (p = 0.01), saturated lipids (p = 0.0002), isoleucine (p = 0.0001), β-hydroxybutyrate (p = 0.0003), and proline (p = 0.02) were different in patients compared to controls (p < 0.05). In addition, we found some suggestive metabolites (without enough predictability) by multivariate analysis (VIP scores > 2), such as lipoproteins, lactate, glucose, unsaturated lipids, isoleucine, and proline, that might be relevant to the process of pharmacoresistance in the comparison between patients with refractory and responsive MTLE. The identified metabolites for the comparison between MTLE patients and controls were linked to different biological pathways related to cell-energy metabolism and pathways related to inflammatory processes and the modulation of neurotransmitter release and activity in MTLE. In conclusion, in addition to insights into the mechanisms underlying MTLE, our results suggest that plasma metabolites may be used as disease biomarkers. These findings warrant further studies exploring the clinical use of metabolites to assist in decision-making when treating patients with MTLE.
format Online
Article
Text
id pubmed-9148034
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91480342022-05-29 Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy Godoi, Alexandre B. do Canto, Amanda M. Donatti, Amanda Rosa, Douglas C. Bruno, Danielle C. F. Alvim, Marina K. Yasuda, Clarissa L. Martins, Lucas G. Quintero, Melissa Tasic, Ljubica Cendes, Fernando Lopes-Cendes, Iscia Metabolites Article A major challenge in the clinical management of patients with mesial temporal lobe epilepsy (MTLE) is identifying those who do not respond to antiseizure medication (ASM), allowing for the timely pursuit of alternative treatments such as epilepsy surgery. Here, we investigated changes in plasma metabolites as biomarkers of disease in patients with MTLE. Furthermore, we used the metabolomics data to gain insights into the mechanisms underlying MTLE and response to ASM. We performed an untargeted metabolomic method using magnetic resonance spectroscopy and multi- and univariate statistical analyses to compare data obtained from plasma samples of 28 patients with MTLE compared to 28 controls. The patients were further divided according to response to ASM for a supplementary and preliminary comparison: 20 patients were refractory to treatment, and eight were responsive to ASM. We only included patients using carbamazepine in combination with clobazam. We analyzed the group of patients and controls and found that the profiles of glucose (p = 0.01), saturated lipids (p = 0.0002), isoleucine (p = 0.0001), β-hydroxybutyrate (p = 0.0003), and proline (p = 0.02) were different in patients compared to controls (p < 0.05). In addition, we found some suggestive metabolites (without enough predictability) by multivariate analysis (VIP scores > 2), such as lipoproteins, lactate, glucose, unsaturated lipids, isoleucine, and proline, that might be relevant to the process of pharmacoresistance in the comparison between patients with refractory and responsive MTLE. The identified metabolites for the comparison between MTLE patients and controls were linked to different biological pathways related to cell-energy metabolism and pathways related to inflammatory processes and the modulation of neurotransmitter release and activity in MTLE. In conclusion, in addition to insights into the mechanisms underlying MTLE, our results suggest that plasma metabolites may be used as disease biomarkers. These findings warrant further studies exploring the clinical use of metabolites to assist in decision-making when treating patients with MTLE. MDPI 2022-05-17 /pmc/articles/PMC9148034/ /pubmed/35629950 http://dx.doi.org/10.3390/metabo12050446 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Godoi, Alexandre B.
do Canto, Amanda M.
Donatti, Amanda
Rosa, Douglas C.
Bruno, Danielle C. F.
Alvim, Marina K.
Yasuda, Clarissa L.
Martins, Lucas G.
Quintero, Melissa
Tasic, Ljubica
Cendes, Fernando
Lopes-Cendes, Iscia
Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy
title Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy
title_full Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy
title_fullStr Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy
title_full_unstemmed Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy
title_short Circulating Metabolites as Biomarkers of Disease in Patients with Mesial Temporal Lobe Epilepsy
title_sort circulating metabolites as biomarkers of disease in patients with mesial temporal lobe epilepsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148034/
https://www.ncbi.nlm.nih.gov/pubmed/35629950
http://dx.doi.org/10.3390/metabo12050446
work_keys_str_mv AT godoialexandreb circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT docantoamandam circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT donattiamanda circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT rosadouglasc circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT brunodaniellecf circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT alvimmarinak circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT yasudaclarissal circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT martinslucasg circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT quinteromelissa circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT tasicljubica circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT cendesfernando circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy
AT lopescendesiscia circulatingmetabolitesasbiomarkersofdiseaseinpatientswithmesialtemporallobeepilepsy