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Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS

Amyotrophic lateral sclerosis (ALS), the commonest adult-onset motor neuron disorder, is characterized by a survival span of only 2–5 years after onset. Relevant biomarkers or specific metabolic signatures would provide powerful tools for the management of ALS. The main objective of this study was t...

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Autores principales: Blasco, H., Veyrat-Durebex, C., Bocca, C., Patin, F., Vourc’h, P., Kouassi Nzoughet, J., Lenaers, G., Andres, C. R., Simard, G., Corcia, P., Reynier, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732162/
https://www.ncbi.nlm.nih.gov/pubmed/29247199
http://dx.doi.org/10.1038/s41598-017-17389-9
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author Blasco, H.
Veyrat-Durebex, C.
Bocca, C.
Patin, F.
Vourc’h, P.
Kouassi Nzoughet, J.
Lenaers, G.
Andres, C. R.
Simard, G.
Corcia, P.
Reynier, P.
author_facet Blasco, H.
Veyrat-Durebex, C.
Bocca, C.
Patin, F.
Vourc’h, P.
Kouassi Nzoughet, J.
Lenaers, G.
Andres, C. R.
Simard, G.
Corcia, P.
Reynier, P.
author_sort Blasco, H.
collection PubMed
description Amyotrophic lateral sclerosis (ALS), the commonest adult-onset motor neuron disorder, is characterized by a survival span of only 2–5 years after onset. Relevant biomarkers or specific metabolic signatures would provide powerful tools for the management of ALS. The main objective of this study was to investigate the cerebrospinal fluid (CSF) lipidomic signature of ALS patients by mass spectrometry to evaluate the diagnostic and predictive values of the profile. We showed that ALS patients (n = 40) displayed a highly significant specific CSF lipidomic signature compared to controls (n = 45). Phosphatidylcholine PC(36:4), higher in ALS patients (p = 0.0003) was the most discriminant molecule, and ceramides and glucosylceramides were also highly relevant. Analysis of targeted lipids in the brain cortex of ALS model mice confirmed the role of some discriminant lipids such as PC. We also obtained good models for predicting the variation of the ALSFRS-r score from the lipidome baseline, with an accuracy of 71% in an independent set of patients. Significant predictions of clinical evolution were found to be correlated to sphingomyelins and triglycerides with long-chain fatty acids. Our study, which shows extensive lipid remodelling in the CSF of ALS patients, provides a new metabolic signature of the disease and its evolution with good predictive performance.
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spelling pubmed-57321622017-12-21 Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS Blasco, H. Veyrat-Durebex, C. Bocca, C. Patin, F. Vourc’h, P. Kouassi Nzoughet, J. Lenaers, G. Andres, C. R. Simard, G. Corcia, P. Reynier, P. Sci Rep Article Amyotrophic lateral sclerosis (ALS), the commonest adult-onset motor neuron disorder, is characterized by a survival span of only 2–5 years after onset. Relevant biomarkers or specific metabolic signatures would provide powerful tools for the management of ALS. The main objective of this study was to investigate the cerebrospinal fluid (CSF) lipidomic signature of ALS patients by mass spectrometry to evaluate the diagnostic and predictive values of the profile. We showed that ALS patients (n = 40) displayed a highly significant specific CSF lipidomic signature compared to controls (n = 45). Phosphatidylcholine PC(36:4), higher in ALS patients (p = 0.0003) was the most discriminant molecule, and ceramides and glucosylceramides were also highly relevant. Analysis of targeted lipids in the brain cortex of ALS model mice confirmed the role of some discriminant lipids such as PC. We also obtained good models for predicting the variation of the ALSFRS-r score from the lipidome baseline, with an accuracy of 71% in an independent set of patients. Significant predictions of clinical evolution were found to be correlated to sphingomyelins and triglycerides with long-chain fatty acids. Our study, which shows extensive lipid remodelling in the CSF of ALS patients, provides a new metabolic signature of the disease and its evolution with good predictive performance. Nature Publishing Group UK 2017-12-15 /pmc/articles/PMC5732162/ /pubmed/29247199 http://dx.doi.org/10.1038/s41598-017-17389-9 Text en © The Author(s) 2017 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
Blasco, H.
Veyrat-Durebex, C.
Bocca, C.
Patin, F.
Vourc’h, P.
Kouassi Nzoughet, J.
Lenaers, G.
Andres, C. R.
Simard, G.
Corcia, P.
Reynier, P.
Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS
title Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS
title_full Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS
title_fullStr Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS
title_full_unstemmed Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS
title_short Lipidomics Reveals Cerebrospinal-Fluid Signatures of ALS
title_sort lipidomics reveals cerebrospinal-fluid signatures of als
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732162/
https://www.ncbi.nlm.nih.gov/pubmed/29247199
http://dx.doi.org/10.1038/s41598-017-17389-9
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