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A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis

Accurate patient stratification into prognostic categories and targeting Amyotrophic Lateral Sclerosis (ALS)-associated pathways may pave the way for promising trials. We evaluated blood-based prognostic indicators using an array of pathological markers. Plasma samples were collected as part of a la...

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Autores principales: Devos, David, Moreau, Caroline, Kyheng, Maeva, Garçon, Guillaume, Rolland, Anne Sophie, Blasco, Hélène, Gelé, Patrick, Timothée Lenglet, T., Veyrat-Durebex, C., Corcia, Philippe, Dutheil, Mary, Bede, Peter, Jeromin, Andreas, Oeckl, Patrick, Otto, Markus, Meninger, Vincent, Danel-Brunaud, Véronique, Devedjian, Jean-christophe, Duce, James A., Pradat, Pierre François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393674/
https://www.ncbi.nlm.nih.gov/pubmed/30814647
http://dx.doi.org/10.1038/s41598-019-39739-5
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author Devos, David
Moreau, Caroline
Kyheng, Maeva
Garçon, Guillaume
Rolland, Anne Sophie
Blasco, Hélène
Gelé, Patrick
Timothée Lenglet, T.
Veyrat-Durebex, C.
Corcia, Philippe
Dutheil, Mary
Bede, Peter
Jeromin, Andreas
Oeckl, Patrick
Otto, Markus
Meninger, Vincent
Danel-Brunaud, Véronique
Devedjian, Jean-christophe
Duce, James A.
Pradat, Pierre François
author_facet Devos, David
Moreau, Caroline
Kyheng, Maeva
Garçon, Guillaume
Rolland, Anne Sophie
Blasco, Hélène
Gelé, Patrick
Timothée Lenglet, T.
Veyrat-Durebex, C.
Corcia, Philippe
Dutheil, Mary
Bede, Peter
Jeromin, Andreas
Oeckl, Patrick
Otto, Markus
Meninger, Vincent
Danel-Brunaud, Véronique
Devedjian, Jean-christophe
Duce, James A.
Pradat, Pierre François
author_sort Devos, David
collection PubMed
description Accurate patient stratification into prognostic categories and targeting Amyotrophic Lateral Sclerosis (ALS)-associated pathways may pave the way for promising trials. We evaluated blood-based prognostic indicators using an array of pathological markers. Plasma samples were collected as part of a large, phase III clinical trial (Mitotarget/TRO19622) at months 1, 6, 12 and 18. The ALSFRS-r score was used as a proxy of disease progression to assess the predictive value of candidate biological indicators. First, established clinical predictors were evaluated in all 512 patients. Subsequently, pathologic markers, such as proxies of neuronal integrity (Neurofilament light chain and phosphorylated heavy chain), DNA oxidation (8-oxo-2′-desoxyguanosine), lipid peroxidation (4-hydroxy-2-nonenal, isoprostane), inflammation (interleukin-6) and iron status (ferritin, hepcidin, transferrin) were assessed in a subset of 109 patients that represented the whole cohort. Markers of neuronal integrity, DNA and lipid oxidation, as well as iron status at baseline are accurate predictors of disability at 18-month follow-up. The composite scores of these markers in association with established clinical predictors enable the accurate forecasting of functional decline. The identified four biomarkers are all closely associated with ‘ferroptosis’, a recently discovered form of programmed cell death with promising therapeutic targets. The predictive potential of these pathophysiology-based indicators may offer superior patient stratification for future trials, individualised patient care and resource allocation.
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spelling pubmed-63936742019-03-04 A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis Devos, David Moreau, Caroline Kyheng, Maeva Garçon, Guillaume Rolland, Anne Sophie Blasco, Hélène Gelé, Patrick Timothée Lenglet, T. Veyrat-Durebex, C. Corcia, Philippe Dutheil, Mary Bede, Peter Jeromin, Andreas Oeckl, Patrick Otto, Markus Meninger, Vincent Danel-Brunaud, Véronique Devedjian, Jean-christophe Duce, James A. Pradat, Pierre François Sci Rep Article Accurate patient stratification into prognostic categories and targeting Amyotrophic Lateral Sclerosis (ALS)-associated pathways may pave the way for promising trials. We evaluated blood-based prognostic indicators using an array of pathological markers. Plasma samples were collected as part of a large, phase III clinical trial (Mitotarget/TRO19622) at months 1, 6, 12 and 18. The ALSFRS-r score was used as a proxy of disease progression to assess the predictive value of candidate biological indicators. First, established clinical predictors were evaluated in all 512 patients. Subsequently, pathologic markers, such as proxies of neuronal integrity (Neurofilament light chain and phosphorylated heavy chain), DNA oxidation (8-oxo-2′-desoxyguanosine), lipid peroxidation (4-hydroxy-2-nonenal, isoprostane), inflammation (interleukin-6) and iron status (ferritin, hepcidin, transferrin) were assessed in a subset of 109 patients that represented the whole cohort. Markers of neuronal integrity, DNA and lipid oxidation, as well as iron status at baseline are accurate predictors of disability at 18-month follow-up. The composite scores of these markers in association with established clinical predictors enable the accurate forecasting of functional decline. The identified four biomarkers are all closely associated with ‘ferroptosis’, a recently discovered form of programmed cell death with promising therapeutic targets. The predictive potential of these pathophysiology-based indicators may offer superior patient stratification for future trials, individualised patient care and resource allocation. Nature Publishing Group UK 2019-02-27 /pmc/articles/PMC6393674/ /pubmed/30814647 http://dx.doi.org/10.1038/s41598-019-39739-5 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
Devos, David
Moreau, Caroline
Kyheng, Maeva
Garçon, Guillaume
Rolland, Anne Sophie
Blasco, Hélène
Gelé, Patrick
Timothée Lenglet, T.
Veyrat-Durebex, C.
Corcia, Philippe
Dutheil, Mary
Bede, Peter
Jeromin, Andreas
Oeckl, Patrick
Otto, Markus
Meninger, Vincent
Danel-Brunaud, Véronique
Devedjian, Jean-christophe
Duce, James A.
Pradat, Pierre François
A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis
title A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis
title_full A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis
title_fullStr A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis
title_full_unstemmed A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis
title_short A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis
title_sort ferroptosis–based panel of prognostic biomarkers for amyotrophic lateral sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393674/
https://www.ncbi.nlm.nih.gov/pubmed/30814647
http://dx.doi.org/10.1038/s41598-019-39739-5
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