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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6393674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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