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Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis
Multiple sclerosis (MS) is an autoimmune disease affecting the central nervous system associated with chronic inflammation, demyelination, and axonal damage. MS is a highly heterogeneous disease that leads to discrepancies regarding the clinical appearance, progression, and therapy response of patie...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695566/ https://www.ncbi.nlm.nih.gov/pubmed/36430480 http://dx.doi.org/10.3390/ijms232214000 |
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author | Birmpili, Dafni Charmarke Askar, Imane Pham-Van, Lucas Dinh Kuntzel, Thomas Spenlé, Caroline Riou, Aurélien Bagnard, Dominique |
author_facet | Birmpili, Dafni Charmarke Askar, Imane Pham-Van, Lucas Dinh Kuntzel, Thomas Spenlé, Caroline Riou, Aurélien Bagnard, Dominique |
author_sort | Birmpili, Dafni |
collection | PubMed |
description | Multiple sclerosis (MS) is an autoimmune disease affecting the central nervous system associated with chronic inflammation, demyelination, and axonal damage. MS is a highly heterogeneous disease that leads to discrepancies regarding the clinical appearance, progression, and therapy response of patients. Therefore, there is a strong unmet need for clinically relevant biomarkers capable of recapitulating the features of the disease. Experimental autoimmune encephalomyelitis (EAE) is a valuable model for studying the pathophysiology of MS as it recapitulates the main hallmarks of the disease: inflammation, blood-brain barrier (BBB) disruption, gliosis, myelin damage, and repair mechanisms. In this study, we used the EAE-PLP animal model and established a molecular RNA signature for each phase of the disease (onset, peak, remission). We compared variances of expression of known biomarkers by RT-qPCR in the brain and spinal cord of sham and EAE animals monitoring each of the five hallmarks of the disease. Using magnetic cell isolation technology, we isolated microglia and oligodendrocytes of mice of each category, and we compared the RNA expression variations. We identify genes deregulated during a restricted time frame, and we provide insight into the timing and interrelationships of pathological disease processes at the organ and cell levels. |
format | Online Article Text |
id | pubmed-9695566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96955662022-11-26 Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis Birmpili, Dafni Charmarke Askar, Imane Pham-Van, Lucas Dinh Kuntzel, Thomas Spenlé, Caroline Riou, Aurélien Bagnard, Dominique Int J Mol Sci Article Multiple sclerosis (MS) is an autoimmune disease affecting the central nervous system associated with chronic inflammation, demyelination, and axonal damage. MS is a highly heterogeneous disease that leads to discrepancies regarding the clinical appearance, progression, and therapy response of patients. Therefore, there is a strong unmet need for clinically relevant biomarkers capable of recapitulating the features of the disease. Experimental autoimmune encephalomyelitis (EAE) is a valuable model for studying the pathophysiology of MS as it recapitulates the main hallmarks of the disease: inflammation, blood-brain barrier (BBB) disruption, gliosis, myelin damage, and repair mechanisms. In this study, we used the EAE-PLP animal model and established a molecular RNA signature for each phase of the disease (onset, peak, remission). We compared variances of expression of known biomarkers by RT-qPCR in the brain and spinal cord of sham and EAE animals monitoring each of the five hallmarks of the disease. Using magnetic cell isolation technology, we isolated microglia and oligodendrocytes of mice of each category, and we compared the RNA expression variations. We identify genes deregulated during a restricted time frame, and we provide insight into the timing and interrelationships of pathological disease processes at the organ and cell levels. MDPI 2022-11-13 /pmc/articles/PMC9695566/ /pubmed/36430480 http://dx.doi.org/10.3390/ijms232214000 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 Birmpili, Dafni Charmarke Askar, Imane Pham-Van, Lucas Dinh Kuntzel, Thomas Spenlé, Caroline Riou, Aurélien Bagnard, Dominique Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis |
title | Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis |
title_full | Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis |
title_fullStr | Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis |
title_full_unstemmed | Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis |
title_short | Toward a Combination of Biomarkers for Molecular Characterization of Multiple Sclerosis |
title_sort | toward a combination of biomarkers for molecular characterization of multiple sclerosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695566/ https://www.ncbi.nlm.nih.gov/pubmed/36430480 http://dx.doi.org/10.3390/ijms232214000 |
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