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Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis
Introduction: Multiple sclerosis (MS) is a chronic disorder of the central nervous system with an untreatable late progressive phase. Molecular maps of different stages of brain lesion evolution in patients with progressive multiple sclerosis (PMS) are missing but critical for understanding disease...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500075/ https://www.ncbi.nlm.nih.gov/pubmed/32954379 http://dx.doi.org/10.1089/nsm.2020.0006 |
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author | Frisch, Tobias Elkjaer, Maria L. Reynolds, Richard Michel, Tanja Maria Kacprowski, Tim Burton, Mark Kruse, Torben A. Thomassen, Mads Baumbach, Jan Illes, Zsolt |
author_facet | Frisch, Tobias Elkjaer, Maria L. Reynolds, Richard Michel, Tanja Maria Kacprowski, Tim Burton, Mark Kruse, Torben A. Thomassen, Mads Baumbach, Jan Illes, Zsolt |
author_sort | Frisch, Tobias |
collection | PubMed |
description | Introduction: Multiple sclerosis (MS) is a chronic disorder of the central nervous system with an untreatable late progressive phase. Molecular maps of different stages of brain lesion evolution in patients with progressive multiple sclerosis (PMS) are missing but critical for understanding disease development and to identify novel targets to halt progression. Materials and Methods: The MS Atlas database comprises comprehensive high-quality transcriptomic profiles of 98 white matter (WM) brain samples of different lesion types (normal-appearing WM [NAWM], active, chronic active, inactive, remyelinating) from ten progressive MS patients and 25 WM areas from five non-neurological diseased cases. Results: We introduce the first MS brain lesion atlas (msatlas.dk), developed to address the current challenges of understanding mechanisms driving the fate on a lesion basis. The MS Atlas gives means for testing research hypotheses, validating biomarkers and drug targets. It comes with a user-friendly web interface, and it fosters bioinformatic methods for de novo network enrichment to extract mechanistic markers for specific lesion types and pathway-based lesion type comparison. We describe examples of how the MS Atlas can be used to extract systems medicine signatures and demonstrate the interface of MS Atlas. Conclusion: This compendium of mechanistic PMS WM lesion profiles is an invaluable resource to fuel future MS research and a new basis for treatment development. |
format | Online Article Text |
id | pubmed-7500075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-75000752020-09-18 Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis Frisch, Tobias Elkjaer, Maria L. Reynolds, Richard Michel, Tanja Maria Kacprowski, Tim Burton, Mark Kruse, Torben A. Thomassen, Mads Baumbach, Jan Illes, Zsolt Netw Syst Med Original Research Introduction: Multiple sclerosis (MS) is a chronic disorder of the central nervous system with an untreatable late progressive phase. Molecular maps of different stages of brain lesion evolution in patients with progressive multiple sclerosis (PMS) are missing but critical for understanding disease development and to identify novel targets to halt progression. Materials and Methods: The MS Atlas database comprises comprehensive high-quality transcriptomic profiles of 98 white matter (WM) brain samples of different lesion types (normal-appearing WM [NAWM], active, chronic active, inactive, remyelinating) from ten progressive MS patients and 25 WM areas from five non-neurological diseased cases. Results: We introduce the first MS brain lesion atlas (msatlas.dk), developed to address the current challenges of understanding mechanisms driving the fate on a lesion basis. The MS Atlas gives means for testing research hypotheses, validating biomarkers and drug targets. It comes with a user-friendly web interface, and it fosters bioinformatic methods for de novo network enrichment to extract mechanistic markers for specific lesion types and pathway-based lesion type comparison. We describe examples of how the MS Atlas can be used to extract systems medicine signatures and demonstrate the interface of MS Atlas. Conclusion: This compendium of mechanistic PMS WM lesion profiles is an invaluable resource to fuel future MS research and a new basis for treatment development. Mary Ann Liebert, Inc., publishers 2020-08-27 /pmc/articles/PMC7500075/ /pubmed/32954379 http://dx.doi.org/10.1089/nsm.2020.0006 Text en © Tobias Frisch et al., 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Frisch, Tobias Elkjaer, Maria L. Reynolds, Richard Michel, Tanja Maria Kacprowski, Tim Burton, Mark Kruse, Torben A. Thomassen, Mads Baumbach, Jan Illes, Zsolt Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis |
title | Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis |
title_full | Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis |
title_fullStr | Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis |
title_full_unstemmed | Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis |
title_short | Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis |
title_sort | multiple sclerosis atlas: a molecular map of brain lesion stages in progressive multiple sclerosis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500075/ https://www.ncbi.nlm.nih.gov/pubmed/32954379 http://dx.doi.org/10.1089/nsm.2020.0006 |
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