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An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the nervous system that primarily affects young adults. Although the exact etiology of the disease remains obscure, it is clear that alterations in the metabolome contribute to this process. As such, defining a reliable and disease-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038957/ https://www.ncbi.nlm.nih.gov/pubmed/33449145 http://dx.doi.org/10.1007/s00018-020-03733-2 |
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author | Zahoor, Insha Rui, Bin Khan, Junaid Datta, Indrani Giri, Shailendra |
author_facet | Zahoor, Insha Rui, Bin Khan, Junaid Datta, Indrani Giri, Shailendra |
author_sort | Zahoor, Insha |
collection | PubMed |
description | Multiple sclerosis (MS) is an inflammatory demyelinating disease of the nervous system that primarily affects young adults. Although the exact etiology of the disease remains obscure, it is clear that alterations in the metabolome contribute to this process. As such, defining a reliable and disease-specific metabolome has tremendous potential as a diagnostic and therapeutic strategy for MS. Here, we provide an overview of studies aimed at identifying the role of metabolomics in MS. These offer new insights into disease pathophysiology and the contributions of metabolic pathways to this process, identify unique markers indicative of treatment responses, and demonstrate the therapeutic effects of drug-like metabolites in cellular and animal models of MS. By and large, the commonly perturbed pathways in MS and its preclinical model include lipid metabolism involving alpha-linoleic acid pathway, nucleotide metabolism, amino acid metabolism, tricarboxylic acid cycle, d-ornithine and d-arginine pathways with collective role in signaling and energy supply. The metabolomics studies suggest that metabolic profiling of MS patient samples may uncover biomarkers that will advance our understanding of disease pathogenesis and progression, reduce delays and mistakes in diagnosis, monitor the course of disease, and detect better drug targets, all of which will improve early therapeutic interventions and improve evaluation of response to these treatments. |
format | Online Article Text |
id | pubmed-8038957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-80389572021-04-14 An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview Zahoor, Insha Rui, Bin Khan, Junaid Datta, Indrani Giri, Shailendra Cell Mol Life Sci Review Multiple sclerosis (MS) is an inflammatory demyelinating disease of the nervous system that primarily affects young adults. Although the exact etiology of the disease remains obscure, it is clear that alterations in the metabolome contribute to this process. As such, defining a reliable and disease-specific metabolome has tremendous potential as a diagnostic and therapeutic strategy for MS. Here, we provide an overview of studies aimed at identifying the role of metabolomics in MS. These offer new insights into disease pathophysiology and the contributions of metabolic pathways to this process, identify unique markers indicative of treatment responses, and demonstrate the therapeutic effects of drug-like metabolites in cellular and animal models of MS. By and large, the commonly perturbed pathways in MS and its preclinical model include lipid metabolism involving alpha-linoleic acid pathway, nucleotide metabolism, amino acid metabolism, tricarboxylic acid cycle, d-ornithine and d-arginine pathways with collective role in signaling and energy supply. The metabolomics studies suggest that metabolic profiling of MS patient samples may uncover biomarkers that will advance our understanding of disease pathogenesis and progression, reduce delays and mistakes in diagnosis, monitor the course of disease, and detect better drug targets, all of which will improve early therapeutic interventions and improve evaluation of response to these treatments. Springer International Publishing 2021-01-15 2021 /pmc/articles/PMC8038957/ /pubmed/33449145 http://dx.doi.org/10.1007/s00018-020-03733-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Zahoor, Insha Rui, Bin Khan, Junaid Datta, Indrani Giri, Shailendra An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview |
title | An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview |
title_full | An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview |
title_fullStr | An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview |
title_full_unstemmed | An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview |
title_short | An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview |
title_sort | emerging potential of metabolomics in multiple sclerosis: a comprehensive overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038957/ https://www.ncbi.nlm.nih.gov/pubmed/33449145 http://dx.doi.org/10.1007/s00018-020-03733-2 |
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