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Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment
Metabolomics-based technologies map in vivo biochemical changes that may be used as early indicators of pathological abnormalities prior to the development of clinical symptoms in neurological conditions. Metabolomics may also reveal biochemical pathways implicated in tissue dysfunction and damage a...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541167/ https://www.ncbi.nlm.nih.gov/pubmed/34681773 http://dx.doi.org/10.3390/ijms222011112 |
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author | Rispoli, Marianna Gabriella Valentinuzzi, Silvia De Luca, Giovanna Del Boccio, Piero Federici, Luca Di Ioia, Maria Digiovanni, Anna Grasso, Eleonora Agata Pozzilli, Valeria Villani, Alessandro Chiarelli, Antonio Maria Onofrj, Marco Wise, Richard G. Pieragostino, Damiana Tomassini, Valentina |
author_facet | Rispoli, Marianna Gabriella Valentinuzzi, Silvia De Luca, Giovanna Del Boccio, Piero Federici, Luca Di Ioia, Maria Digiovanni, Anna Grasso, Eleonora Agata Pozzilli, Valeria Villani, Alessandro Chiarelli, Antonio Maria Onofrj, Marco Wise, Richard G. Pieragostino, Damiana Tomassini, Valentina |
author_sort | Rispoli, Marianna Gabriella |
collection | PubMed |
description | Metabolomics-based technologies map in vivo biochemical changes that may be used as early indicators of pathological abnormalities prior to the development of clinical symptoms in neurological conditions. Metabolomics may also reveal biochemical pathways implicated in tissue dysfunction and damage and thus assist in the development of novel targeted therapeutics for neuroinflammation and neurodegeneration. Metabolomics holds promise as a non-invasive, high-throughput and cost-effective tool for early diagnosis, follow-up and monitoring of treatment response in multiple sclerosis (MS), in combination with clinical and imaging measures. In this review, we offer evidence in support of the potential of metabolomics as a biomarker and drug discovery tool in MS. We also use pathway analysis of metabolites that are described as potential biomarkers in the literature of MS biofluids to identify the most promising molecules and upstream regulators, and show novel, still unexplored metabolic pathways, whose investigation may open novel avenues of research. |
format | Online Article Text |
id | pubmed-8541167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85411672021-10-24 Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment Rispoli, Marianna Gabriella Valentinuzzi, Silvia De Luca, Giovanna Del Boccio, Piero Federici, Luca Di Ioia, Maria Digiovanni, Anna Grasso, Eleonora Agata Pozzilli, Valeria Villani, Alessandro Chiarelli, Antonio Maria Onofrj, Marco Wise, Richard G. Pieragostino, Damiana Tomassini, Valentina Int J Mol Sci Review Metabolomics-based technologies map in vivo biochemical changes that may be used as early indicators of pathological abnormalities prior to the development of clinical symptoms in neurological conditions. Metabolomics may also reveal biochemical pathways implicated in tissue dysfunction and damage and thus assist in the development of novel targeted therapeutics for neuroinflammation and neurodegeneration. Metabolomics holds promise as a non-invasive, high-throughput and cost-effective tool for early diagnosis, follow-up and monitoring of treatment response in multiple sclerosis (MS), in combination with clinical and imaging measures. In this review, we offer evidence in support of the potential of metabolomics as a biomarker and drug discovery tool in MS. We also use pathway analysis of metabolites that are described as potential biomarkers in the literature of MS biofluids to identify the most promising molecules and upstream regulators, and show novel, still unexplored metabolic pathways, whose investigation may open novel avenues of research. MDPI 2021-10-15 /pmc/articles/PMC8541167/ /pubmed/34681773 http://dx.doi.org/10.3390/ijms222011112 Text en © 2021 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 | Review Rispoli, Marianna Gabriella Valentinuzzi, Silvia De Luca, Giovanna Del Boccio, Piero Federici, Luca Di Ioia, Maria Digiovanni, Anna Grasso, Eleonora Agata Pozzilli, Valeria Villani, Alessandro Chiarelli, Antonio Maria Onofrj, Marco Wise, Richard G. Pieragostino, Damiana Tomassini, Valentina Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment |
title | Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment |
title_full | Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment |
title_fullStr | Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment |
title_full_unstemmed | Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment |
title_short | Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment |
title_sort | contribution of metabolomics to multiple sclerosis diagnosis, prognosis and treatment |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541167/ https://www.ncbi.nlm.nih.gov/pubmed/34681773 http://dx.doi.org/10.3390/ijms222011112 |
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