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Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review
BACKGROUND: Magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) analysis, and the McDonald’s clinical criteria are currently utilized tools in diagnosing multiple sclerosis. However, a more conclusive, consistent, and efficient way of diagnosing multiple sclerosis (MS) is yet to be discovere...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768024/ https://www.ncbi.nlm.nih.gov/pubmed/33381517 http://dx.doi.org/10.3389/fmolb.2020.574133 |
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author | Porter, Lachlan Shoushtarizadeh, Alireza Jelinek, George A. Brown, Chelsea R. Lim, Chai K. de Livera, Alysha M. Jacobs, Kelly R. Weiland, Tracey J. |
author_facet | Porter, Lachlan Shoushtarizadeh, Alireza Jelinek, George A. Brown, Chelsea R. Lim, Chai K. de Livera, Alysha M. Jacobs, Kelly R. Weiland, Tracey J. |
author_sort | Porter, Lachlan |
collection | PubMed |
description | BACKGROUND: Magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) analysis, and the McDonald’s clinical criteria are currently utilized tools in diagnosing multiple sclerosis. However, a more conclusive, consistent, and efficient way of diagnosing multiple sclerosis (MS) is yet to be discovered. A potential biomarker, discovered using advances in high-throughput sequencing such as nuclear magnetic resonance (NMR) spectroscopy and other “Omics”-based techniques, may make diagnosis and prognosis more reliable resulting in a more personalized and targeted treatment regime and improved outcomes. The aim of this review was to systematically search the literature for potential biomarkers from any bodily fluid that could consistently and accurately diagnose MS and/or indicate disease progression. METHODS: A systematic literature review of EMBASE, PubMed (MEDLINE), The Cochrane Library, and CINAHL databases produced over a thousand potential studies. Inclusion criteria stated studies with potential biomarker outcomes for people with MS were to be included in the review. Studies were limited to those with human participants who had a clinically defined diagnosis of MS and published in English, with no limit placed on date of publication or the type of bodily fluid sampled. RESULTS: A total of 1,805 studies were recorded from the literature search. A total of 1,760 studies were removed based on their abstract, with a further 18 removed after considering the full text. A total of 30 studies were considered relevant and had their data retrieved and analyzed. Due to the heterogeneity of focus and results from the refined studies, a narrative synthesis was favored. CONCLUSION: Several promising candidate biomarkers suitable for clinical application in MS have been studied. It is recommended follow-up studies with larger sample sizes be completed on several potential biomarkers. |
format | Online Article Text |
id | pubmed-7768024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77680242020-12-29 Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review Porter, Lachlan Shoushtarizadeh, Alireza Jelinek, George A. Brown, Chelsea R. Lim, Chai K. de Livera, Alysha M. Jacobs, Kelly R. Weiland, Tracey J. Front Mol Biosci Molecular Biosciences BACKGROUND: Magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) analysis, and the McDonald’s clinical criteria are currently utilized tools in diagnosing multiple sclerosis. However, a more conclusive, consistent, and efficient way of diagnosing multiple sclerosis (MS) is yet to be discovered. A potential biomarker, discovered using advances in high-throughput sequencing such as nuclear magnetic resonance (NMR) spectroscopy and other “Omics”-based techniques, may make diagnosis and prognosis more reliable resulting in a more personalized and targeted treatment regime and improved outcomes. The aim of this review was to systematically search the literature for potential biomarkers from any bodily fluid that could consistently and accurately diagnose MS and/or indicate disease progression. METHODS: A systematic literature review of EMBASE, PubMed (MEDLINE), The Cochrane Library, and CINAHL databases produced over a thousand potential studies. Inclusion criteria stated studies with potential biomarker outcomes for people with MS were to be included in the review. Studies were limited to those with human participants who had a clinically defined diagnosis of MS and published in English, with no limit placed on date of publication or the type of bodily fluid sampled. RESULTS: A total of 1,805 studies were recorded from the literature search. A total of 1,760 studies were removed based on their abstract, with a further 18 removed after considering the full text. A total of 30 studies were considered relevant and had their data retrieved and analyzed. Due to the heterogeneity of focus and results from the refined studies, a narrative synthesis was favored. CONCLUSION: Several promising candidate biomarkers suitable for clinical application in MS have been studied. It is recommended follow-up studies with larger sample sizes be completed on several potential biomarkers. Frontiers Media S.A. 2020-12-14 /pmc/articles/PMC7768024/ /pubmed/33381517 http://dx.doi.org/10.3389/fmolb.2020.574133 Text en Copyright © 2020 Porter, Shoushtarizadeh, Jelinek, Brown, Lim, de Livera, Jacobs and Weiland. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Porter, Lachlan Shoushtarizadeh, Alireza Jelinek, George A. Brown, Chelsea R. Lim, Chai K. de Livera, Alysha M. Jacobs, Kelly R. Weiland, Tracey J. Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review |
title | Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review |
title_full | Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review |
title_fullStr | Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review |
title_full_unstemmed | Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review |
title_short | Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review |
title_sort | metabolomic biomarkers of multiple sclerosis: a systematic review |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768024/ https://www.ncbi.nlm.nih.gov/pubmed/33381517 http://dx.doi.org/10.3389/fmolb.2020.574133 |
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