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Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression
Activation of the kynurenine pathway (KP) of tryptophan metabolism results from chronic inflammation and is known to exacerbate progression of neurodegenerative disease. To gain insights into the links between inflammation, the KP and multiple sclerosis (MS) pathogenesis, we investigated the KP meta...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290739/ https://www.ncbi.nlm.nih.gov/pubmed/28155867 http://dx.doi.org/10.1038/srep41473 |
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author | Lim, Chai K. Bilgin, Ayse Lovejoy, David B. Tan, Vanessa Bustamante, Sonia Taylor, Bruce V. Bessede, Alban Brew, Bruce J. Guillemin, Gilles J. |
author_facet | Lim, Chai K. Bilgin, Ayse Lovejoy, David B. Tan, Vanessa Bustamante, Sonia Taylor, Bruce V. Bessede, Alban Brew, Bruce J. Guillemin, Gilles J. |
author_sort | Lim, Chai K. |
collection | PubMed |
description | Activation of the kynurenine pathway (KP) of tryptophan metabolism results from chronic inflammation and is known to exacerbate progression of neurodegenerative disease. To gain insights into the links between inflammation, the KP and multiple sclerosis (MS) pathogenesis, we investigated the KP metabolomics profile of MS patients. Most significantly, we found aberrant levels of two key KP metabolites, kynurenic acid (KA) and quinolinic acid (QA). The balance between these metabolites is important as it determines overall excitotoxic activity at the N-methyl-D-Aspartate (NMDA) receptor. We also identified that serum KP metabolic signatures in patients can discriminate clinical MS subtypes with high sensitivity and specificity. A C5.0 Decision Tree classification model discriminated the clinical subtypes of MS with a sensitivity of 91%. After validation in another independent cohort, sensitivity was maintained at 85%. Collectively, our studies suggest that abnormalities in the KP may be associated with the switch from early-mild stage MS to debilitating progressive forms of MS and that analysis of KP metabolites in MS patient serum may have application as MS disease biomarkers. |
format | Online Article Text |
id | pubmed-5290739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52907392017-02-07 Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression Lim, Chai K. Bilgin, Ayse Lovejoy, David B. Tan, Vanessa Bustamante, Sonia Taylor, Bruce V. Bessede, Alban Brew, Bruce J. Guillemin, Gilles J. Sci Rep Article Activation of the kynurenine pathway (KP) of tryptophan metabolism results from chronic inflammation and is known to exacerbate progression of neurodegenerative disease. To gain insights into the links between inflammation, the KP and multiple sclerosis (MS) pathogenesis, we investigated the KP metabolomics profile of MS patients. Most significantly, we found aberrant levels of two key KP metabolites, kynurenic acid (KA) and quinolinic acid (QA). The balance between these metabolites is important as it determines overall excitotoxic activity at the N-methyl-D-Aspartate (NMDA) receptor. We also identified that serum KP metabolic signatures in patients can discriminate clinical MS subtypes with high sensitivity and specificity. A C5.0 Decision Tree classification model discriminated the clinical subtypes of MS with a sensitivity of 91%. After validation in another independent cohort, sensitivity was maintained at 85%. Collectively, our studies suggest that abnormalities in the KP may be associated with the switch from early-mild stage MS to debilitating progressive forms of MS and that analysis of KP metabolites in MS patient serum may have application as MS disease biomarkers. Nature Publishing Group 2017-02-03 /pmc/articles/PMC5290739/ /pubmed/28155867 http://dx.doi.org/10.1038/srep41473 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lim, Chai K. Bilgin, Ayse Lovejoy, David B. Tan, Vanessa Bustamante, Sonia Taylor, Bruce V. Bessede, Alban Brew, Bruce J. Guillemin, Gilles J. Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression |
title | Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression |
title_full | Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression |
title_fullStr | Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression |
title_full_unstemmed | Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression |
title_short | Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression |
title_sort | kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290739/ https://www.ncbi.nlm.nih.gov/pubmed/28155867 http://dx.doi.org/10.1038/srep41473 |
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