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Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome
Guillain-Barre Syndrome (GBS) is an inflammatory disease of the peripheral nervous system. Given that plasma metabolic profiles in GBS patients have never been explored, plasma samples of 38 GBS patients, 22 multiple sclerosis (MS) patients, and 40 healthy controls were analyzed by using untargeted...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557802/ https://www.ncbi.nlm.nih.gov/pubmed/28811529 http://dx.doi.org/10.1038/s41598-017-08338-7 |
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author | Tang, Hsiang-Yu Chiu, Daniel Tsun-yee Lin, Jui-Fen Huang, Cheng-Yu Chang, Kuo-Hsuan Lyu, Rong-Kuo Ro, Long-Sun Kuo, Hung-Chou Cheng, Mei-Ling Chen, Chiung-Mei |
author_facet | Tang, Hsiang-Yu Chiu, Daniel Tsun-yee Lin, Jui-Fen Huang, Cheng-Yu Chang, Kuo-Hsuan Lyu, Rong-Kuo Ro, Long-Sun Kuo, Hung-Chou Cheng, Mei-Ling Chen, Chiung-Mei |
author_sort | Tang, Hsiang-Yu |
collection | PubMed |
description | Guillain-Barre Syndrome (GBS) is an inflammatory disease of the peripheral nervous system. Given that plasma metabolic profiles in GBS patients have never been explored, plasma samples of 38 GBS patients, 22 multiple sclerosis (MS) patients, and 40 healthy controls were analyzed by using untargeted and targeted metabolomics analysis. The untargeted analysis showed that levels of a set of plasma lipid metabolites were significantly decreased in GBS patients compared to the controls. Furthermore, the targeted analysis demonstrated that levels of 41 metabolites in GBS patients were significantly changed compared to either the controls or MS patients. A further metabolic analysis showed that 12 of 41 metabolites were significantly lower in classical GBS patients compared to Miller-Fisher syndrome. Among them, each of PCae C34:0, PCae C42:2, PCae C42:3, and SM C24:0 was inversely correlated with Hughes functional grading scale of GBS patients at both nadir and discharge. Receiver operating characteristic curve analysis of combination of three metabolites (PCaa C42:2, PCae C36:0 and SM C24:0) showed a good discrimination between the GBS and the controls (area under curve = 0.86). This study has demonstrated disruption of lipid metabolites in GBS may be potential biomarkers to indicate disease severity and prognosis of GBS. |
format | Online Article Text |
id | pubmed-5557802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55578022017-08-16 Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome Tang, Hsiang-Yu Chiu, Daniel Tsun-yee Lin, Jui-Fen Huang, Cheng-Yu Chang, Kuo-Hsuan Lyu, Rong-Kuo Ro, Long-Sun Kuo, Hung-Chou Cheng, Mei-Ling Chen, Chiung-Mei Sci Rep Article Guillain-Barre Syndrome (GBS) is an inflammatory disease of the peripheral nervous system. Given that plasma metabolic profiles in GBS patients have never been explored, plasma samples of 38 GBS patients, 22 multiple sclerosis (MS) patients, and 40 healthy controls were analyzed by using untargeted and targeted metabolomics analysis. The untargeted analysis showed that levels of a set of plasma lipid metabolites were significantly decreased in GBS patients compared to the controls. Furthermore, the targeted analysis demonstrated that levels of 41 metabolites in GBS patients were significantly changed compared to either the controls or MS patients. A further metabolic analysis showed that 12 of 41 metabolites were significantly lower in classical GBS patients compared to Miller-Fisher syndrome. Among them, each of PCae C34:0, PCae C42:2, PCae C42:3, and SM C24:0 was inversely correlated with Hughes functional grading scale of GBS patients at both nadir and discharge. Receiver operating characteristic curve analysis of combination of three metabolites (PCaa C42:2, PCae C36:0 and SM C24:0) showed a good discrimination between the GBS and the controls (area under curve = 0.86). This study has demonstrated disruption of lipid metabolites in GBS may be potential biomarkers to indicate disease severity and prognosis of GBS. Nature Publishing Group UK 2017-08-15 /pmc/articles/PMC5557802/ /pubmed/28811529 http://dx.doi.org/10.1038/s41598-017-08338-7 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tang, Hsiang-Yu Chiu, Daniel Tsun-yee Lin, Jui-Fen Huang, Cheng-Yu Chang, Kuo-Hsuan Lyu, Rong-Kuo Ro, Long-Sun Kuo, Hung-Chou Cheng, Mei-Ling Chen, Chiung-Mei Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome |
title | Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome |
title_full | Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome |
title_fullStr | Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome |
title_full_unstemmed | Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome |
title_short | Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome |
title_sort | disturbance of plasma lipid metabolic profile in guillain-barre syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557802/ https://www.ncbi.nlm.nih.gov/pubmed/28811529 http://dx.doi.org/10.1038/s41598-017-08338-7 |
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