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Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics
The pathogenesis of ME/CFS, a disease characterized by fatigue, cognitive dysfunction, sleep disturbances, orthostatic intolerance, fever, irritable bowel syndrome (IBS), and lymphadenopathy, is poorly understood. We report biomarker discovery and topological analysis of plasma metabolomic, fecal ba...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030047/ https://www.ncbi.nlm.nih.gov/pubmed/29968805 http://dx.doi.org/10.1038/s41598-018-28477-9 |
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author | Nagy-Szakal, Dorottya Barupal, Dinesh K. Lee, Bohyun Che, Xiaoyu Williams, Brent L. Kahn, Ellie J. R. Ukaigwe, Joy E. Bateman, Lucinda Klimas, Nancy G. Komaroff, Anthony L. Levine, Susan Montoya, Jose G. Peterson, Daniel L. Levin, Bruce Hornig, Mady Fiehn, Oliver Lipkin, W. Ian |
author_facet | Nagy-Szakal, Dorottya Barupal, Dinesh K. Lee, Bohyun Che, Xiaoyu Williams, Brent L. Kahn, Ellie J. R. Ukaigwe, Joy E. Bateman, Lucinda Klimas, Nancy G. Komaroff, Anthony L. Levine, Susan Montoya, Jose G. Peterson, Daniel L. Levin, Bruce Hornig, Mady Fiehn, Oliver Lipkin, W. Ian |
author_sort | Nagy-Szakal, Dorottya |
collection | PubMed |
description | The pathogenesis of ME/CFS, a disease characterized by fatigue, cognitive dysfunction, sleep disturbances, orthostatic intolerance, fever, irritable bowel syndrome (IBS), and lymphadenopathy, is poorly understood. We report biomarker discovery and topological analysis of plasma metabolomic, fecal bacterial metagenomic, and clinical data from 50 ME/CFS patients and 50 healthy controls. We confirm reports of altered plasma levels of choline, carnitine and complex lipid metabolites and demonstrate that patients with ME/CFS and IBS have increased plasma levels of ceramide. Integration of fecal metagenomic and plasma metabolomic data resulted in a stronger predictive model of ME/CFS (cross-validated AUC = 0.836) than either metagenomic (cross-validated AUC = 0.745) or metabolomic (cross-validated AUC = 0.820) analysis alone. Our findings may provide insights into the pathogenesis of ME/CFS and its subtypes and suggest pathways for the development of diagnostic and therapeutic strategies. |
format | Online Article Text |
id | pubmed-6030047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60300472018-07-11 Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics Nagy-Szakal, Dorottya Barupal, Dinesh K. Lee, Bohyun Che, Xiaoyu Williams, Brent L. Kahn, Ellie J. R. Ukaigwe, Joy E. Bateman, Lucinda Klimas, Nancy G. Komaroff, Anthony L. Levine, Susan Montoya, Jose G. Peterson, Daniel L. Levin, Bruce Hornig, Mady Fiehn, Oliver Lipkin, W. Ian Sci Rep Article The pathogenesis of ME/CFS, a disease characterized by fatigue, cognitive dysfunction, sleep disturbances, orthostatic intolerance, fever, irritable bowel syndrome (IBS), and lymphadenopathy, is poorly understood. We report biomarker discovery and topological analysis of plasma metabolomic, fecal bacterial metagenomic, and clinical data from 50 ME/CFS patients and 50 healthy controls. We confirm reports of altered plasma levels of choline, carnitine and complex lipid metabolites and demonstrate that patients with ME/CFS and IBS have increased plasma levels of ceramide. Integration of fecal metagenomic and plasma metabolomic data resulted in a stronger predictive model of ME/CFS (cross-validated AUC = 0.836) than either metagenomic (cross-validated AUC = 0.745) or metabolomic (cross-validated AUC = 0.820) analysis alone. Our findings may provide insights into the pathogenesis of ME/CFS and its subtypes and suggest pathways for the development of diagnostic and therapeutic strategies. Nature Publishing Group UK 2018-07-03 /pmc/articles/PMC6030047/ /pubmed/29968805 http://dx.doi.org/10.1038/s41598-018-28477-9 Text en © The Author(s) 2018 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 Nagy-Szakal, Dorottya Barupal, Dinesh K. Lee, Bohyun Che, Xiaoyu Williams, Brent L. Kahn, Ellie J. R. Ukaigwe, Joy E. Bateman, Lucinda Klimas, Nancy G. Komaroff, Anthony L. Levine, Susan Montoya, Jose G. Peterson, Daniel L. Levin, Bruce Hornig, Mady Fiehn, Oliver Lipkin, W. Ian Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics |
title | Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics |
title_full | Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics |
title_fullStr | Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics |
title_full_unstemmed | Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics |
title_short | Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics |
title_sort | insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030047/ https://www.ncbi.nlm.nih.gov/pubmed/29968805 http://dx.doi.org/10.1038/s41598-018-28477-9 |
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