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Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is characterized by unexplained persistent fatigue, commonly accompanied by cognitive dysfunction, sleeping disturbances, orthostatic intolerance, fever, lymphadenopathy, and irritable bowel syndrome (IBS). The extent to which t...

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Autores principales: Nagy-Szakal, Dorottya, Williams, Brent L., Mishra, Nischay, Che, Xiaoyu, Lee, Bohyun, Bateman, Lucinda, Klimas, Nancy G., Komaroff, Anthony L., Levine, Susan, Montoya, Jose G., Peterson, Daniel L., Ramanan, Devi, Jain, Komal, Eddy, Meredith L., Hornig, Mady, Lipkin, W. Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405467/
https://www.ncbi.nlm.nih.gov/pubmed/28441964
http://dx.doi.org/10.1186/s40168-017-0261-y
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author Nagy-Szakal, Dorottya
Williams, Brent L.
Mishra, Nischay
Che, Xiaoyu
Lee, Bohyun
Bateman, Lucinda
Klimas, Nancy G.
Komaroff, Anthony L.
Levine, Susan
Montoya, Jose G.
Peterson, Daniel L.
Ramanan, Devi
Jain, Komal
Eddy, Meredith L.
Hornig, Mady
Lipkin, W. Ian
author_facet Nagy-Szakal, Dorottya
Williams, Brent L.
Mishra, Nischay
Che, Xiaoyu
Lee, Bohyun
Bateman, Lucinda
Klimas, Nancy G.
Komaroff, Anthony L.
Levine, Susan
Montoya, Jose G.
Peterson, Daniel L.
Ramanan, Devi
Jain, Komal
Eddy, Meredith L.
Hornig, Mady
Lipkin, W. Ian
author_sort Nagy-Szakal, Dorottya
collection PubMed
description BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is characterized by unexplained persistent fatigue, commonly accompanied by cognitive dysfunction, sleeping disturbances, orthostatic intolerance, fever, lymphadenopathy, and irritable bowel syndrome (IBS). The extent to which the gastrointestinal microbiome and peripheral inflammation are associated with ME/CFS remains unclear. We pursued rigorous clinical characterization, fecal bacterial metagenomics, and plasma immune molecule analyses in 50 ME/CFS patients and 50 healthy controls frequency-matched for age, sex, race/ethnicity, geographic site, and season of sampling. RESULTS: Topological analysis revealed associations between IBS co-morbidity, body mass index, fecal bacterial composition, and bacterial metabolic pathways but not plasma immune molecules. IBS co-morbidity was the strongest driving factor in the separation of topological networks based on bacterial profiles and metabolic pathways. Predictive selection models based on bacterial profiles supported findings from topological analyses indicating that ME/CFS subgroups, defined by IBS status, could be distinguished from control subjects with high predictive accuracy. Bacterial taxa predictive of ME/CFS patients with IBS were distinct from taxa associated with ME/CFS patients without IBS. Increased abundance of unclassified Alistipes and decreased Faecalibacterium emerged as the top biomarkers of ME/CFS with IBS; while increased unclassified Bacteroides abundance and decreased Bacteroides vulgatus were the top biomarkers of ME/CFS without IBS. Despite findings of differences in bacterial taxa and metabolic pathways defining ME/CFS subgroups, decreased metabolic pathways associated with unsaturated fatty acid biosynthesis and increased atrazine degradation pathways were independent of IBS co-morbidity. Increased vitamin B6 biosynthesis/salvage and pyrimidine ribonucleoside degradation were the top metabolic pathways in ME/CFS without IBS as well as in the total ME/CFS cohort. In ME/CFS subgroups, symptom severity measures including pain, fatigue, and reduced motivation were correlated with the abundance of distinct bacterial taxa and metabolic pathways. CONCLUSIONS: Independent of IBS, ME/CFS is associated with dysbiosis and distinct bacterial metabolic disturbances that may influence disease severity. However, our findings indicate that dysbiotic features that are uniquely ME/CFS-associated may be masked by disturbances arising from the high prevalence of IBS co-morbidity in ME/CFS. These insights may enable more accurate diagnosis and lead to insights that inform the development of specific therapeutic strategies in ME/CFS subgroups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-017-0261-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-54054672017-04-27 Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome Nagy-Szakal, Dorottya Williams, Brent L. Mishra, Nischay Che, Xiaoyu Lee, Bohyun Bateman, Lucinda Klimas, Nancy G. Komaroff, Anthony L. Levine, Susan Montoya, Jose G. Peterson, Daniel L. Ramanan, Devi Jain, Komal Eddy, Meredith L. Hornig, Mady Lipkin, W. Ian Microbiome Research BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is characterized by unexplained persistent fatigue, commonly accompanied by cognitive dysfunction, sleeping disturbances, orthostatic intolerance, fever, lymphadenopathy, and irritable bowel syndrome (IBS). The extent to which the gastrointestinal microbiome and peripheral inflammation are associated with ME/CFS remains unclear. We pursued rigorous clinical characterization, fecal bacterial metagenomics, and plasma immune molecule analyses in 50 ME/CFS patients and 50 healthy controls frequency-matched for age, sex, race/ethnicity, geographic site, and season of sampling. RESULTS: Topological analysis revealed associations between IBS co-morbidity, body mass index, fecal bacterial composition, and bacterial metabolic pathways but not plasma immune molecules. IBS co-morbidity was the strongest driving factor in the separation of topological networks based on bacterial profiles and metabolic pathways. Predictive selection models based on bacterial profiles supported findings from topological analyses indicating that ME/CFS subgroups, defined by IBS status, could be distinguished from control subjects with high predictive accuracy. Bacterial taxa predictive of ME/CFS patients with IBS were distinct from taxa associated with ME/CFS patients without IBS. Increased abundance of unclassified Alistipes and decreased Faecalibacterium emerged as the top biomarkers of ME/CFS with IBS; while increased unclassified Bacteroides abundance and decreased Bacteroides vulgatus were the top biomarkers of ME/CFS without IBS. Despite findings of differences in bacterial taxa and metabolic pathways defining ME/CFS subgroups, decreased metabolic pathways associated with unsaturated fatty acid biosynthesis and increased atrazine degradation pathways were independent of IBS co-morbidity. Increased vitamin B6 biosynthesis/salvage and pyrimidine ribonucleoside degradation were the top metabolic pathways in ME/CFS without IBS as well as in the total ME/CFS cohort. In ME/CFS subgroups, symptom severity measures including pain, fatigue, and reduced motivation were correlated with the abundance of distinct bacterial taxa and metabolic pathways. CONCLUSIONS: Independent of IBS, ME/CFS is associated with dysbiosis and distinct bacterial metabolic disturbances that may influence disease severity. However, our findings indicate that dysbiotic features that are uniquely ME/CFS-associated may be masked by disturbances arising from the high prevalence of IBS co-morbidity in ME/CFS. These insights may enable more accurate diagnosis and lead to insights that inform the development of specific therapeutic strategies in ME/CFS subgroups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-017-0261-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-26 /pmc/articles/PMC5405467/ /pubmed/28441964 http://dx.doi.org/10.1186/s40168-017-0261-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Nagy-Szakal, Dorottya
Williams, Brent L.
Mishra, Nischay
Che, Xiaoyu
Lee, Bohyun
Bateman, Lucinda
Klimas, Nancy G.
Komaroff, Anthony L.
Levine, Susan
Montoya, Jose G.
Peterson, Daniel L.
Ramanan, Devi
Jain, Komal
Eddy, Meredith L.
Hornig, Mady
Lipkin, W. Ian
Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome
title Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome
title_full Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome
title_fullStr Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome
title_full_unstemmed Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome
title_short Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome
title_sort fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405467/
https://www.ncbi.nlm.nih.gov/pubmed/28441964
http://dx.doi.org/10.1186/s40168-017-0261-y
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