Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783231770127237120 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5405467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT nagyszakaldorottya fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT williamsbrentl fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT mishranischay fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT chexiaoyu fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT leebohyun fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT batemanlucinda fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT klimasnancyg fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT komaroffanthonyl fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT levinesusan fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT montoyajoseg fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT petersondaniell fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT ramanandevi fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT jainkomal fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT eddymeredithl fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT hornigmady fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome AT lipkinwian fecalmetagenomicprofilesinsubgroupsofpatientswithmyalgicencephalomyelitischronicfatiguesyndrome |