Evidence map›Paper›PMID 28441964›Full record

ArticleMicrobiome2017

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

Dorottya Nagy-Szakal, Brent L Williams, Nischay Mishra, Xiaoyu Che, Bohyun Lee, Lucinda Bateman, Nancy G Klimas, Anthony L Komaroff, Susan Levine, Jose G Montoya and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03612193 (Role of the Gut Microbiome in Complex Regional Pain Syndrome), which is not on this map. Cited by 137 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 4 pooled it
12.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03612193 recruitingnot on this mapstarted 2018, after this paper: background citation

Role of the Gut Microbiome in Complex Regional Pain Syndrome

TypeobservationalSponsorWashington University School of MedicineRan2018 to 2027Enrolled140ConditionsComplex Regional Pain Syndromes
3 · Its place in the literature

Who cites it

137 citing papers in PubMed, 4 syntheses or guidelines pooled it, 245 citations in OpenAlex.

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77 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 1 country.

Dorottya Nagy-SzakalCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
Brent L WilliamsCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
Nischay MishraCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
Xiaoyu CheCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
Bohyun LeeCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
Lucinda BatemanFatigue Consultation Clinic, Salt Lake City, UT, 84102, USA.
Nancy G KlimasInstitute for Neuro-Immune Medicine, College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, 33314, USA.
Anthony L KomaroffBrigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Susan LevineLevine Clinic, New York, NY, 10021, USA.
Jose G MontoyaStanford University, Palo Alto, CA, 94305, USA.
Daniel L PetersonSierra Internal Medicine at Incline Village, Incline Village, NV, 89451, USA.
Devi RamananAyasdi, Inc., Menlo Park, CA, 94025, USA.
Komal JainCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
Meredith L EddyCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
Mady HornigCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.
W Ian LipkinCenter for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA. wil2001@cumc.columbia.edu.ORCID 0000-0002-8768-9386
Columbia University · USAyasdi (United States) · USBrigham and Women's Hospital · USColumbia University Irving Medical Center · USNova Southeastern University · USPalo Alto University · USSierra Nevada College · US

Funding

Translational CoreU19AI109761 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2014 to 2018
$32.6M
NIAID NIH HHS U19 AI109761
6 · The paper itself

Abstract

backgroundMyalgic 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.

resultsTopological 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.

conclusionsIndependent 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.

Indexed as

AdultAgedBacteriaBody Mass IndexCytokinesFatigue Syndrome, ChronicFecesFemaleHumansMaleMetabolic Networks and PathwaysMetagenomicsMiddle AgedPhylogenyYoung AdultCytokinesChronic fatigue syndromeIrritable bowel syndromeMetabolic pathwayMetagenomicMicrobiota-gut-brain axisMyalgic encephalomyelitisTopological data analysis

Identifiers

PMID28441964
PMCPMC5405467
OpenAlexW2606042790

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.