Evidence map›Paper›PMID 27102666›Full record

ArticleGenome medicine2016

An expansion of rare lineage intestinal microbes characterizes rheumatoid arthritis.

Jun Chen, Kerry Wright, John M Davis, Patricio Jeraldo, Eric V Marietta, Joseph Murray, Heidi Nelson, Eric L Matteson, Veena Taneja

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 528 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
528citing papers in PubMed, 5 pooled it
42.9field-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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

528 citing papers in PubMed, 5 syntheses or guidelines pooled it, 832 citations in OpenAlex.

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468 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

9 authors at 1 institution in 1 country.

Jun ChenDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
Kerry WrightDepartment of Medicine, Division of Rheumatology, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
John M DavisDepartment of Medicine, Division of Rheumatology, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
Patricio JeraldoDepartment of Surgery, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
Eric V MariettaDepartment of Gastroenterology, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
Joseph MurrayDepartment of Gastroenterology, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
Heidi NelsonDepartment of Surgery, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
Eric L MattesonDepartment of Medicine, Division of Rheumatology, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA.
Veena TanejaDepartment of Immunology and Division of Rheumatology, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55905, USA. taneja.veena@mayo.edu.
Mayo Clinic · US

Funding

TECHNOLOGY NMR SPECTROSCOPYU24DK100469 · NIDDK · MAYO CLINIC ROCHESTER · PI NAIR, K SREEKUMARAN · 2013 to 2017
$9.0M
IMMUNOGENETICS OF COLLAGEN-INDUCED ARTHRITIS IN MICER01AR030752 · NIAMS · MAYO CLINIC ROCHESTER · PI DAVID, CHELLA S, TANEJA, VEENA · 1987 to 2014
$4.3M
Immunogenetics of Collagen Induced Arthritis in MiceR56AR030752 · NIAMS · MAYO CLINIC ROCHESTER · PI DAVID, CHELLA S, TANEJA, VEENA · 2009 to 2009
$325k
NIAMS NIH HHS AR30752NIAMS NIH HHS R01 AR030752NIAMS NIH HHS R56 AR030752NIDDK NIH HHS U24 DK100469
6 · The paper itself

Abstract

backgroundThe adaptive immune response in rheumatoid arthritis (RA) is influenced by an interaction between host genetics and environment, particularly the host microbiome. Association of the gut microbiota with various diseases has been reported, though the specific components of the microbiota that affect the host response leading to disease remain unknown. However, there is limited information on the role of gut microbiota in RA. In this study we aimed to define a microbial and metabolite profile that could predict disease status. In addition, we aimed to generate a humanized model of arthritis to confirm the RA-associated microbe.

methodsTo identify an RA biomarker profile, the 16S ribosomal DNA of fecal samples from RA patients, first-degree relatives (to rule out environment/background as confounding factors), and random healthy non-RA controls were sequenced. Analysis of metabolites and their association with specific taxa was performed to investigate a potential mechanistic link. The role of an RA-associated microbe was confirmed using a human epithelial cell line and a humanized mouse model of arthritis.

resultsPatients with RA exhibited decreased gut microbial diversity compared with controls, which correlated with disease duration and autoantibody levels. A taxon-level analysis suggested an expansion of rare taxa, Actinobacteria, with a decrease in abundant taxa in patients with RA compared with controls. Prediction models based on the random forests algorithm suggested that three genera, Collinsella, Eggerthella, and Faecalibacterium, segregated with RA. The abundance of Collinsella correlated strongly with high levels of alpha-aminoadipic acid and asparagine as well as production of the proinflammatory cytokine IL-17A. A role for Collinsella in altering gut permeability and disease severity was confirmed in experimental arthritis.

conclusionsThese observations suggest dysbiosis in RA patients resulting from the abundance of certain rare bacterial lineages. A correlation between the intestinal microbiota and metabolic signatures could determine a predictive profile for disease causation and progression.

Indexed as

Gastrointestinal MicrobiomeAdultAgedAnimalsArthritis, RheumatoidBiodiversityCase-Control StudiesCell LineChemokinesComputational BiologyCytokinesDisease Models, AnimalFecesFemaleHumansIntestinal MucosaChemokinesCytokinesRNA, Ribosomal, 16S

Identifiers

PMID27102666
PMCPMC4840970
OpenAlexW2336817596

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.