Dataset Information

An Increased Abundance of Clostridiaceae Characterizes Arthritis in Inflammatory Bowel Disease and Rheumatoid Arthritis: A Cross-sectional Study.

ABSTRACT: BACKGROUND:Inflammatory bowel diseases (IBDs) are a group of heterogeneous inflammatory conditions affecting the gastrointestinal tract. Although there is considerable evidence linking the gut microbiota to intestinal inflammation, there is limited knowledge on its potential role in the development of extraintestinal manifestations of IBD. METHODS:Four groups of patients were included: IBD-associated arthropathy (IBD-A); IBD without arthropathy (IBD-N); rheumatoid arthritis (RA); and non-IBD, nonarthritis controls. DNA from stool samples was isolated and sequenced using the Illumina platform. Paired-end reads were quality-controlled using SHI7 and processed with SHOGUN. Abundance and diversity analyses were performed using QIIME, and compositional biomarker identification was performed using LEfSe. RESULTS:One hundred eighty patients were included in the analysis. IBD-A was associated with an increased abundance of microbial tyrosine degradation pathways when compared with IBD-N (P = 0.02), whereas IBD-A and RA patients both shared an increased abundance of Clostridiaceae when compared with controls (P = 0.045). We found that history of bowel surgery was a significant source of variability (P = 0.001) among all IBD patients and was associated with decreased alpha diversity and increased abundance of Enterobacteriaceae (P = 0.004). CONCLUSIONS:An increased abundance of gut microbial tyrosine degradation pathways was associated with IBD-A. An increased abundance of Clostridiaceae was shared by both IBD-A and RA patients and suggests a potentially common microbial link for inflammatory arthritis. The increased abundance of Enterobacteriaceae, previously reported in IBD, may be due to the effects of previous bowel surgery and highlights the importance of controlling for this variable in future studies.

SUBMITTER: Muniz Pedrogo DA

PROVIDER: S-EPMC6458525 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

An Increased Abundance of Clostridiaceae Characterizes Arthritis in Inflammatory Bowel Disease and Rheumatoid Arthritis: A Cross-sectional Study.

Muñiz Pedrogo David A DA Chen Jun J Hillmann Benjamin B Jeraldo Patricio P Al-Ghalith Gabriel G Taneja Veena V Davis John M JM Knights Dan D Nelson Heidi H Faubion William A WA Raffals Laura L Kashyap Purna C PC

Inflammatory bowel diseases 20190401 5

<h4>Background</h4>Inflammatory bowel diseases (IBDs) are a group of heterogeneous inflammatory conditions affecting the gastrointestinal tract. Although there is considerable evidence linking the gut microbiota to intestinal inflammation, there is limited knowledge on its potential role in the development of extraintestinal manifestations of IBD.<h4>Methods</h4>Four groups of patients were included: IBD-associated arthropathy (IBD-A); IBD without arthropathy (IBD-N); rheumatoid arthritis (RA); ...[more]

PMID: 30321331

Similar Datasets

Project description:IntroductionDespite the widespread use of magnetic resonance imaging (MRI) and Doppler ultrasound for the detection of rheumatoid arthritis (RA) disease activity, little is known regarding the association of imaging-detected activity and synovial pathology. The purpose of this study was to compare site-specific release of inflammatory mediators and evaluate the corresponding anatomical sites by examining colour Doppler ultrasound (CDUS) and MRI scans.MethodsRA patients were evaluated on the basis of CDUS and 3-T MRI scans and subsequently underwent synovectomy using a needle arthroscopic procedure of the hand joints. The synovial tissue specimens were incubated for 72 hours, and spontaneous release of monocyte chemoattractant protein 1 (MCP-1), interleukin 6 (IL-6), macrophage inflammatory protein 1? (MIP-1?) and IL-8 was measured by performing multiplex immunoassays. Bone marrow oedema (BME), synovitis and erosion scores were estimated on the basis of the rheumatoid arthritis magnetic resonance imaging score (RAMRIS). Mixed models were used for the statistical analyses. Parsimony was achieved by omitting covariates with P > 0.1 from the statistical model.ResultsTissue samples from 58 synovial sites were obtained from 25 patients. MCP-1 was associated with CDUS activity (P = 0.009, approximate Spearman's ? = 0.41), RAMRIS BME score (P = 0.01, approximate Spearman's ? = 0.42) and RAMRIS erosion score (P = 0.03, approximate Spearman's ? = 0.31). IL-6 was associated with RAMRIS synovitis score (P = 0.04, approximate Spearman's ? = 0.50), BME score (P = 0.04, approximate Spearman's ? = 0.31) and RAMRIS erosion score (P = 0.03, approximate Spearman's ? = 0.35). MIP-1? was associated with CDUS activity (P = 0.02, approximate Spearman's ? = 0.38) and RAMRIS synovitis scores (P = 0.02, approximate Spearman's ? = 0.63). IL-8 associations with imaging outcome measures did not reach statistical significance.ConclusionsThe association between imaging activity and synovial inflammatory mediators underscores the high sensitivity of CDUS and MRI in the evaluation of RA disease activity. The associations found in our present study have different implications for synovial mediator releases and corresponding imaging signs. For example, MCP-1 and IL-6 were associated with both general inflammation and bone destruction, in contrast to MIP-1?, which was involved solely in general synovitis. The lack of association of IL-8 with synovitis was likely underestimated because of a large proportion of samples above assay detection limits among the patients with the highest synovitis scores.

Project description:IntroductionLimited data are available to explain nonadherence to methotrexate (MTX) therapy in patients with rheumatoid arthritis (RA). Better understanding of patterns of MTX use and reasons for nonadherence may help identify patients who would benefit from alternative RA treatments and potentially aid in developing strategies to increase overall adherence. The purpose of this study was to assess patients' self-reported adherence to MTX and to identify reasons for nonadherence.MethodsPatient panel members in the US self-reporting a diagnosis of RA of ?3 months' and current MTX use of ?4 weeks' duration, with or without concomitant use of another RA prescription medication, participated in this cross-sectional, web-based survey.ResultsThe sample population (251 MTX monotherapy, 250 MTX combination therapy) was predominantly female, white, non-Hispanic, and educated; 48% were 18-44 years-old, 47% had medical comorbidities, 66% were first diagnosed with RA ?5 years earlier, 51% reported MTX use of <1 year, and 83% reported oral MTX use. Forty-two percent reported not taking MTX exactly as prescribed. Reasons for nonadherence included forgetting to take it (33%), not needing it when feeling well (24%), and concern about long-term safety (24%). Among nonadherent patients, 53% took smaller doses, 52% skipped doses, and 6% reported other nonprescribed ways of taking MTX. Younger age, male sex, and shorter duration of MTX use were associated with poorer self-reported adherence. Compared with monotherapy patients, combination therapy patients, particularly those taking ?2 other RA prescriptions, were less likely to report high adherence.ConclusionNearly half the sample reported poor MTX adherence because they forgot to take it, thought it was not needed when they felt well, or had long-term safety concerns. Patients taking ?2 other RA prescription medications were less likely to report good adherence. Reducing treatment burden without sacrificing efficacy may be a strategy worth evaluating.

Project description: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.

Dataset Information

An Increased Abundance of Clostridiaceae Characterizes Arthritis in Inflammatory Bowel Disease and Rheumatoid Arthritis: A Cross-sectional Study.

Publications

An Increased Abundance of Clostridiaceae Characterizes Arthritis in Inflammatory Bowel Disease and Rheumatoid Arthritis: A Cross-sectional Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets