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Record W2587056640 · doi:10.1093/ecco-jcc/jjx002.914

P793 Microbial composition in IBD may influence clinical symptoms independent of endoscopic activity

2017· article· en· W2587056640 on OpenAlexaff
Karen Boland, Williams Turpin, Aylia Mohammadi, Krzysztof Borowski, Boyko Kabakchiev, Michelle I. Smith, Geoffrey C. Nguyen, A. Hillary Steinhart, Kenneth Croitoru, Mark S. Silverberg

Bibliographic record

VenueJournal of Crohn s and Colitis · 2017
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsInternal medicineGastroenterologyMedicineUniFracColonoscopyUlcerative colitisAsymptomaticBeta diversityDiseaseCancerColorectal cancerBiology16S ribosomal RNA

Abstract

fetched live from OpenAlex

Background: Symptoms in inflammatory bowel disease (IBD) do not consistently mirror endoscopic activity. The aim of this study is to determine if there is a relationship between mucosal microbiome composition and clinical activity. Methods: IBD patients and healthy controls (HC) were recruited from a tertiary IBD centre on the day of colonoscopy. Clinical and patient demographic data were recorded and mucosal biopsies obtained. Quiescent IBD was defined as Mayo 0 or SES-CD 0–2, mild as Mayo 1 or SES-CD 3–5, moderate to severe as Mayo >2 or SES-CD >6. Clinical activity was defined as partial Mayo score >3 or CDAI >220. Bacterial DNA from biopsies was extracted and the V4 region of 16s rRNA sequenced by Miseq and processed using the QIIME v1.9 pipeline. Alpha diversity was calculated using Chao1 index after rarefaction at 8,500 reads per sample prior to analysis and associations addressed using parametric t-test. Principle coordinate analysis was conducted using Bray-Curtis as the beta diversity metric and significance tested using an Adonis test after 1000 permutation on the first 3 PCoA axes. Taxa analysis was assessed using Kruskal Wallis test or Spearman correlation. Results: 225 IBD patients and 48 HC were recruited. Sigmoid biopsies from patientswith moderate to severe endoscopic disease were analysed initially. Measures of beta and alpha diversity were similar in clinically active patients (n=51) relative to clinical remission (n=32). Taxa analysis showed reduced relative abundance (RA) of Gammaproteobacteria, Coriobacteria and Fusobacteria (0.01<q<0.04) in asymptomatic relative to clinically active patients. Increasing RA of Actinobacteria micrococcaceae correlated with increasing CDAI and partial Mayo scores (p=0.001, coefficient=0.34). In contrast, microbiome composition in quiescent IBD was compared in patients with (n=12) and without clinical activity (n=65) and to HC (n=48). HC had greater Chao1 alpha diversity (q=0.003) when compared to IBD. Among IBD patients, Fusobacteriaceae RA was increased patients reporting symptoms despite endoscopic remission (q=0.02). Symptomatic patients have greater RA of Bacteroidaceae (q=0.004), Fusobacteria (q=0.004) and Actinobacteria (q=0.01) relative to clinical remission. Conclusions: In IBD patients with and without mucosal healing, increasing clinical symptoms correlated with greater abundance of bacteria including Actinobacteria and Fusobacteria. The relationship between inflammation and intestinal dysbiosis remains unclear. These data suggest an association between specific taxa and clinical symptoms in active and quiescent IBD and may help to further explain why there may be poor correlation between clinical and endoscopic activity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.327
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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