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Record W4391873714 · doi:10.1093/jcag/gwad061.001

A1 PRE-CLINICAL CROHN’S DISEASE MICROBIOME PROMOTES INFLAMMATION IN GNOTOBIOTIC RECIPIENT MICE

2024· article· en· W4391873714 on OpenAlexaff
Christine M. Dang, Alice Chen-Liaw, Andrew A. Luchak, Irwindeep Sandhu, Kun Mu, Meilan Xue, S Lee, Ilaria Mogno, Catherine Streutker, G J Britton, J Faith, Williams Turpin, Kenneth Croitoru

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of Toronto
Fundersnot available
KeywordsCrohn's diseaseMicrobiomeInflammationDiseaseImmunologyMedicineBiologyPathologyBioinformatics

Abstract

fetched live from OpenAlex

Abstract Background Crohn’s disease (CD) is a chronic disorder of unknow etiology. We recently demonstrated that microbiome composition is associated with the risk of CD development; however, its potential causal effect remains unknown. Aims Given the fact that first-degree relatives (FDRs) that are sibling likely to share similar environmental and genetic makeup, we selected pairs of discordant siblings (one remaining healthy referred to as healthy matched control-HMC, and the other who developed CD later on referred to as pre-CD) to investigate whether the microbiome contributes to or triggers dysregulated immune response by transplanting microbiome from them into germ-free mice (GFM). Methods Faecal samples from discordant siblings, recruited as part of the CCC-GEM project, a cohort of prospectively followed healthy first-degree relatives, were transplanted into RAG1-/- GFM before T-cell transfer-induced colitis. Fecal Lipocalin-2 (LCN-2) was measured by ELISA to assess gut inflammation. Body weight was monitored for 6 weeks after T-cell transfer. Intestinal tissue damage was assessed by histology scoring (PMID: 8623920). Pro-inflammatory cytokine gene profile of ileum and colon tissue was measured by qPCR. R-software was used for statistical analysis. Results Our results showed that mouse recipients of pre-CD microbiota experienced more weight loss than HMC group, with a greater difference observed in the second week after inducing colitis (p=0.0019). LCN-2 of pre-CD mice was significantly higher after T-cell transfer for 3 weeks. Intriguingly, pre-CD stool recipient mice had higher histological damage score in the ileum (p=0.025). Histological analysis revealed that granulomatous inflammation, mucin depletion, crypt loss were greater in pre-CD group (p≤0.05). Pre-CD stool promoted the expression of selected pro-inflammatory cytokine genes in the ileum with significant increases of TNFα, IL-1β, IFNγ, IL10 and TGFβ compared to mice that received HMC microbiome. Colonic tissue showed significant increases in TNFα and TGFβ in the mice recipient of the pre-CD microbiome. Conclusions These results suggests that pre-CD microbiome can worsen T cell transfer colitis in mice compared to HMC microbiome. This suggests that microbiome or other constituents of stool from pre-CD subjects are major contributors to the onset of disease. Modulating pre-CD microbiome composition could lead to novel methods to prevent CD onset. Funding Agencies CCC, CIHRWeston Family Foundation, Helmsley, Biocodex

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.006
GPT teacher head0.244
Teacher spread0.237 · 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 designBench or experimental
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

Citations1
Published2024
Admission routes1
Has abstractyes

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