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Record W7045718782

CCDC88B is required for pathogeneisis of inflammatory bowel disease.

2017· article· en· W7045718782 on OpenAlexfundno aff

Bibliographic record

VenueOpen Repository and Bibliography (University of Liège) · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéSwedish Orphan BiovitrumMcGill UniversityUniversité de MontréalCanadian Institutes of Health ResearchWalloon excellence in life sciences and biotechnologyLeona M. and Harry B. Helmsley Charitable TrustBelgian Federal Science Policy OfficeStyrelsen för Internationellt Utvecklingssamarbete
KeywordsInflammatory bowel diseaseUlcerative colitisInflammationInflammatory Bowel DiseasesDisease
DOInot available

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) involves interaction between host genetic factors and environmental triggers.CCDC88B maps within one IBD risk locus on human chromosome 11q13.Here we show that CCDC88B protein increases in the colon during intestinal injury, concomitant with an influx of CCDC88B + lymphoid and myeloid cells.Loss of Ccdc88b protects against DSS-induced colitis, with fewer pathological lesions and reduced intestinal inflammation in Ccdc88b-deficient mice.In a T cell transfer model of colitis, Ccdc88b mutant CD4 + T cells do not induce colitis in immunocompromised hosts.Expression of human CCDC88B RNA and protein is higher in IBD patient colons than in control colon tissue.In human CD14 + myeloid cells, CCDC88B is regulated by cis-acting variants.In a cohort of patients with Crohn's disease, CCDC88B expression correlates positively with disease risk.These findings suggest that CCDC88B has a critical function in colon inflammation and the pathogenesis of IBD.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.006

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 head0.019
GPT teacher head0.256
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

Citations0
Published2017
Admission routes1
Has abstractno

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