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Record W2326603190 · doi:10.1097/mib.0b013e31828dcac7

Crosstalk Between the Intestinal Microbiota and the Innate Immune System in Intestinal Homeostasis and Inflammatory Bowel Disease

2013· review· en· W2326603190 on OpenAlexaff
Jeremy Dupaul-Chicoine, Maryse Dagenais, Maya Saleh

Bibliographic record

VenueInflammatory Bowel Diseases · 2013
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcGill University
Fundersnot available
KeywordsInflammatory bowel diseaseCrosstalkInnate immune systemImmune systemImmunologyGut floraHomeostasisDiseaseCrohn's diseaseInnate lymphoid cellInflammationMedicineBiologyCell biologyInternal medicine

Abstract

fetched live from OpenAlex

: Inflammatory bowel diseases are a set of complex and chronic disorders that arise in genetically predisposed individuals due to a lack of tolerance to the gut microflora. Although the intestinal microbiota is required for the proper development of the host and the maintenance of intestinal homeostasis, its dysbiosis is associated with inflammatory bowel diseases pathogenesis. In this review, we focus the discussion on the crosstalk between the innate immune system and the microbiota. We examine new findings from genetic and functional studies investigating the critical role of the intestinal epithelial cell layer and the processes that maintain its integrity in health and disease. We further explore the mechanisms of the mucosal innate immune system including dendritic cells, macrophages, and innate-like lymphocytes in mediating immunological tolerance at the steady state or pathogenic inflammatory responses in inflammatory bowel diseases.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.014
GPT teacher head0.267
Teacher spread0.253 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations68
Published2013
Admission routes1
Has abstractyes

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