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Intestinal barrier function in health and gastrointestinal disease

2012· review· en· W1523737655 on OpenAlexafffund
Michael Camilleri, Karen Madsen, Robert E. Spiller, Beverley Greenwood–Van Meerveld, G. Nicholas Verne

Bibliographic record

VenueNeurogastroenterology & Motility · 2012
Typereview
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
FundersCanadian Institutes of Health ResearchNational Center for Complementary and Integrative HealthNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute for Health and Care Research
KeywordsIrritable bowel syndromeIntestinal permeabilityBarrier functionInflammatory bowel diseaseMedicineGastrointestinal tractDiseaseIntestinal DisorderTight junctionIntestinal epitheliumInternal medicineBiologyPathologyEpitheliumCell biology

Abstract

fetched live from OpenAlex

Defects in intestinal barrier function are associated with diseases of the gastrointestinal (GI) tract. There is growing evidence that increases in intestinal permeability plays a pathogenic role in diseases, such as inflammatory bowel disease (IBD) and celiac disease, and functional bowel disorders, such as irritable bowel syndrome (IBS). This review takes a unique translational approach to discuss the physiological and pathophysiological mechanisms involved in the regulation of intestinal barrier function in IBS. The review summarizes the components of the intestinal barrier including the tight junction complex within the epithelium, and the methods used to assess gut permeability both in vitro and in vivo. Throughout the review, the authors have attempted to critically review the latest research from both experimental animal models and human studies to appraise whether intestinal barrier dysfunction is a primary cause of functional GI disorders, such as IBS.…

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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.052
GPT teacher head0.319
Teacher spread0.267 · 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

Citations887
Published2012
Admission routes2
Has abstractyes

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