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Record W2185251962 · doi:10.1189/jlb.68.6.821

Neutrophil migration stimulates rat intestinal epithelial cell cytokine expression during helminth infection

2000· article· en· W2185251962 on OpenAlexafffund
Andrew W. Stadnyk, Cheryl D Dollard, Andrew C. Issekutz

Bibliographic record

VenueJournal of Leukocyte Biology · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsDalhousie University
FundersMedical Research Council CanadaCrohn's and Colitis Foundation of Canada
KeywordsBiologyIntestinal epitheliumEpitheliumCytokineInfiltration (HVAC)ImmunologyInflammationReceptorIntestinal mucosaInternal medicineMedicine

Abstract

fetched live from OpenAlex

We are interested in understanding the role of epithelial cells during inflammation, and we previously reported that rat small intestinal epithelial cells express interleukin-1beta (IL-1beta) during infection by Trichinella spiralis. We now report that the epithelium also produces the potent neutrophil chemotactic factor, macrophage inflammatory protein-2 (MIP-2), and an IL-1 antagonist: the type II IL-1 receptor. Consequently we investigated the pattern of neutrophil infiltration into the infected intestine, which closely paralleled the epithelial cytokine expression. Speculating that neutrophil infiltration may provoke epithelial cytokine expression, neutrophil migration into the infected gut was reduced by depleting circulating cells through the use of a specific antibody, or by preventing migration through the use of a function-blocking anti-CD18 monoclonal antibody. Either treatment reduced the number of neutrophils recoverable from the small intestinal epithelium and was paralleled by reduced mRNA levels for epithelial cytokines. These results demonstrate that neutrophil infiltration of the small intestinal epithelium contributes to the stimulation of epithelial cell cytokines.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.230
Teacher spread0.223 · 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 teacher head, not a consensus.

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

Citations20
Published2000
Admission routes2
Has abstractyes

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