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Record W1977714059 · doi:10.1159/000232506

Secretion of a Hyperemia-Inducing Moiety by Mitogen or Glycogen Stimulated Mononuclear Inflammatory Cells of Sheep and Rabbit

2009· article· en· W1977714059 on OpenAlexaff
Peter Vadas, John B. Hay

Bibliographic record

VenueInternational Archives of Allergy and Applied Immunology · 2009
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMediatorConcanavalin ASecretionPeripheral blood mononuclear cellBiologyInflammationGlycogenImmunologyExudateEndocrinologyInternal medicineMedicineIn vitroBiochemistry

Abstract

fetched live from OpenAlex

A nonlymphokine mediator of hyperemia has been shown to be secreted by both rabbit peritoneal exudate cells stimulated with 5% glycogen and by concanavalin A treated cells from afferent lymph of sheep. This mediator is not stored in an active form in cells, but is either activated or synthesized de novo in response to antigenic or mitogenic stimuli. Secretion of the mediator is inhibited by culturing cells in the presence of dexamethasone but not indomethacin. However, expression of the activity is inhibited by pretreatment of the assay animals with indomethacin, suggesting a two-step induction of hyperemia. A similar mediator was found to be secreted by sheep and rabbit alveolar lavage cells, and rat peritoneal exudate cells. The presence of this hyperemia-inducing activity from diverse species suggests a fundamental role in controlling blood flow. Alteration of blood flow may modulate delivery of blood-borne cells and factors to sites of chronic inflammation.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.011
GPT teacher head0.227
Teacher spread0.216 · 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

Citations7
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueInternational Archives of Allergy and Applied ImmunologySame topicNeuroscience of respiration and sleepFrench-language works237,207