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Record W2012473730 · doi:10.1159/000137758

Effects of Peptides and Amines on Isolated Guinea Pig Tracheae as Influenced by Inhibitors of the Metabolism of Arachidonic Acid

2008· article· en· W2012473730 on OpenAlexaff
Jacques Mizrahi, P. D rsquo Orl eacute ans-Juste, S. Caranikas, D. Regoli

Bibliographic record

VenuePharmacology · 2008
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsIsoprenalineHistamineBradykininAcetylcholineArachidonic acidEledoisinGuinea pigEndocrinologyInternal medicineSubstance PChemistryProstaglandinMetabolismBiologyPharmacologyBiochemistryEnzymeNeuropeptideMedicineReceptor

Abstract

fetched live from OpenAlex

Stimulants (histamine, acetylcholine and substance P) and relaxants (isoprenaline and bradykinin) of the guinea pig trachea were tested in the absence and presence of mepacrine, eicosatetraynoic acid, BW 755C and indomethacin in order to evaluate the involvement of prostaglandins and congeners in the effects of amines and peptides. While histamine appeared to stimulate tracheal smooth muscle directly, acetylcholine acted in part by promoting the release of contractile leukotrienes. Substance P was unable to express its full stimulating effect because of a likely release of an inhibitory prostaglandin. Isoprenaline inhibited tracheal smooth muscles by a direct action, while the relaxation of the trachea in response to bradykinin appeared to depend on the release of prostaglandins, since it was reduced in the presence of inhibitors of cyclo- and lipooxygenase. It is concluded that enzymes involved in the metabolism of arachidonic acid are present in the guinea pig trachea and are activated both by relaxant and stimulant agents.

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)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.267
Teacher spread0.261 · 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

Citations22
Published2008
Admission routes1
Has abstractyes

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