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Record W1996611980 · doi:10.1038/sj.bjp.0704568

Proteinase‐activated receptor‐1 agonists attenuate nociception in response to noxious stimuli

2002· article· en· W1996611980 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Pharmacology · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNoxious stimulusHyperalgesiaNociceptionChemistryAgonistPharmacologyThrombinReceptorNociceptorMedicineBiochemistryInternal medicinePlatelet

Abstract

fetched live from OpenAlex

Proteinase-activated receptor-1 (PAR-1) is activated by thrombin and can be selectively activated by synthetic peptides (PAR-1-activating peptide: PAR-1-AP) corresponding to the receptor's tethered ligand. PAR-1 being expressed by afferent neurons, we investigated the effects of PAR-1 agonists on nociceptive responses to mechanical and thermal noxious stimuli. Intraplantar injection of selective PAR-1-AP increased nociceptive threshold and withdrawal latency, leading to mechanical and thermal analgesia, while control peptide had no effect. Intraplantar injection of thrombin also showed analgesic properties in response to mechanical, but not to thermal stimulus. Co-injection of PAR-1-AP with carrageenan significantly reduced carrageenan-induced mechanical and thermal hyperalgesia, while thrombin reduced carrageenan-induced mechanical but not thermal hyperalgesia. The fact that thrombin is not a selective agonist for PAR-1 may explain the different effects of thrombin and PAR-1-AP. These results identified analgesic properties for selective PAR-1 agonists that can modulate nociceptive response to noxious stimuli in normal and inflammatory conditions.

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.

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)0.001
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 score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.043
GPT teacher head0.309
Teacher spread0.266 · 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