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Tactile-Induced Ultrasonic Vocalization in the Rat: A Novel Assay to Assess Anti-Migraine Therapies <i>in vivo</i>

2008· article· en· W2033825789 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

VenueCephalalgia · 2008
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsAstraZeneca (Canada)
Fundersnot available
KeywordsMedicineTriptansMigraineCalcitonin gene-related peptideZolmitriptanSumatriptanPharmacologyIn vivoInflammationDiazepamKetorolacAnesthesiaNeuropeptideInternal medicineAgonistReceptorAnalgesic

Abstract

fetched live from OpenAlex

A pharmacological model of migraine is described using ultrasound vocalization (USV) of rats following central inflammation-induced sensitization to tactile stimulation. Central inflammation induced by intracerebroventricular injection of lipopolysaccharide (LPS) increased USV induced by an air current focused on the head and this was abolished by morphine and ketorolac, suggesting a nociceptive component. USV in naive rats were unaffected. Diazepam reduced USV in both inflamed and naive rats. The triptans, zolmitriptan and sumatriptan, both reduced USV in inflamed but not in naive rats, as did dihydroergotamine, and the calcitonin gene-related peptide (CGRP) antagonists alphaCGRP(8-37) and BIBN4096BS. The neurokinin-1 antagonist L-733-060 had no effect in either inflamed or naive rats when given after induction of inflammation, but when given with the LPS it prevented the augmentation of USV. This profile of activity of agents proven to be effective in the clinic suggests this model can be used to predict novel therapeutic agents for migraine.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.317
Teacher spread0.250 · 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