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Record W2040354737 · doi:10.1016/s0304-3959(01)00410-9

Attenuation of hyperalgesia in a rat model of neuropathic pain after intrathecal pre- or post-treatment with a neurokinin-1 antagonist

2002· article· en· W2040354737 on OpenAlexafffund
Catherine M. Cahill, Terence J. Coderre

Bibliographic record

VenuePain · 2002
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsMcGill UniversityMontreal Clinical Research Institute
FundersMedical Research CouncilCanadian Institutes of Health ResearchMedical Research Council Canada
KeywordsHyperalgesiaNeuropathic painMedicineAntagonistAnesthesiaTachykinin receptor 1IntrathecalNociceptionSubstance PNeuropeptideReceptorInternal medicine

Abstract

fetched live from OpenAlex

Although many studies have demonstrated a role for substance P in pain, there have been conflicting reports implicating the involvement of substance P in neuropathic pain models. In this study, the non-peptide neurokinin-1 (NK-1) receptor antagonist, L-732,138 was chronically administered by intrathecal (i.t.) injection to rats with mono-neuropathy produced by sciatic nerve constriction. Rats exhibited tactile allodynia and cold hyperalgesia over a 16-day testing period. L-732,138 (5-200 nmol) administered i.t. prior to and for 3 consecutive days post-surgery attenuated the mechanical allodynia and cold hyperalgesia on days 4 and 8 post-surgery. The effects of i.t. L-732,138 were also determined in rats with established nerve injury-induced neuropathy. The NK-1 receptor antagonist was injected for 4 consecutive days starting on day 8 post-sciatic nerve injury. Administration of L-732,138 (5-200 nmol) i.t. produced both anti-allodynic and anti-hyperalgesic effects on day 12, but the effect was not permanent, as nociceptive thresholds were similar to controls by day 16. These results demonstrate that substance P is involved both in the induction and the maintenance of neuropathic pain and provides justification for the development and administration of substance P antagonists for the management of clinical neuropathic pain.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

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

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 head0.022
GPT teacher head0.242
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations90
Published2002
Admission routes2
Has abstractyes

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