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Record W1496398523 · doi:10.1002/ptr.4837

Intrathecal [6]‐Gingerol Administration Alleviates Peripherally induced Neuropathic Pain in Male Sprague–Dawley Rats

2012· article· en· W1496398523 on OpenAlexafffund
Marie‐Lou Gauthier, Francis Beaudry, Pascal Vachon

Bibliographic record

VenuePhytotherapy Research · 2012
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNeuropathic painMedicineSciatic nerveSpinal cordLumbar Spinal CordGingerolHyperalgesiaAnesthesiaPharmacologyNociceptionCentral nervous systemAllodyniaSciaticaAgonistChemistryReceptorInternal medicineSurgery

Abstract

fetched live from OpenAlex

[6]-Gingerol, a structural analog of capsaicin, is an agonist of the transient receptor potential vanilloid 1 channel, which is known to have therapeutic properties for the treatment of pain and inflammation. The main objective of this study was to determine the central effect of [6]-gingerol on neuropathic pain when injected intrathecally at the level of the lumbar spinal cord. [6]-Gingerol distribution was evaluated following a 40 mg/kg intraperitoneal injection, and the brain-to-plasma and spinal cord-to-plasma ratios (0.73 and 1.7, respectively) suggest that [6]-gingerol penetrates well the central nervous system of rats. Induction of pain was performed using the sciatic nerve ligation model on rats, and a 10-µg intrathecal injections of [6]-gingerol was performed to evaluate its central effect. The results suggest a significant decrease of secondary mechanical allodynia after 30 min, 2 h and 4 h (p < 0.05, p < 0.01 and p < 0.001) and thermal hyperalgesia after 30 min, 2 h and 4 h (p < 0.05, p < 0.01 and p < 0.01). These promising results illustrate that [6]-gingerol could alleviate neuropathic pain by acting centrally at the level of the spinal cord.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.110
GPT teacher head0.402
Teacher spread0.292 · 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

Citations26
Published2012
Admission routes2
Has abstractyes

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