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Increased Prostaglandin E2Release and Activated Akt/β-Catenin Signaling Pathway Occur after Opioid Withdrawal in Rat Spinal Cord

2006· article· en· W2158207006 on OpenAlexfundno aff
Stuart A. Dunbar, Ivan Karamian, L. A. Roberts, Jiahui Zhang

Bibliographic record

VenueAnesthesiology · 2006
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
FundersMcGill University
KeywordsMedicineProtein kinase BProstaglandin E2OpioidKindlingMorphineProstaglandin ESpinal cordNociceptionPharmacologySignal transductionEndocrinologyInternal medicineStimulationReceptorCell biologyBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Prostaglandin E(2) is an important spinal modulator of nociception. However, the effects of chronic opioid administration and withdrawal on prostaglandin E(2) release and associated signaling pathways in the spinal cord are generally unknown. METHODS: This study sought to examine these effects using a spinal microdialysis technique in a model of chronic morphine administration and withdrawal in the rat. RESULTS: The authors found that spinal prostaglandin E(2) release was unaffected by chronic morphine treatment but was significantly increased during withdrawal. Recurrent withdrawal did not further enhance this release. The authors also found up-regulation of cyclooxygenase-2 expression and phosphorylation of protein kinase Akt at Ser-473 in response to opioid withdrawal. In addition, they demonstrated that beta-catenin, a transcription factor downstream of Akt, was induced during morphine withdrawal, particularly during recurrent withdrawal. CONCLUSIONS: These results suggest that opioid withdrawal activates signaling pathways associated with neuronal survival and transcriptional control, two processes implicated in neuronal development and synaptic plasticity.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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 designObservational
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

Citations14
Published2006
Admission routes1
Has abstractyes

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