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Neuropathic Pain Unmasks Delta Opioid Receptor‐Mediated Analgesia

2016· article· en· W2767356880 on OpenAlexafffundabout
Edmund Ong, Sarah V. Holdridge, Karen Sutherland, Stacey Armstrong, Anna M.W. Taylor, Lihua Xue, Catherine M. Cahill

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsQueen's University
FundersCanadian Institutes of Health Research
KeywordsNeuropathic painMedicineAnalgesicAnesthesiaOpioidAgonistNociceptionConditioned place preferenceNaltrindolePharmacologyOpioid receptorMorphineReceptorInternal medicine

Abstract

fetched live from OpenAlex

Clinically‐used opioid drugs overwhelming act at the mu‐type opioid receptor (MOPr). MOPr agonist are good analgesics and are the gold‐standard for treating moderate and severe pain. However, MOPr agonists are considerably less effective in treating neuropathic pain. Delta‐type opioid receptor (DOPr) agonists also have analgesic effects, but none are yet used clinically. Here, we use in vivo models of neuropathic pain to examine the analgesic effects of DOPr agonists. We first show that spinally‐administered DOPr agonists (DPDPE, SNC80, Deltorphin II, and DSLET) are antiallodynic in neuropathic pain, as has previously been reported. Second, we demonstrate that DOPr‐mediated thermal antinociception is, in fact, augmented in neuropathic pain. That is, DOPr agonists produce greater thermal antinociception to the same noxious stimulus in neuropathic animals than in control animals. This is in contrast to the MOPr agonist morphine, which produces less thermal antinociception in neuropathic pain (mirroring the reduction in clinical efficacy). Interestingly, despite all tested DOPr agonists being antiallodynic in neuropathic pain, only two (Deltorphin II and DSLET) show augmented thermal antinociception. These data expand on previous reports demonstrating that DOPr activation modulates thermal nociception. Further, the divergent effects at MOPr and DOPr in neuropathic pain demonstrate that DOPr agonists produce thermal antinociception via DOPr, not MOPr. Third, we assess the effect of DOPr agonism on integrated neuropathic pain affect using the conditioned place preference (CPP) paradigm. Spinally‐administered Deltorphin II produces CPP in neuropathic animals, but not controls. Fourth, we show that blockade of DOPr by the antagonist Naltrindole produces a conditioned place aversion (CPA) in neuropathic animals, but not controls. This confirms and extends literature reports that genetic knockout of DOPr is pronociceptive and suggests the presence of DOPr‐mediated endogenous analgesia in neuropathic pain. Fifth, we use neonatally‐administered capsaicin to ablate capsaicin‐sensitive primary afferents. Destruction of these neurons prevents the augmentation of DOPr‐mediated thermal antinociception in neuropathic pain, implicating these peripheral afferents as potential sites of action. Contrastingly, the ablation of capsaicin‐sensitive primary afferents does not affect DOPr‐mediated antiallodynic effects in neuropathic pain. The results provide further evidence that neuropathic pain leads to the unmasking of DOPr‐mediated analgesia and augmentation of its endogenous activity. Meanwhile, the selective sensitivity to neonatal capsaicin suggests a role for neuronal type‐specific, ligand‐biased agonism in DOPr analgesia. Support or Funding Information This work was supported by grants from the Canadian Institutes of Health Research (MOP121915, MOP394808), the Canada Research Chairs Program, Pfizer Canada, the J.P. Bickell Foundation, the Harry Botterell Foundation, and the Ontario Innovation Trust/Canadian Foundation for Innovation to CMC. EWO was a recipient of a postgraduate scholarship from NSERC. SVH was a recipient of a postgraduate fellowship from Queen's University.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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 integrity0.0000.000
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 head0.017
GPT teacher head0.245
Teacher spread0.227 · 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.

Study designNot applicable
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

Citations4
Published2016
Admission routes3
Has abstractyes

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