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Record W2790120820 · doi:10.1093/jcag/gwy008.306

A305 THE PRONOCICEPTIVE EFFECT OF HIGH DOSE OPIOIDS ON MOUSE DRG NEURONS IS MEDIATED BY DELTA OPIOID RECEPTORS

2018· article· en· W2790120820 on OpenAlexaff
Josue O. Jaramillo Polanco, Cintya D. Lopez Lopez, Y Zhang, David E. Reed, Alan Lomax, Stephen Vanner

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsDAMGOOpioidAgonistμ-opioid receptorDADLEPharmacologyδ-opioid receptorEnkephalinMedicineReceptorOpioid receptorEndocrinologyInternal medicineNeuroscienceChemistryBiology

Abstract

fetched live from OpenAlex

Opioid drugs can be efficacious in the treatment of abdominal pain, but escalating doses of these drugs can also induce pronociceptive signalling in patients and paradoxically worsen pain. The analgesic actions of opioid drugs on dorsal root ganglia (DRG) neurons innervating the intestine are largely mediated by mu opioid receptors (MOR) but there is growing evidence that delta opioid receptors (DOR) could be important targets for pain signaling and to prevent opioid tolerance. However, it is unknown whether MOR and DOR are co-expressed on colonic DRG neurons and whether DOR play a role in pain signaling in the gut. The present study examined whether exposure to low and high concentrations of the opioid receptor agonist DAMGO had differing effects on the excitability of nociceptive DRG neurons, and if so, whether these actions involved MOR and/or DOR signaling. Single unit afferent recordings were obtained in situ from mouse colons to determine the effects of the MOR agonist DAMGO (100nM) and the DOR agonist DADLE (100nM) on mechanosensitive responses. To examine the effects of high and low dose opioids, nociceptive mouse DRG neurons were dissociated from control mice and incubated overnight with 10 nM or 10 µM DAMGO or media alone. Changes in neuronal excitability were recorded by measuring the rheobase using patch clamp recordings. To determine whether changes in cell excitability were mediated by MOR or DOR, neurons were incubated with the MOR antagonist CTOP (100 nM) or DOR antagonist SDM25N (1 µM) 30 min prior to the incubation with DAMGO. Single unit recordings from mouse colon were inhibited by both MOR and DOR agonists in 38% of afferents (3/8). Overnight incubation with 10 nM DAMGO inhibited neurons (rheobase increased by 43%, p <0.001) whereas 10 µM DAMGO had an excitatory effect (rheobase decreased by 31%, p <0.01). The inhibitory effect of low dose DAMGO was blocked by the MOR antagonist but the DOR antagonist had no effect. In contrast, the excitatory effect of the high dose DAMGO was completely blocked by the DOR antagonist. Many colonic DRG neurons co-express MOR and DOR. High concentrations of opioids paradoxically increase excitability of nociceptive DRG neurons, potentially by signaling to MOR-DOR heterodimers. This could lead to increased pain signaling and targeting DOR may be a potential target to mitigate this action. CCC

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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.230
Teacher spread0.225 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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