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Combined Interactions with I<sub>1</sub>-, I<sub>2</sub>-Imidazoline Binding Sites and α<sub>2</sub>-Adrenoceptors To Manage Opioid Addiction

2016· article· en· W2512162352 on OpenAlexafffund
Maria Elena Giusepponi, Carlo Cifani, Maria Vittoria Micioni Di Bonaventura, Laura Mattioli, Alan L. Hudson, Eleonora Diamanti, Fabio Del Bello, Mario Giannella, Valerio Mammoli, Corinne Dalila Paoletti, Alessandro Piergentili, Maria Pigini, Wilma Quaglia

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsAgmatineImidazoline receptorOpioidPharmacologyAddictionOpiateOpioid receptorμ-opioid receptorChemistryMedicineNeuroscienceReceptorPsychologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Tolerance and dependence associated with chronic opioid exposure result from molecular, cellular, and neural network adaptations. Such adaptations concern opioid and nonopioid systems, including α 2 -adrenoceptors (α 2 -ARs) and I 1 - and I 2 -imidazoline binding sites (IBS). Agmatine, one of the hypothesized endogenous ligands of IBS, targeting several systems including α 2 -ARs and IBS, proved to be able to regulate opioid-induced analgesia and to attenuate the development of tolerance and dependence. Interested in the complex pharmacological profile of agmatine and considering the nature of its targets, we evaluated two series of imidazolines, rationally designed to simultaneously interact with I 1 -/I 2 -IBS or I 1 -/I 2 -IBS/α 2 -ARs. The compounds showing the highest affinities for I 1 -/I 2 -IBS or I 1 -/I 2 -IBS/α 2 -ARs have been selected for their in vivo evaluation on opiate withdrawal syndrome. Interestingly, 9, displaying I 1 -/I 2 -IBS/α 2 -ARs interaction profile, appears more effective in reducing expression and acquisition of morphine dependence and, therefore, might be considered a promising tool in managing opioid addiction.

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 categoriesMeta-epidemiology (narrow)
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 score0.011
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.240
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 teacher head, not a consensus.

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

Citations6
Published2016
Admission routes2
Has abstractyes

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Same venueACS Medicinal Chemistry LettersSame topicNeurotransmitter Receptor Influence on BehaviorFrench-language works237,207