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Record W3102853782 · doi:10.1139/cjpp-2020-0307

Neonatal pain modulates in adolescent rats the antinociceptive effects of fluoxetine and buspirone administrated to their depressive dams during gestation

2020· article· en· W3102853782 on OpenAlexvenueno aff
И. П. Буткевич, В. А. Михайленко, Е. А. Вершинина

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2020
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsnot available
FundersRussian Foundation for Basic Research
KeywordsBuspironeFluoxetineNociceptionOffspringGestationMedicineAgonistAnesthesiaAnalgesicEndocrinologyInternal medicinePharmacologySerotoninReceptorPregnancyBiology

Abstract

fetched live from OpenAlex

Previously, we have shown that the administration of a selective serotonin reuptake inhibitor fluoxetine or a 5-HT1A receptor agonist buspirone to stressed rats during gestation causes in the offspring alleviation of formalin-induced pain, strengthened by prenatal stress. We have also found that neonatal inflammatory pain strengthens formalin-induced pain in prenatally unstressed rats in later life. In the present study, we investigated the effect of neonatal inflammatory pain on the time-course of the biphasic pain response in the formalin test in prenatally stressed adolescent rats of both sexes to evaluate whether neonatal pain affects the antinociceptive properties of these drugs administered to their depressed mothers during gestation. Our findings demonstrate that neonatal pain modulates in prenatally stressed rats the antinociceptive effect of fluoxetine and buspirone depending on the level of organization of pain response in the central nervous system, the phase of the time-course of the formalin-induced pain, and sex of the rat.

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 score0.002
Threshold uncertainty score0.004

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)0.0010.000

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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and Pharmacology→Same topicStress Responses and Cortisol→French-language works237,207→