MétaCan
Menu
Back to cohort
Record W4387080265 · doi:10.1093/sleepadvances/zpad037

Sleep-inducing effect of Rhynchophylline in <i>EphA4</i> knockout mice

2023· article· en· W4387080265 on OpenAlexafffund
Maria Neus Ballester Roig, Valérie Mongrain

Bibliographic record

VenueSLEEP Advances · 2023
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalCanadian Sleep & Circadian NetworkUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
FundersNatural Sciences and Engineering Research Council of CanadaUniversité de Montréal
KeywordsWakefulnessKnockout mouseAlkaloidVigilance (psychology)Sleep (system call)Wild typeNeuroscienceSlow-wave sleepPharmacologyMedicineEndocrinologyBiologyInternal medicineReceptorBiochemistryElectroencephalographyMutant

Abstract

fetched live from OpenAlex

Abstract We have recently demonstrated that the alkaloid rhynchophylline (RHY; purified from Uncaria plants) induces sleep and modifies electrocorticographic (ECoG) activity throughout the 24-h day in a vigilance state-dependent manner in wild-type mice. We here asked whether this alkaloid impacts wake/sleep variables in the absence of the cell adhesion protein EPHA4, via ECoG recording in EphA4 knockout (KO) mice submitted to the same RHY treatment contemporaneously to the wild-type mice (littermates). We uncover that RHY decreases time spent awake and increases time spent in slow wave sleep in EphA4 KO mice and alters the 24-h time course of ECoG activity during wakefulness and sleep states. These observations are similar to the reported effects of RHY in wild-type littermate animals, which strongly supports that RHY-driven sleep alterations are not dependent on the presence of EPHA4.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.378
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.319
Teacher spread0.299 · 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 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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueSLEEP AdvancesSame topicSleep and Wakefulness ResearchFrench-language works237,207