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Record W3084265147 · doi:10.1177/2398212820957847

(2 <i>S</i> ,6 <i>S</i> )- and (2 <i>R</i> ,6 <i>R</i> )-hydroxynorketamine inhibit the induction of NMDA receptor-dependent LTP at hippocampal CA1 synapses in mice

2020· article· en· W3084265147 on OpenAlexafffund
Heather Kang, Pojeong Park, Muchun Han, Patrick Tidball, John Georgiou, Zuner A. Bortolotto, David Lodge, Bong‐Kiun Kaang, Graham L. Collingridge

Bibliographic record

VenueBrain and Neuroscience Advances · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsOccupational Cancer Research CentreSinai Health SystemLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
FundersCanadian Institutes of Health Research
KeywordsLong-term potentiationNMDA receptorLTP inductionHippocampal formationSynaptic plasticityHippocampusMechanism of actionKetamineChemistryPharmacologyAMPA receptorGlutamate receptorReceptorLong-term depressionNeuroscienceBiologyBiochemistryIn vitro

Abstract

fetched live from OpenAlex

The ketamine metabolite (2 R,6 R)-hydroxynorketamine has been proposed to have rapid and persistent antidepressant actions in rodents, but its mechanism of action is controversial. We have compared the ability of ( R,S)-ketamine with the (2 S,6 S)- and (2 R,6 R)-isomers of hydroxynorketamine to affect the induction of N-methyl-d-aspartate receptor–dependent long-term potentiation in the mouse hippocampus. Following pre-incubation of these compounds, we observed a concentration-dependent (1–10 μM) inhibition of long-term potentiation by ketamine and a similar effect of (2 S,6 S)-hydroxynorketamine. At a concentration of 10 μM, (2 R,6 R)-hydroxynorketamine also inhibited the induction of long-term potentiation. These findings raise the possibility that inhibition of N-methyl-d-aspartate receptor–mediated synaptic plasticity is a site of action of the hydroxynorketamine metabolites with respect to their rapid and long-lasting antidepressant-like effects.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.037
GPT teacher head0.297
Teacher spread0.259 · 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

Citations8
Published2020
Admission routes2
Has abstractyes

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