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Record W2206764452 · doi:10.1177/0271678x15612099

Efficacy of the PSD95 inhibitor Tat-NR2B9c in mice requires dose translation between species

2015· article· en· W2206764452 on OpenAlexaff
Lucy Teves, Hong Cui, Michael Tymianski

Bibliographic record

VenueJournal of Cerebral Blood Flow & Metabolism · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsTranslation (biology)PharmacologyStroke (engine)MedicineDose dependenceBiologyInternal medicineBiochemistryMessenger RNAGene

Abstract

fetched live from OpenAlex

Tat-NR2B9c, a clinical-stage stroke neuroprotectant validated in rats and primates, was recently deemed ineffective in mice. To evaluate this discrepancy, we conducted studies in mice subjected to temporary middle cerebral artery occlusion (tMCAO) for either 30 or 60 min according to the established principles for dose-translation between species. Tat-NR2B9c treatment reduced infarct volume by by 24.5% (p = 0.49) and 26.0% (p = 0.03) for 30 and 60 min tMCAO, respectively, at the rat-equivalent dose of 10 nMole/g, but not at the previously reported 3 nMole/g in mice. Dose translation is thus critical when preclinical experiments are conducted in new species.

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 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 score0.115
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.031
GPT teacher head0.262
Teacher spread0.230 · 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

Citations45
Published2015
Admission routes1
Has abstractyes

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