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Record W2521062173 · doi:10.1177/0271678x16668890

Inhibition of fatty acid amide hydrolase by BIA 10-2474 in rat brain

2016· article· en· W2521062173 on OpenAlexaff
Junchao Tong, Romina Mizrahi, Sylvain Houle, Stephen J. Kish, Isabelle Boileau, José N. Nóbrega, Pablo Rusjan, Alan A. Wilson

Bibliographic record

VenueJournal of Cerebral Blood Flow & Metabolism · 2016
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsFatty acid amide hydrolasePotencyPharmacologyEx vivoCentral nervous systemDrugAdverse effectMedicineChemistryBiochemistryIn vitroAntagonistInternal medicineReceptor

Abstract

fetched live from OpenAlex

In a recent clinical trial, the drug BIA 10-2474, a putative fatty acid amide hydrolase(FAAH) inhibitor, was responsible for severe adverse events (SAEs), including one death. To date, there has been little reliable information divulged about the potency of BIA 10-2474 at FAAH in the central nervous system. We synthesised BIA 10-2474 and determined its ability to inhibit FAAH ex vivo in rat brain using a FAAH selective radiotracer. BIA 10-2474 proved to be a potent FAAH inhibitor with IC 50 s of 50–70 µg/kg (i.p.) in various brain regions. This information may be useful for determining the cause of the SAEs.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.258
Teacher spread0.249 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Cerebral Blood Flow & MetabolismSame topicCannabis and Cannabinoid ResearchFrench-language works237,207