MétaCan
Menu
Back to cohort
Record W2947814407 · doi:10.1016/j.jphs.2019.05.006

Characterization of binding of antipsychotics to muscarinic receptors using mouse cerebral cortex

2019· article· en· W2947814407 on OpenAlexfundno aff
Keisuke Obara, Saki Horiguchi, Toma Shimada, Takumi Ikarashi, Fumiko Yamaki, Kazuhiro Matsuo, Takashi Yoshio, Yoshio Tanaka

Bibliographic record

VenueJournal of Pharmacological Sciences · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsnot available
FundersFaculty of Pharmacy and Pharmaceutical Sciences, University of Alberta
KeywordsLevomepromazineOlanzapineAnticholinergicChlorpromazinePharmacologyClozapineQuetiapineMedicineAntipsychoticSchizophrenia (object-oriented programming)Internal medicineDopaminePsychiatryHaloperidol

Abstract

fetched live from OpenAlex

Antipsychotics are often the first-line treatment for behavioral and psychological symptoms of dementia. However, the potential anticholinergic effects of antipsychotics could counteract the therapeutic effects of cholinesterase inhibitors used to treat dementia. We investigated the inhibitory effects of 26 antipsychotics on [N-Methyl-3H]scopolamine specific binding in mouse cerebral cortex. At 10−5 M, chlorpromazine, levomepromazine, prochlorperazine, timiperone, zotepine, pimozide, blonanserin, olanzapine, quetiapine, and clozapine inhibited [N-Methyl-3H]scopolamine binding by > 45%. Furthermore, the pKi values of chlorpromazine, levomepromazine, zotepine, olanzapine, and clozapine overlapped with their clinically achievable blood concentrations. Therefore, the anticholinergic properties of these antipsychotics could attenuate the effects of cholinesterase inhibitors.

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)0.000
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 score0.009
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.133
GPT teacher head0.412
Teacher spread0.279 · 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

Citations12
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pharmacological SciencesSame topicNeuroscience and Neuropharmacology ResearchFrench-language works237,207