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Record W2072694184 · doi:10.1002/wmts.52

Desensitization and internalization mechanisms of the 5‐HT4 receptors

2012· article· en· W2072694184 on OpenAlexaff
Ouissame Mnie‐Filali, Graciela Piñeyro

Bibliographic record

VenueWiley Interdisciplinary Reviews Membrane Transport and Signalling · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de Montréal
Fundersnot available
KeywordsInternalizationDesensitization (medicine)5-HT4 receptorReceptorG protein-coupled receptorSerotoninAgonist5-HT receptorNeurosciencePharmacologyAntidepressantBiologyMedicineInternal medicineHippocampus

Abstract

fetched live from OpenAlex

Abstract The serotonin 5‐HT4 receptor is a member of the superfamily of G‐protein‐coupled receptors (GPCRs) that mediates many physiological effects in the central nervous system and its periphery. Recently, a 5‐HT4 receptor agonist was shown to produce faster antidepressant‐like response in animal models in comparison to conventional antidepressants, and this effect persists for at least 2 weeks of treatment without generating tolerance. Importantly, long‐term administration of various classes of antidepressants has been reported to induce desensitization and/or downregulation of 5‐HT4 receptors in brain areas implicated in the physiopathology of depression. These observations point to the importance of studying the mechanisms of desensitization and regulation of the 5‐HT4 receptors since they seem distinctively implicated in therapeutic response to the classical selective serotonin reuptake inhibitors (SSRIs) and novel faster acting antidepressants. Hence, desensitization and internalization mechanisms of the 5‐HT4 receptors have been characterized with special emphasis on the 5‐HT4a and 5‐HT4b isoforms. WIREs Membr Transp Signal 2012, 1:779–788. doi: 10.1002/wmts.52 For further resources related to this article, please visit the WIREs website .

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 score0.181
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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