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Record W2028148797 · doi:10.2174/157488707779318107

The Potential of Trace Amines and Their Receptors for Treating Neurological and Psychiatric Diseases

2007· review· en· W2028148797 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReviews on Recent Clinical Trials · 2007
Typereview
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsBrandon University
Fundersnot available
KeywordsMonoamine neurotransmitterReceptorTryptamineBiogenic amineOctopamine (neurotransmitter)DopamineTRACE (psycholinguistics)NeuroscienceChemistryPharmacologyMedicineSerotoninBiologyBiochemistry

Abstract

fetched live from OpenAlex

Mining of the human genome has revealed approximately 7000 novel proteins, which could serve as potential targets for the development of novel therapeutics. Of these, approximately 2000 are predicted to be G-protein coupled receptors. Within this group of proteins, a family of 18 mammalian receptors has recently been identified that appear to exhibit selectivity toward the so-called trace amines. The trace amines are a family of endogenous compounds with strong structural similarity to classical monoamine neurotransmitters, consisting primarily of 2-phenylethylamine, m- and p-tyramine, tryptamine, m- and p-octopamine and the synephrines. The endogenous levels of these compounds are at least two orders of magnitude below those of neurotransmitters such as dopamine, noradrenaline and 5-HT. The effects of these low physiological concentrations have been difficult to demonstrate but it has been suggested that they may serve to maintain the neuronal activity of monoamine neurotransmitters within defined physiological limits. Such an effect of trace amines would make them ideal candidates for the development of novel therapeutics for a wide range of human disorders. Although the demonstration of a trace amine family of receptors has seen a resurgence of interest in these endogenous compounds, with recent articles reviewing trace amine pharmacological and physiological responses, the potential clinical utility of the trace amine receptors has not been specifically addressed. Historically, trace amines have been implicated in a diverse array of human pathologies ranging from schizophrenia to affective disorders to migraine. Recent studies have strengthened some of this historical data by linking trace amine receptor polymorphisms and mutations to distinct clinical conditions. The aim of the current article is to review the previous studies linking trace amines to human pathology in the context of the recently discovered trace amine receptors and evidence of the existence of trace amine receptor polymorphisms and mutations associated with such disorders. In addition, recent evidence linking trace amines to the development of drug dependence will be discussed.

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.

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)0.011
metaresearch head score (Gemma)0.122
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.122
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
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 head0.683
GPT teacher head0.522
Teacher spread0.161 · 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