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Record W2206978515 · doi:10.1159/000435933

Biogenic Amines and the Amino Acids GABA and Glutamate: Relationships with Pain and Depression

2015· review· en· W2206978515 on OpenAlexfundno aff
Curtis A. Benson, Katherine A. Mifflin, Bradley J. Kerr, Sam Joshva Baskar Jesudasan, Serdar Dursun, Glen B. Baker

Bibliographic record

VenueModern trends in psychiatry · 2015
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsNeurochemicalMonoamine neurotransmitterGlutamatergicGlutamate receptorDopamineNeuroscienceGABAergicSerotoninChronic painDepression (economics)MoodAnxietyNorepinephrineMedicinePsychologyPharmacologyPsychiatryInternal medicineReceptor

Abstract

fetched live from OpenAlex

Although it is well known that there is a high degree of comorbidity between chronic pain and mood and anxiety disorders, the mechanisms involved in these co-occurrences are not clear. It appears that numerous neurotransmitters and neuromodulators are involved, and this chapter focuses on the monoamine neurotransmitters noradrenaline, 5-hydroxytryptamine (5-HT, serotonin), and dopamine and the amino acid neurotransmitters GABA (γ-aminobutyric acid) and glutamate in chronic pain and depression. Numerous preclinical and clinical neurochemical, neuroanatomical, pharmacological and molecular biological studies as well as clinical pharmacological treatment investigations implicate noradrenaline, 5-HT and, to a lesser extent, dopamine in the etiology of pain and depression. Similarly, preclinical and clinical studies on GABAergic and glutamatergic mechanisms as well as reports on the actions of neuroactive steroids suggest that GABA and glutamate play an important role in the etiology of pain and depression and may contribute to comorbidity.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.955
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.047
GPT teacher head0.322
Teacher spread0.275 · 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 designOther design
Domainnot available
GenreReview

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

Citations56
Published2015
Admission routes1
Has abstractyes

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