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Metabotropic Glutamate Receptors: Gatekeepers of Homeostasis

2010· review· en· W2012463514 on OpenAlexafffund
J. Brent Kuzmiski, Jaideep S. Bains

Bibliographic record

VenueJournal of Neuroendocrinology · 2010
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsMetabotropic glutamate receptorMetabotropic receptorGlutamate receptorEndocrinologyInternal medicineHomeostasisReceptorChemistryNeuroscienceMedicineBiology

Abstract

fetched live from OpenAlex

The capacity to appropriately respond to physiological challenges or perturbations in homeostasis is a requisite for survival. It is becoming increasingly clear that long-lasting alterations in synaptic efficacy are a fundamental mechanism for modifying neuroendocrine and autonomic output. We review recent advances in our understanding of plasticity at glutamate synapses onto magnocellular neurones (MNCs) in the paraventricular and supraoptic nuclei of the hypothalamus, with a focus on the contributions of metabotropic glutamate receptors (mGluRs) to long-lasting modifications in synaptic efficacy. Special attention is paid to the role of presynaptic mGluRs as gatekeepers for metaplasticity and regulation of body fluid homeostasis. The work highlighted here provides insight into the synaptic mechanisms that couple MNC activity to physiological states.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.118
GPT teacher head0.405
Teacher spread0.287 · 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 designNot applicable
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

Citations22
Published2010
Admission routes2
Has abstractyes

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