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Zinc in Neurotransmission

2011· review· en· W2144484269 on OpenAlexaff
Katalin Tóth

Bibliographic record

VenueAnnual Review of Nutrition · 2011
Typereview
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGlutamatergicNeurotransmissionGlutamate receptorExcitatory postsynaptic potentialNeuroscienceZincSynaptic vesiclePostsynaptic potentialBiologyInhibitory postsynaptic potentialSynaptic plasticityChemistryReceptorBiochemistryVesicle

Abstract

fetched live from OpenAlex

A subset of glutamatergic synapses in the central nervous system contains zinc; it is sequestered into the lumen of synaptic vesicles, where it colocalizes with glutamate. Extracellularly applied zinc is known to interact with various postsynaptic receptors and channels; however, the role of endogenous vesicular zinc is still an enigma. The aim of this review is to present the physiology of tonic and phasic zinc modulation of excitatory and inhibitory signals and to discuss the potential role of zinc in synaptic plasticity. Zinc homeostasis is known to be altered under pathological conditions. The importance of the careful investigation of the potential sources of zinc involved in physiological and pathological processes is highlighted.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.069
GPT teacher head0.410
Teacher spread0.341 · 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

Citations101
Published2011
Admission routes1
Has abstractyes

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