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Contribution of glutamate receptors to brain-derived neurotrophic factor-induced elevation of intracellular Ca2+levels

2005· article· en· W2000668716 on OpenAlexaff
Benduan Yang, Qiang Gu

Bibliographic record

VenueNeuroreport · 2005
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMetabotropic glutamate receptorGlutamate receptorBrain-derived neurotrophic factorNeurotrophic factorsAMPA receptorNMDA receptorLong-term depressionNeuroscienceReceptorGlutamatergicMetabotropic receptorMetabotropic glutamate receptor 1NeurotrophinBiologyExcitatory postsynaptic potentialChemistryEndocrinologyInternal medicineMedicineBiochemistryInhibitory postsynaptic potential

Abstract

fetched live from OpenAlex

In the present study, acute effects of brain-derived neurotrophic factor (BDNF) on intracellular calcium concentration ([Ca2+]i) in cultured visual cortical neurons were investigated. We examined specifically whether pharmacological blockade of glutamatergic receptors interfered with effects of BDNF on [Ca2+]i. We found that blockade of N-methyl-D-aspartate (NMDA) receptors significantly reduced the number of BDNF-responsive neurons, while inhibition of metabotropic glutamate receptors (mGluR) completely prevented the effect of BDNF. By contrast, blockade of alpha-amino-3-hydroxy-5-methyl-4-isoxasole propionic acid (AMPA) receptors did not affect the BDNF-induced increase of [Ca2+]i. Our results thus suggest that glutamate-mediated excitatory pathways are involved in the BDNF-induced rise of [Ca2+]i in visual cortical neurons, and that both mGluR and NMDA receptors play a critical role in this event.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.015
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.044
GPT teacher head0.290
Teacher spread0.246 · 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

Citations9
Published2005
Admission routes1
Has abstractyes

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