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Record W4415551408 · doi:10.1007/s12264-025-01523-z

Emerging Roles of GluN3B NMDA Receptor Subunit in the Central Nervous System

2025· review· en· W4415551408 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

VenueNeuroscience Bulletin · 2025
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Natural Science Foundation of China
KeywordsCentral nervous systemNMDA receptorSynaptic plasticitySchizophrenia (object-oriented programming)Protein subunitNeurologyNeuroplasticityReceptor

Abstract

fetched live from OpenAlex

GluN3B is the most recently identified subunit of N-methyl-d-aspartate receptors (NMDARs), and gradually it has been found that it may be involved in regulating the development of central nervous system (CNS)-related diseases. Compared with the traditional NMDARs containing only GluN1 and GluN2 subunits, non-classical NMDARs with GluN3 have non-conventional biophysical, trafficking, and signaling properties. As a negative regulatory subunit that diminishes or inhibits classical NMDARs' functions, GluN3B plays important roles in synaptic plasticity and neuronal survival, and may be associated with CNS disorders such as schizophrenia and substance use disorders. However, the number and depth of studies on how GluN3B is involved in the regulation of related diseases are very limited. This review summarizes the expression and physiological characterization of GluN3B-NMDARs and provides an overview of their emerging roles in psychiatric and neuropsychiatric disorders, aiming to provide a basis for understanding disease mechanisms and developing novel therapeutic targets.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.005
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0060.001
Research integrity0.0000.002
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 head0.066
GPT teacher head0.371
Teacher spread0.304 · 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