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Record W4415146982 · doi:10.1016/j.isci.2025.113560

Oligodendrocyte precursor cell AMPA receptors differ with age and brain region while kainate receptors remain stable

2025· article· en· W4415146982 on OpenAlexfundno aff
Yasmine Kamen, Kimberley Anne Evans, Yan Ting Ng, Sabine Dietmann, Ragnhildur Thóra Káradóttir

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsnot available
FundersH2020 European Research CouncilEuropean Research CouncilFonds de Recherche du Québec - SantéMedical Research CouncilIcelandic Centre for ResearchWellcome TrustLister Institute of Preventive MedicineMultiple Sclerosis SocietyHorizon 2020 Framework ProgrammeMultiple Sclerosis TrustUK Research and Innovation
KeywordsKainate receptorAMPA receptorGlutamate receptorReceptorKainic acidOligodendrocytePrecursor cellNeuroglia

Abstract

fetched live from OpenAlex

Oligodendrocyte precursor cells (OPCs) proliferate and differentiate into myelinating oligodendrocytes throughout life. Many cues modulate OPC proliferation and differentiation, including neuronal activity, which OPCs sense through voltage-gated ion channels and glutamate receptors. However, OPCs display regional and temporal diversity in the membrane surface expression of these channels and receptors, altering their capacity to sense and respond to neuronal activity. Here, we use whole-cell patch-clamp in acute brain slices and bath-apply 3 μM kainate or 10 μM AMPA to investigate the heterogeneity in kainate and AMPA receptor membrane surface expression. We find that, while kainate receptor current density remains stable with age, OPCs do not respond to neuronal kainate receptor-specific drugs. In contrast, AMPA receptor current density differs with age and between regions, likely due to altered Ca 2+ permeability and receptor desensitization. The temporal changes in AMPA-evoked currents in OPCs correlate with reported age-related changes in proliferation and differentiation potential.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.232
Teacher spread0.211 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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