Calcium‐independent phospholipase A<sub>2</sub> influences AMPA‐mediated toxicity of hippocampal slices by regulating the GluR1 subunit in synaptic membranes
Bibliographic record
Abstract
We have recently documented that phosphorylation of the GluR1 subunit of alpha-amino-3-hydroxy-5-methylisoxazole-propionate (AMPA) glutamate receptors is influenced by calcium-independent forms of phospholipase A(2) (iPLA(2)) activity in the brain. Given the importance of GluR1 subunit phosphorylation in the control of AMPA receptor delivery to synaptic membranes, we tested the influence of iPLA(2) activity on AMPA receptor distribution between neuronal compartments, using organotypic cultured hippocampal slices. In agreement with earlier reports, the iPLA(2) inhibitor bromoenol lactone (BEL) markedly enhanced the phosphorylation of the GluR1 subunit at both Ser831 and Ser845 residues. GluR1 subunit phosphorylation levels were selectively increased by (R)-BEL, an enantio-selective inhibitor of iPLA(2)gamma, but not by (S)-BEL, an iPLA(2)beta inhibitor. The iPLA(2)gamma inhibitor R-BEL also promoted the insertion of new GluR1 subunits into synaptic membranes and exacerbated AMPA-mediated cell death in the CA1 region of the hippocampus. The latter effect was selectively abolished by IEM 1460 and philanthotoxin-433, two antagonists specific for AMPA receptors lacking GluR2 subunits. These results provide evidence that iPLA(2)gamma-related regulation of AMPA receptor GluR1 subunit phosphorylation could represent an important mechanism modulating hippocampal cell death induced by AMPA receptor overstimulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".