A novel role for calcium‐independent phospholipase A<sub>2</sub> in α‐amino‐3‐hydroxy‐5‐methylisoxazole‐propionate receptor regulation during long‐term potentiation
Bibliographic record
Abstract
A considerable body of evidence indicates that phospholipase A(2) (PLA(2)) enzymes participate in long-term potentiation (LTP) of excitatory synaptic transmission. In the present study, we have undertaken experiments to identify which calcium-independent isoform of PLA(2) is involved in synaptic plasticity and to determine whether calcium-independent PLA(2) (iPLA(2)) contributes to post-synaptic processes of LTP. Using field recordings from rat CA1 hippocampal slices, we found that theta-burst stimulation (TBS)-induced LTP of field excitatory post-synaptic potentials (fEPSPs) was abolished by the iPLA(2) inhibitor bromoenol lactone (BEL) but not by the Ca(2+)-dependent PLA(2) inhibitor arachidonyl trifluoromethyl ketone (AACOCF(3)). The ionic currents generated during TBS were not affected during iPLA(2) inhibition as BEL by itself had no effect on the magnitude of facilitation during burst responses. In addition, (R)-BEL, an enantioselective inhibitor of iPLA(2)gamma, precluded TBS-induced LTP, an action that was not replicated by the iPLA(2)beta inhibitors (S)-BEL and methyl arachidonyl fluorophosphonate. (R)-BEL was, however, ineffective on pre-established LTP. Finally, BEL also prevented the potentiation of fEPSPs elicited by brief exposure to 50 microM N-methyl-d-aspartate, as well as the associated up-regulation of alpha-amino-3-hydroxy-5-methylisoxazole-propionate (AMPA) receptor GluR1 subunit levels and the increase of (3)H-AMPA binding in crude synaptic fractions. Collectively, these results unravel a new role for iPLA(2)gamma in LTP, which appears to favor the insertion of AMPA receptors at post-synaptic membranes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".