Kindling alters neurosteroid‐induced modulation of phasic and tonic GABA<sub>A</sub>receptor‐mediated currents: role of phosphorylation
Bibliographic record
Abstract
We have previously shown that after kindling (a model of temporal lobe epilepsy), the neuroactive steroid tetrahydrodeoxycorticosterone (THDOC) was unable to augment GABA type A receptor (GABA(A))-mediated synaptic currents occurring on pyramidal cells of the piriform cortex. Phosphorylation of GABA(A) receptors has been shown previously to alter the activity of THDOC, so we tested the hypothesis that kindling induces changes in the phosphorylation of GABA(A) receptors and this accounts for the loss in efficacy. To assay whether GABA(A) receptors are more phosphorylated after kindling, we examined the phosphorylation state of the β3 subunit and found that it was increased. Incubation of brain slices with the protein kinase C activator phorbol 12-myristate 13-acetate (PMA) (100 nM) also increased phosphorylation in the same assay. In patch clamp, recordings from non-kindled rat brain slices PMA also reduced the activity of THDOC in a manner that was identical to what is observed after kindling. We also found that the tonic current was no longer augmented by THODC after kindling and PMA treatment. The protein kinase C (PKC) antagonist bisindolylmaleimide I blocked the effects PMA on the synaptic but not the tonic currents. However, the broad spectrum PKC antagonist staurosporine blocked the effects of PMA on the tonic currents, implying that different PKC isoforms phosphorylate GABA(A) receptors responsible for phasic and tonic currents. The phosphatase activator Li(+) palmitate restored the 'normal' activity of THDOC on synaptic currents in kindled brain slices but not the tonic currents. These data demonstrate that kindling enhances the phosphorylation state of GABA(A) receptors expressed in pyramidal neurons reducing THDOC efficacy.
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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) | 0.002 | 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".