Divergent GABA<sub>A</sub>Receptor-Mediated Synaptic Transmission in Genetically Seizure-Prone and Seizure-Resistant Rats
Bibliographic record
Abstract
Recent evidence suggests that abnormal expression of GABA(A) receptors may underlie epileptogenesis. We observed previously that rats selectively bred to be seizure-prone naturally overexpressed, as adults, GABA alpha subunits (alpha2, alpha3, and alpha5) seen at birth, whereas those selected to be seizure-resistant overexpressed the adult, alpha1 subunit. In this experiment, we gathered GABA miniature IPSCs (mIPSCs) from these strains and correlated their attributes with the subunit expression profile of each strain compared with a normal control strain. The mIPSCs were collected from both cortical pyramidal and nonpyramidal neurons. In seizure-prone rats, mIPSCs were smaller and decayed more slowly than in normal rats, which in turn were smaller and slower than in seizure-resistant rats. A detailed analysis of individual mIPSCs revealed two kinds of postsynaptic responses (those with monoexponential vs biexponential decay) that were differentially altered in the three strains. The properties of monoexponentially decaying mIPSCs did not differ between pyramidal and nonpyramidal neurons within a strain but differed between strains. In contrast, an interaction was observed between cell morphology and strain for biexponentially decaying mIPSCs. Here, the mIPSCs of pyramidal neurons in the seizure-resistant rats formed a distinct subpopulation compared with the seizure-prone rats; yet in the latter rats, it was the mIPSCs of the nonpyramidal neurons that were unique. Given these differences, we were surprised to find that the total inhibitory charge transfer between the strains was similar. This suggests that the timing of inhibition, particularly slow inhibitory neurotransmission between nonpyramidal neurons, may be a contributing factor in seizure genesis.
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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 | 0.001 | 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".