Static, transient and permanent organization of GABA<sub>A</sub> receptor expression in calbindin‐positive interneurons in response to amygdala kindled seizures
Bibliographic record
Abstract
We tested the hypothesis that experimentally produced epilepsy (by kindling) may induce changes in GABAA receptor expression in some but not all interneuron populations. Using laser capture microdissection and quantitative polymerase chain reaction (QPCR) analysis, GABAA receptor alpha subunit expression in calbindin- (CBir) and parvalbumin- (Parvir) immunoreactive interneurons was compared between normal brains and brains in which amygdala kindled seizure responses were permanently established. Two weeks after the last seizure response, Cbir neurons in the hilus and/or perirhinal cortex up-regulated the expression of alpha2, alpha3 and alpha5 subunit mRNAs up to 900%. In contrast, no changes were found in Parvir neurons. In Cbir neurons contralateral to the amygdala kindling site alpha1 subunit mRNA expression was increased. In both Cbir and Parvir neurons, the coordinated subunit expression patterns ipsilateral (fully kindled) and contralateral (partially kindled) to the kindling site suggested that permanent and transient co-expressional relationships occur respectively. In the perirhinal cortex alpha2 protein was up-regulated in the processes but not in the cell somas of calbindin-positive neurons, whereas alpha3 subunit protein expression was up-regulated on the cell bodies of Cbir neurons in the hilus. These data indicate that different interneuron populations may selectively reorganize their GABAA subunit expression in response to seizures.
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 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".