Caspase inhibitors increase short‐term survival of progenitor‐cell progeny in the adult rat dentate gyrus following status epilepticus
Bibliographic record
Abstract
The dentate gyrus (DG) is one of the few regions in the brain that continues to produce new neurons throughout adulthood. Seizures not only increase neurogenesis, but also lead to death of DG neurons. We investigated the relationship between cell death and neurogenesis following seizures in the DG of adult rats by blocking caspases, which are key components of apoptotic cell death. Multiple intracerebroventricular infusions of caspase inhibitors (pancaspase inhibitor zVADfmk, and caspase 3 and 9 inhibitor) prior to, just after, 1 day after, and 1 week following 2 h of lithium-pilocarpine-induced status epilepticus reduced the number of terminal deoxynucleotidyl transferase-mediated fluorescein-dUTP nick-end labelled (TUNEL) cells and increased the number of bromodeoxyuridine (BrdU) -stained proliferated cells in the subgranular zone at 1 week. The caspase inhibitor-treated group did not differ from control at 2 days or 5 weeks following the epileptic insult. Our findings suggest that caspases modulate seizure-induced neurogenesis in the DG, probably by regulating apoptosis of newly born neurons, and that this action can be suppressed transiently by caspase inhibitors. Furthermore, although previous studies have indicated that increased neuronal death can trigger neurogenesis, we show here that reduction in apoptotic death may be associated with increased neurogenesis.
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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 | 0.000 | 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".