Glial Cell Line-Derived Neurotrophic Factor Modulates Kindling and Activation-Induced Sprouting in Hippocampus of Adult Rats
Bibliographic record
Abstract
Kindling, a phenomenon in which repeated electrical stimulation of certain forebrain structures leads to an increase in the evoked epileptogenic response, is widely used to investigate the mechanisms of epilepsy. Kindling also results in sprouting of the dentate gyrus mossy fiber pathway and triggers astrocyte hypertrophy and increased volume of the hilus of the dentate gyrus. Our previous studies showed that infusion of the neurotrophin nerve growth factor accelerated the behavioral progression of amygdala kindling and affected kindling-induced structural changes in the brain, whereas intrahilar infusion of another neurotrophin, brain-derived neurotrophic factor, delayed amygdala kindling-induced seizure development and reduced the growth in afterdischarge duration, but had little effect on kindling-induced structural changes. In this paper, we report the effects of infusion of glial cell line-derived neurotrophic factor, a neurotrophic factor of the TGF-beta superfamily having similar central nervous system neuronal targets as brain-derived neurotrophic factor. We show that continuous intraventricular infusion of glial cell line-derived neurotrophic factor inhibits the behavioral progression of perforant path kindling-induced seizures without affecting afterdischarge duration. In addition, we demonstrate that intraventricular administration of glial cell line-derived neurotrophic factor prevents kindling-induced increases in hilar area and blocks mossy fiber sprouting in the CA3 region of the hippocampus. Glial cell line-derived neurotrophic factor did not have a statistically significant effect on the mossy fiber density in the inner molecular layer. Our results raise the possibility that glial cell line-derived neurotrophic factor plays a role in kindling and activation-induced neural growth via mechanisms distinct from those of the neurotrophins.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".