Melatonin promotes neurogenesis in dentate gyrus in the pinealectomized rat
Bibliographic record
Abstract
It was previously shown that pinealectomy causes delayed loss of pyramidal neurons in rat hippocampal layers CA1/3 and that this is reversed by melatonin supplementation. Here, we used immunohistologic detection of doublecortin, a protein expressed in newborn neurons, to determine if melatonin supplementation promotes neurogenesis after pinealectomy. It was found that melatonin supplementation significantly increased the number of doublecortin immunoreactive neurons in the dentate gyrus over the postsurgical intervals of 2, 4, 6, 8, 10 and 17 months. The increase was most evident at 6 months postsurgery and thereafter, and was apparent despite a severe decline in doublecortin-labeled cells over the 17 month postsurgical interval in all groups of rats. Doublecortin immunoreactive cells were not observed in the pyramidal layer itself. These results indicate that melatonin promotes neurogenesis in the dentate gyrus of pinealectomized rats. However, it is equivocal that these newborn neurons migrate to the pyramidal layer and account for the reappearance of neurons at this location in these rats. This study provides further evidence for a role of melatonin in promoting neurogenesis, adding another role to its already remarkably pleiotropic profile. The scope and significance of this newly discovered role remains to be determined.
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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 | 0.000 |
| 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".