Estradiol initially enhances but subsequently suppresses (via adrenal steroids) granule cell proliferation in the dentate gyrus of adult female rats
Bibliographic record
Abstract
In the dentate gyrus of adult female meadow voles, a high dose of estradiol benzoate (EB) increases (within 4 h) then decreases (within 48) the number of dividing progenitor cells (Ormerod BK, Galea LAM. 2001. Reproductive status regulates cell proliferation within the dentate gyrus of the adult female meadow vole: A possible regulatory role for estradiol. Neurosci 2:169-179). We investigated whether time-dependent EB exposure differentially influences the number of new granule cells produced in the adult female rat dentate gyrus and whether EB-stimulated adrenal activity mediates the decrease in cell proliferation. Ovariectomized rats received either an EB (10 microg in 0.1 mL) or vehicle (0.1 mL) injection either 4 or 48 h (Experiment 1) before a BrdU injection (200 mg/kg) and were perfused 24 h later to assess the number of new cells. Relative to vehicle, the number of new cells increased following a 4 h exposure (p < or = 0.04) but decreased following a 48 h exposure (p < or = 0.006) to EB. In Experiment 2, the number of new cells within the dentate gyrus of ovariectomized and adrenalectomized females did not significantly differ between groups exposed to EB versus vehicle for 48 h prior to BrdU administration, suggesting the decreased number of new cells observed within the dentate gyrus of adrenal-intact adult female rats is mediated by EB-stimulated adrenal activity. We conclude that estradiol dynamically regulates cell proliferation within the dentate gyrus of adult female rats in the time-dependent manner observed previously in voles and suppresses cell proliferation by influencing adrenal steroids. Investigating how estradiol dynamically regulates neurogenesis could provide insight into the mechanisms by which the proliferation of progenitor cells is controlled within the adult rodent hippocampus.
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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".