Callosal oligodendrocyte number in postpartum Sprague-Dawley rats
Bibliographic record
Abstract
Prolactin (PRL), an anterior pituitary hormone with neurogenic properties associated with pregnancy, has been implicated in oligodendrocyte proliferation during gestation, contributing to increased myelination in the maternal brain. However, PRL is elevated during lactation as well, suggesting that the postpartum (PP) period may contribute to additional gliogenesis in lactating females. In the present study, we assessed oligodendrocyte number in the corpus callosum (CC) of female Sprague-Dawley rats near the end of gestation, and at two weeks postpartum in both lactating and non-lactating dams, and in virgins. Though pregnant females did not differ significantly from any other group, lactating females had significantly more oligodendrocytes in the CC than virgins (p=.01), and in medial regions of the CC than non-lactating dams (p<.02). Oligodendrocyte number in the CC of pregnant and PP females correlated positively with the number of pups in their litter (r(2)=.68, p<.005). These results suggest that the gestational period contributes to oligodendrocyte proliferation or survival, likely mediated by an endocrine hormone whose concentration varies with the size of the litter. The PP period also contributes to increases in CC oligodendrocyte number, though it is unclear whether endocrine influences and/or pup-interaction underlie the differences in myelination between lactating and non-lactating groups. Further investigation is required in order to confirm whether the effects observed are mediated by members of the PRL-family, experience, and/or other gestational/PP endocrine hormones.
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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 | 0.001 | 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".