Elevated Corticosterone Levels During the First Postpartum Period Influence Subsequent Pregnancy Outcomes and Behaviours of the Dam
Bibliographic record
Abstract
Postpartum depression affects 15% of new mothers and previous depressive episodes increase the risk for postpartum depression. Chronic administration of corticosterone (CORT) to dams during the postpartum period causes depressive-like behaviour and has been used as a model of postpartum depression. To better understand the subsequent progress of this model, we examined whether there were persistent effects of CORT treatment during the dam's first postpartum period on maternal care and mood following a subsequent pregnancy. Sprague-Dawley female rats received either sesame oil (control) or CORT (40 mg/kg) injections for 22 days during their first postpartum period. Subsequently, all females were re-mated for a second time and neither group received treatment during the second postpartum period. Maternal care was observed from days 2-8 of each postpartum period and dams were tested in the forced-swim test on days 21 and 22 of the first and days 4 and 21 of the second postpartum period. As expected, the amount of time spent immobile in the forced-swim test was increased in CORT dams at the end of the first postpartum period; however, the amount of time spent immobile was decreased at the end of the second postpartum period relative to oil dams. Furthermore, dams treated with CORT in first postpartum period gave birth to a smaller litter with a larger male/female sex ratio after their second pregnancy. This implies that elevated stress hormone levels during the first postpartum period have a substantial influence on subsequent postpartum behaviour and litter characteristics. Further investigations are necessary to fully understand the effect of parity, experience during first motherhood, and hypothalamic-pituitary-adrenal axis regulation on postpartum depression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".