Prenatal Glucocorticoid Exposure Alters Hypothalamic‐Pituitary‐Adrenal Function in Juvenile Guinea Pigs
Bibliographic record
Abstract
The neurodevelopmental consequences of prenatal glucocorticoid exposure are not well-understood, particularly in species that give birth to neuroanatomically mature offspring. In the present study, we hypothesised that repeated prenatal glucocorticoid administration would alter hypothalamo-pituitary-adrenal (HPA) function in juvenile guinea pig offspring. Pregnant guinea pigs were injected with betamethasone (1 mg/kg) or vehicle on gestational days 40, 41, 50, 51, 60 and 61 (six doses). Prenatal glucocorticoid exposure abolished the pituitary-adrenal response to maternal separation in juvenile males, but had no effect in female offspring. Indeed, female offspring (vehicle and betamethasone) did not mount a significant HPA response to separation at 10 days of age. Although there were no effects of prenatal glucocorticoid exposure on hippocampal or hypothalamic corticosteroid receptor expression or corticotrophin-releasing factor (CRF) mRNA, there were significant effects in the pituitary and adrenal; again males were more affected than females. Prenatal glucocorticoid exposure increased pituitary pro-opiomelanocortin and CRF receptor mRNA, and markedly decreased adrenocortical CYP17 mRNA. In conclusion, repeated prenatal glucocorticoid exposure has profound influences on HPA function and regulation in the juvenile guinea pig, and this involves altered regulation at the level of the pituitary and adrenal cortex. Furthermore, juvenile males appear to be more vulnerable to the effects of prenatal glucocorticoid exposure than females.
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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".