Prenatal Glucocorticoid Modifies Hypothalamo-Pituitary-Adrenal Regulation in Prepubertal Guinea Pigs
Bibliographic record
Abstract
We hypothesized that exposure to synthetic glucocorticoid during rapid brain growth (d50-52, birth = 68 days) in fetal guinea pigs modifies hypothalamo-pituitary-adrenal (HPA) function after birth, and that this involves changes in central corticosteroid receptor regulation. On the basis of our previous studies, we proposed that this effect is sex-specific. Pregnant guinea pigs were treated with dexamethasone (1 mg/kg) or vehicle on d50-51 of gestation, and juvenile offspring were euthanized at rest or following isolation stress on postnatal day 18. Dexamethasone increased the length of gestation (1.5 days) and altered body and organ (brain, heart, adrenal) growth. Resting plasma cortisol concentrations were significantly elevated in young male, but not female guinea pigs exposed to dexamethasone as fetuses. In female offspring born to dexamethasone-treated mothers, cortisol responses to isolation stress were attenuated. In males, elevated basal cortisol levels were not increased further by isolation. In the brain, hippocampal glucocorticoid receptor (GR) mRNA levels were significantly lower (10-25%) in females exposed to dexamethasone in utero. In contrast, GR mRNA levels were elevated (10-20%) in males from this prenatal treatment group. Mineralocorticoid receptor mRNA in the limbic system and GR mRNA levels in the pars distalis were unaffected. Pro-opiomelanocortin mRNA was significantly lower (30%) in the male pars intermedia following dexamethasone exposure. In conclusion, prenatal glucocorticoid exposure affects growth and HPA function as well as limbic and hypothalamic GR expression in juvenile offspring, and these effects are highly sex-specific.
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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".