Glucocorticoids Do Not Alter Developmental Expression of Hippocampal or Pituitary Steroid Receptor Coactivator-1 and -2 in the Late Gestation Fetal Guinea Pig
Bibliographic record
Abstract
Steroid receptor coactivator (SRC) proteins interact with glucocorticoid receptors in a ligand-dependent manner to enhance transcription. Although glucocorticoids are essential for normal brain maturation, little is known about the presence or regulation of SRC proteins in the developing central nervous system. In the current study we demonstrated that SRC-1 was highly expressed in the fetal limbic system (hippocampal CA3>CA1/2>CA4>dentate gyrus) at gestational d (gd) 40 (term, approximately 70 d), whereas SRC-2 was undetectable at all time points. Hippocampal SRC-1 mRNA and protein expression were reduced in male and female fetuses with advancing gestation. In contrast, SRC-1 mRNA levels increased significantly in the dentate gyrus near term. Repeated maternal injection (1 or 10 mg/kg on gd 40, 41, 50, 51, 60, and 61) with synthetic glucocorticoid had no effect on fetal limbic SRC-1 expression at gd 62 in either sex. SRC-1 and SRC-2 mRNA expression in the anterior pituitary did not change over the second half of gestation and was unaffected by prenatal exposure to synthetic glucocorticoid. In conclusion, SRC-1 expression undergoes spatial, temporal, and region-specific regulation during development, and limbic and pituitary SRC-1 and SRC-2 are not regulated by glucocorticoids in late gestation. Developmental changes in limbic SRC-1 expression probably have important consequences on steroid receptor signaling, which is known to be critical for brain maturation in late gestation.
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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) | 0.002 | 0.001 |
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".