Effects of prenatal stress on circadian rhythms and metabolism in adult rat offspring
Bibliographic record
Abstract
Circadian clocks developed in organisms as a way of estimating the time of day and \ncontrol many vital aspects of physiology from the sleep-wake cycle to metabolism. The \ncircadian clock operates through transcriptional-translational feedback loops. The normal \ncircadian signaling relies on a ‘master clock’, located in the suprachiasmatic nucleus (SCN), \nwhich synchronizes peripheral oscillators. Here, glucocorticoid receptor (GR) signaling has \nthe ability to reset the phase of peripheral clocks. It has been shown that maternal exposure to \nthe stress hormone, glucocorticoids (GCs), can lead to modification of hypothalamic-pituitaryadrenal (HPA) function and impact stress-related behaviours and a hypertensive state via GR \nactivation. We previously demonstrated altered circadian rhythm signaling in the adrenal \nglands of offspring exposed to the synthetic glucocorticoid, dexamethasone (Dex). Results \nfrom the current study show that prenatal exposure to Dex, affects circadian rhythm gene \nexpression in a tissue and sex specific manner in molecular oscillators of the amygdala, \nhippocampus, paraventricular nucleus and prefrontal cortex as well as the main oscillator in \nthe SCN. Results also show that spontaneously hypertensive rats (SHRs) exhibited \ndysregulated circadian rhythms in these same brain regions compared with normotensive \nWistar-Kyoto rats (WKYs), although the pattern of dysregulation was markedly different from \nthat seen in the Dex model. Metabolomic and gene expression results in the livers of GCexposed offspring revealed sex specific metabolic profiles with females displaying increased \nlipid and glutathione metabolism, increased triglyceride concentration and decreased purine \nmetabolism while males saw increased purine metabolism and evidence of an adaptation for \nincreased lipid metabolism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".