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 control many vital aspects of physiology from the sleep-wake cycle to metabolism. The circadian clock operates through transcriptional-translational feedback loops. The normal circadian signaling relies on a ‘master clock’, located in the suprachiasmatic nucleus (SCN), which synchronizes peripheral oscillators. Here, glucocorticoid receptor (GR) signaling has the ability to reset the phase of peripheral clocks. It has been shown that maternal exposure to the stress hormone, glucocorticoids (GCs), can lead to modification of hypothalamic-pituitaryadrenal (HPA) function and impact stress-related behaviours and a hypertensive state via GR activation. We previously demonstrated altered circadian rhythm signaling in the adrenal glands of offspring exposed to the synthetic glucocorticoid, dexamethasone (Dex). Results from the current study show that prenatal exposure to Dex, affects circadian rhythm gene expression in a tissue and sex specific manner in molecular oscillators of the amygdala, hippocampus, paraventricular nucleus and prefrontal cortex as well as the main oscillator in the SCN. Results also show that spontaneously hypertensive rats (SHRs) exhibited dysregulated circadian rhythms in these same brain regions compared with normotensive Wistar-Kyoto rats (WKYs), although the pattern of dysregulation was markedly different from that 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 lipid and glutathione metabolism, increased triglyceride concentration and decreased purine metabolism while males saw increased purine metabolism and evidence of an adaptation for increased lipid metabolism.
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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 | 0.000 |
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".