Direct Inhibitory Effects of Leptin on the Neonatal Adrenal and Potential Consequences for Brain Glucocorticoid Feedback
Bibliographic record
Abstract
Leptin is most studied for its primary role in the CNS control of energy balance and food intake in humans and rodents, yet it has functions on multiple target sites including the adrenal gland. In adult rodents, leptin has been shown to inhibit adrenal steroidogenesis and we have recently demonstrated that some of the mechanisms responsible for leptin-induced inhibition of adrenal glucocorticoid production, namely a reduction of StAR protein expression are already present in the neonatal adrenal gland. The effect of leptin on the neonatal adrenal gland integrates well with the previously demonstrated effect of this protein to inhibit stress responses, enhance glucocorticoid receptor expression in the CNS and sensitivity to glucocorticoid inhibitory feedback in neonates. The leptin receptor isoform and intracellular mechanisms involved in regulation of the adrenocortical activity at multiple levels might differ between target tissues (CNS vs periphery) and age (neonates vs adult). Neonatal leptin represents an important regulator of adrenocortical function during a critical period of brain development, which is exquisitely sensitive to circulating glucocortcoid concentrations. Since circulating leptin levels in neonates vary according to maternal diet, this protein can be viewed as a critical link between environmental and maternal factors and the developing physiology of the infant.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".