Selenium deficiency impairs corticosterone and leptin responses to adrenocorticotropin in the rat
Bibliographic record
Abstract
Selenium deficiency causes oxidative stress and impairs steroidogenesis in vitro. Leptin is closely related to the hypothalamo-pituitary-adrenal (HPA) axis. Leptin inhibits the HPA axis at the central level while corticosteroids have been shown to stimulate leptin secretion in most studies. We hypothesized that oxidative stress impairs adrenal steroidogenesis and decreases leptin production in vivo. The goal of this study was to investigate in rats the effects of selenium deficiency and oxidative stress on adrenal function and on leptin concentrations. Weanling rats were fed a selenium-deficient (Se-) or selenium-sufficient (Se+) diet for 4-10 weeks. Selenium deficiency caused a marked decrease in liver (> or = 99%) and adrenal (> or = 81%) glutathione peroxidase (GPx) activities. Selenium deficiency did not affect basal and short-term adrenocorticotropin (ACTH) stimulated corticosterone or leptin concentrations. In contrast, after long-term ACTH stimulation, selenium deficiency caused a doubling in adrenal isoprostane content and blunted the increase in corticosterone and leptin concentrations observed in Se+ animals. Plasma leptin concentrations were 50% lower in Se- compared to Se+ animals following long-term ACTH. Our results suggest that oxidative stress causes a decrease in circulating corticosterone in response to ACTH, and, as a consequence, a decrease in plasma leptin concentrations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".