Aging and Diets Regulate the Rat Anterior Pituitary and Hypothalamic Transcriptome
Bibliographic record
Abstract
Dietary interventions involving caloric restriction represent a powerful strategy to prevent or delay age-related deteriorations and diseases. Their beneficial effects have been observed in several tissues and species. This microarray study investigated the effects of aging, long-term moderate caloric restriction (LTMCR) and long-term dietary soy on the regulation of gene expression in the anterior pituitary and hypothalamus of 20-month-old Sprague-Dawley rats. In both tissues, aging regulated genes mainly involved in cell defense and repair mechanisms related to apoptosis, DNA repair, cellular stress, inflammatory and immune response. In the aging pituitary, the highest upregulated gene was the regenerating islet-derived 3β (5.77-fold), coding for a secretory protein involved in acute stress and inflammation. A protective effect of LTMCR on age-related change of gene expression was observed for 35 pituitary genes. In addition, beneficial effects of LTMCR in the pituitary were observed on new regulated genes mainly involved in cell death and cell stress response. In the hypothalamus, the effects of LTMCR on age-related changes were modest. Finally, changing the quality of dietary protein (20% casein for soy) had a low impact on the regulation of mRNA levels in both tissues. Genes associated with the somatotroph function were also differentially expressed in the aging pituitary. Interestingly, LTMCR prevented the effect of aging on insulin-like growth factor-binding protein-3 gene. Altogether, this study proposes novel pituitary and hypothalamic molecular targets and signaling pathways to help in understanding the mechanisms involved in aging processes and LTMCR.
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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) | 0.000 | 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 | 0.000 |
| 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".