Insulin‐like growth factor‐1 receptor immunoreactive cells are selectively maintained in the paraventricular hypothalamus of calorically restricted mice
Bibliographic record
Abstract
The mammalian lifespan is dramatically extended by both caloric restriction (CR) and insulin-like growth factor-1 (IGF-1) suppression. Both interventions involve neuroendocrine alterations directed by the hypothalamus. Yet, it remains unclear whether CR exerts its affects by altering central IGF-1 sensitivity. With this question in mind, we investigated the influence of CR and normal aging on hypothalamic IGF-1 sensitivity, by measuring the changes in IGF-1 receptor (IGF-1R) populations. Taking IGF-1 receptor (IGF-1R) immunoreactivity as an index of sensitivity to IGF-1, we counted IGF-1R immunoreactive and non-immunoreactive cells in the paraventricular nucleus (PVN) of Young-ad libitum fed (Young-Al, 6 weeks old), Old-ad libitum fed (Old-Al, 22 months old), and old calorically restricted (Old-CR, 22 months old) female B6D2F1 mice. An automated imaging microscopy system (AIMS) was used to generate cell counts for each cross-section of PVN hypothalamus. Ad libitum fed mice show a 37% reduction in IGF-1R immunoreactive cells and a 12% reduction in the total cell population of the PVN with aging. In comparison, caloric-restricted mice show a 33% reduction in IGF-1R immunoreactive cells and a notable 24% decrease in the total cell population with aging. This selective maintenance of IGF-1R expressing cells coupled with the simultaneous loss of non-immunoreactive cells, results in a higher percentage of IGF-1R immunoreactive cells in the PVNs of CR mice. Thus, the decline in the percentage of IGF-1 sensitive cells in the PVN with age is attenuated by CR.
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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 | 0.001 | 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".