The effect of life‐long caloric restriction on alpha motoneuron numbers in aged rats
Bibliographic record
Abstract
The objective of this study was to determine if caloric restriction (CR) attenuates the age‐related loss of alpha‐motoneurons (α‐mns). Rats were either fed ad libitum (oldAL) or a fortified CR (40% reduction) diet from 14 weeks of age (oldCR). A control group of young free eating rats (youngAL) was also studied. Rat lumbar enlargements were sectioned at 15 μm and every sixth section for 3mm was used for immunohistochemistry. Choline acetyltransferase (ChAT) ‐ positive neurons in the ventrolateral horn larger than 15 micrometers ( μm) in diameter and each having a clear soma and nucleus were sized and counted. Results demonstrated a significant age effect (p < 0.05) on the total number of α‐mns (diameter = 25 μm). A decrease of 28% in α‐mn numbers was found in the old (31 months) rats compared to the young (8.5 months) rats. No age effect was evident on the total number of gamma‐mns (diameter < 25 μm). While CR attenuated the loss of muscle mass with age, there was no effect on age‐related mn loss since there was no difference between the total number of alpha or gamma mns between the oldCR and oldAL rats. Caloric restriction, while attenuating age‐associated changes in muscle mass and brain apoptosis markers, does not attenuate the decline in mn numbers in the rat lumbar spinal cord. Supported by funds from CIHR and MHRC
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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 | 0.000 |
| 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".