Effect of memantine and combination with vitamin D enrichment on body composition in APP/PS1 Alzheimer’s mice following vitamin D deprivation
Bibliographic record
Abstract
Abstract Background Vitamin D (vitD) deficiency and changes in body composition are frequently observed in Alzheimer’s disease (AD). The combination of memantine and vitD has been shown to protect cortical axons from glutamate toxicity and beta‐amyloid in AD. Further to these central effects, vitD and memantine may act peripherally to alter metabolism. The purpose of this study was to assess changes in body composition (lean, adipose, and skeletal tissue) in an AD mouse model due to vitD deprivation and subsequent treatment with memantine and memantine combined with high dose vitD supplementation. Method Male APP/PS1 mice were randomized into four groups. Controls (n=14) received a standard diet throughout. The other three groups started a vitD deficient diet at month 6. At month 9, the VitD‐ group (n=14) remained on this diet, while the Mem&VitD‐ group (n=14) had memantine added, and the Mem&VitD+ group (n=14) had both memantine and 10 IU/g vitD added to their diet. Serum 25(OH)D3 levels were measured at months 6, 9, 12 and 15. Micro‐computed tomography scans were acquired at month 15 and segmented based on signal‐intensity to measure lean, adipose, and skeletal tissue mass and volume. Result Serum 25(OH)D3 measurements confirmed that mice on vitD‐deficient diets had lower levels (89% decrease), and mice on the vitD‐enriched diet (Mem&VitD+) had higher levels (129% increase), of 25(OH)D3 relative to mice on the standard diet. No differences were observed in adipose or lean tissue mass and volume between the four groups, however, there was a significant increase in skeletal tissue mass (9.3% increase, p<0.05) and volume (9.2% increase, p<0.05), and bone mineral content (8.7% increase, p<0.01) in the Mem&VitD‐ group relative to controls. Conclusion While vitD deprivation did not affect body composition in APP/PS1 mice at 15 months, memantine increased absolute skeletal tissue in mice that were vitD‐deficient. However, memantine did not have this effect in mice that were vitD‐enriched. We conclude that combination treatment of memantine and vitD enrichment had no negative effects on body composition in the APP/PS1 mouse model. Future work should clarify whether vitD status impacts the effects of memantine on bone physiology in people with AD.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".