Activity Rhythms Are Largely Intact in APP <sup>NL-G-F</sup> Alzheimer’s Disease Mice
Bibliographic record
Abstract
Circadian rhythm dysfunction is present in Alzheimer's disease. Animal models of Alzheimer's disease have been employed to investigate whether this dysfunction is a risk factor or symptom of the disease. The circadian phenotype in mouse models of Alzheimer's disease is very disparate in terms of the degree and timing of the dysfunction. This is likely a result of some models elevating amyloid-β protein precursor instead of just the amyloid-β fragment present in human Alzheimer's disease. We characterized activity rhythms in a novel knock-in mouse model (APPNL-G-F) of Alzheimer's disease that elevates amyloid-β without overexpressing amyloid-β protein precursor. Despite increased rhythm amplitude, total activity, and a shortening of free-running period at 15 months of age, all other aspects of the activity rhythm were similar to controls from three to fifteen months of age. At two months of age, these mice were also able to entrain to a light-dark cycle with a period right on the edge of entrainment, which further suggests a healthy functioning circadian system. These data open the possibility that circadian rhythm disruptions in transgenic models of Alzheimer's disease could be a result of these models having an artificial phenotype caused by overexpression of amyloid-β protein precursor.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".