Amyloid β and impairment in multiple memory systems in older transgenic APP TgCRND8 mice
Bibliographic record
Abstract
The relationship between amyloid beta and cognitive dysfunction in mouse models of Alzheimer's disease has been evaluated predominantly with the spatial reference memory version of the water maze task. However, as Alzheimer's disease encompasses decline in multiple memory systems, it is important to also utilize non-spatial tasks to fully characterize the role of amyloid on behaviour in animal models. We used the TgCRND8 mouse model of Alzheimer's disease to evaluate the effect of amyloid on spatial reference memory, as well as on the non-spatial task of acquisition of conditioned taste aversion, and on the procedural task of swimming to a visible platform. We demonstrate that 8- to 12-month-old TgCRND8 mice are significantly impaired in all three tasks, and that the levels of soluble amyloid beta are significantly correlated with impairment in spatial reference memory, but not with impairment in conditioned taste aversion or swimming to a visible platform. Insoluble fractions of amyloid, which correspond closely to amyloid plaque burden in the brain, are not associated with any behavioural measure. Our study extends the characterization of the model to stages of advanced amyloid pathology and demonstrates that older TgCRND8 mice are impaired in multiple memory systems, including procedural tasks, which are spared at younger ages. The lack of association between amyloid plaques and memory decline supports clinical findings in Alzheimer's patients.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".