A diet enriched with fish, vegetables, and fruits worsened cognitive function and neuroinflammatory gene expression in a transgenic mouse model of Alzheimer's disease
Bibliographic record
Abstract
Consumption of fish, fruits and vegetables are associated with lower incidence of Alzheimer's disease (AD). We hypothesized that a similar dietary profile would improve cognitive function in a transgenic mouse model of AD. Groups of TgCRND8 mice, and their wildtype littermates, received a standard rodent diet or the standard diet enriched with freeze‐dried salmon, vegetables, and fruits over four months. During the last month of feeding, cognitive function was assessed by a comprehensive battery of tasks adapted to the Morris water maze. Transgenic animals were impaired on all cognitive tests compared to their wildtype littermates. Unexpectedly, a ‘Diet x Transgene’ interaction was observed in which transgenic animals fed the enriched diet exhibited even worse cognitive function than their transgenic counterparts fed the control diet on tests of spatial memory (P<0.01), cued memory (P<0.01), and strategic rule learning (P=0.038) that collectively indicated damage to the hippocampus and frontal lobes. These cognitive deficits coincided with higher hippocampal gene expression of tumor necrosis factor‐alpha (P=0.013). These results indicate that a dietary profile identified by epidemiological studies exacerbated cognitive dysfunction in a mouse model of familial AD possibly by enhancing neuroinflammation through an impaired hormetic response. (CIHR)
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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 | 0.000 | 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".