Bibliographic record
Abstract
Age remains the main risk factor for developing Alzheimer's disease (AD) although certain metabolic alterations, including prediabetes and hyperinsulinemia, also increase this risk. We present a mouse model of AD (APPswe/PS1dE9 mouse) with severe hyperinsulinemia induced by long-term high fat diet (HFD) treatment. After 23 weeks on HFD learning and memory processes were compromised. We observed a significant increase in tau hyperphosphorylation and Aβ pathology, including Aβ levels and amyloid burden. Microglia activation was also significantly increased in HFD-treated mice, both in close proximity to and far from senile plaques. Insulin degrading enzyme and neprilysin levels were not affected, suggesting that Aβ degradation pathways were preserved, whereas we detected an increase in spontaneous cortical bleeding that could underlay an impairment of Aβ interstitial fluid drainage, contributing to the increase in Aβ deposition in APP/PS1-HFD mice. Altogether our data suggest that early hyperinsulinemia is enough to exacerbate AD pathology observed in APP/PS1 mice, and supports the role of insulin-resistance therapies to stop or delay central complications associated.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.589 | 0.254 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".