Modifiable risk factors of Alzheimer's disease and neuroinflammation: what are the links?
Bibliographic record
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder affecting 46 million people worldwide with its incidence rapidly increasing. The pathological hallmarks of AD include the deposition of amyloid-β plaques and the formation of neurofibrillary tangles, which trigger a state of chronic neuroinflammation mediated by dysregulated glial cell activation. Currently, no cure exists for AD, highlighting the need to reduce incidence of this devastating disease by identifying modifiable risk factors. Several studies have demonstrated that sedentary lifestyles, hypertension, and lifestyle-associated conditions such as obesity and Type 2 diabetes mellitus contribute to increased risk of AD. Herein, we describe the link between these select modifiable risk factors and chronic neuroinflammation, thereby highlighting control of risk factors as a possible strategy for inhibiting disease progression.
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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 | 0.001 |
| 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".