Hypothermia and Alzheimers Disease Neuropathogenic Pathways
Bibliographic record
Abstract
Alzheimer's disease (AD) remains a major health problem, and accounts for 50 to 60% of all cases of dementia. The two histopathological hallmarks of AD are senile plaques, composed of the β-amyloid peptide (Aβ), and intraneuronal neurofibrillary tangles composed of abnormally hyperphosphorylated tau protein. Only a small proportion of AD is due to mutations in the genome of patients, the large majority of cases being of late onset and sporadic in origin. The relative contribution of genetics and environment to the sporadic cases is unclear, but they are accepted to be of multifactorial origin. This means that genetic and environmental factors can interact together to induce or accelerate the disease. Among environmental factors, studies suggest that hypothermia may contribute to the development and exacerbation AD. Here, we review the preclinical data involving hypothermia with tau and Aβ, as well as clinical evidence implicating hypothermia in the development of AD.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".