Neuroprotective Role of Statins in Alzheimer`s Disease: Anti-Apoptotic Signaling~!2009-02-06~!2010-04-04~!2010-06-22~!
Bibliographic record
Abstract
Alzheimer's disease (AD), a severe form of senile dementia is a neurodegenerative disorder.One of the most well characterized hallmarks of AD are extra-neuronal aggregates of amyloid-beta peptide (A ), known as amyloid plaques.Recent epidemiological studies suggest a link between statin intake, and a lowered incidence of AD.Statins are 3-hydroxy-3-methylglutaryl co-enzyme reductase (HMG) inhibitors, which are one of the most commonly prescribed drug groups used to lower serum cholesterol levels in patients with heart disease.Some of the pleiotropic effects of statins which are gaining attention are its ability to reduce A production and deposition, inhibit caspase-3 mediated apoptosis, and demonstrate anti-inflammatory properties by reducing interleukin-6 (IL-6) levels.The molecular mechanisms responsible for the pleiotropic effects of statins in promoting neuronal survival are not fully understood.Our own research has shown that statins promote anti-apoptotic responses against A -neurotoxicity through -catenin-TCF/LEF signaling however, other anti-apoptotic statin mediated signaling pathways may also be involved.This review will describe AD pathogenesis, A production, and the role of statins in mitigating these effects.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".