Bibliographic record
Abstract
Statins inhibit 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase, which initiates the syntheses of cholesterol and isoprenoid lipids that are needed to provide amyloid peptides for the amyloid cascade. This cascade is believed to induce sporadic or late-onset Alzheimer's disease, which accounts for 90 - 95% of Alzheimer's disease sufferers. Cholesterol is also the prime driver of cerebrovascular disease that (along with amyloid peptides) increasingly appears to be linked to the cognitive deterioration of Alzheimer's disease. Cholesterol is needed to make the lipid rafts that are the platforms for isoprenoid-dependent assembly and activation of raftophilic beta- and gamma-secretases that work in tandem to excise dangerous 40 and 42 amino acid amyloid-beta (Abeta) fragments from amyloid precursor protein, the transmembrane amyloid precursor glycoprotein. When they are excessively produced and can no longer be effectively destroyed or otherwise cleared from the hypoperfused ageing brain, the Abeta42 fragments released from the active synaptic terminals of normally busy neurons (and from stressed neurons unsuccessfully trying to proliferate and producing disruptive tangles of hyperphosphorylated tau-proteins) aggregate into neuritic plaques, which activate glial cells. The pro-inflammatory cytokines and growth factors from the glial cells further damage and kill neurons. As statins strike at several parts of the Alzheimer's disease mechanism (such as the infliction of cholesterol-dependent cerebrovascular damage) by inhibiting HMG-CoA reductase, their long-term use (starting as early as possible during Alzheimer's disease development) should slow or even prevent the progression of Alzheimer's disease. Indeed, there is some evidence of a significantly reduced incidence of Alzheimer's disease among people who have been using statins to reduce hypercholesterolaemia and its cardiovascular effects. To be certain of this, there must be more multi-year trials to specifically assess the effects of statins on sporadic Alzheimer's disease.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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".