Cholesterol metabolism, apolipoprotein E, adenosine triphosphate-binding cassette transporters, and Alzheimer's disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: Recent evidence suggests that cholesterol metabolism participates in the pathogenesis of Alzheimer's disease. Apolipoprotein E is the main lipid carrier in the brain and the best-established risk factor for late-onset Alzheimer's disease. Intracellular cholesterol levels influence the generation of amyloid-beta peptides, the toxic species thought to be a primary cause of Alzheimer's disease. Finally, compounds that modulate cholesterol metabolism affect amyloid-beta generation. This review summarizes data linking apolipoprotein E and adenosine triphosphate-binding cassette transporters to aspects of cholesterol metabolism and Alzheimer's disease pathogenesis. RECENT FINDINGS: In vivo, the lipidation status of apolipoprotein E affects amyloid-beta burden in mice with Alzheimer's disease, which appears to caused by the modulation of amyloid-beta deposition or clearance rather than amyloid-beta production. State-of-the-art in-vivo assays reveal that amyloid-beta is cleared from the brain by multiple pathways. Members of the adenosine triphosphate-binding cassette superfamily of transporters regulate lipid homeostasis and apolipoprotein metabolism in the brain, and may affect Alzheimer's disease pathogenesis by modulating apolipoprotein E lipidation as well as intracellular sterol homeostasis. SUMMARY: Proteins involved in brain cholesterol metabolism may affect the pathogenesis of Alzheimer's disease. Compounds that modulate the expression of these proteins may be of therapeutic benefit in 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.005 | 0.005 |
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".