Apolipoprotein E: Possible Therapeutic Target for Atherosclerosis
Bibliographic record
Abstract
Human apolipoprotein E (apoE) consists of a single polypeptide chain with 299 amino acids and is best known for its role in the transport of cholesterol and other lipids between peripheral tissues and the liver. However, more direct effects of apoE on the vascular wall may well contribute to arterial protection from atherosclerosis. This review will focus on: (a) the ability of apoE to direct cholesterol efflux mechanisms with the aid of apoA1 and the ATP binding cassette transporter 1 (ABC1) (b) the ability of apoE to prevent platelet aggregation by facilitating the production of endogenous nitric oxide (NO) (c) the ability of apoE to inhibit the proliferation of T-lymphocytes by internalization of the IL-2 receptor and (d) the ability of apoE to inhibit proliferation of endothelial cells by out competing growth factors for interaction with cell surface heparan sulfate proteoglycans (HSPGs). The characterization of apoE and its many functions has provided insight into the ultimate potential of th is protein as a possible therapeutic agent for the treatment of atherosclerosis. This review will examine key scientific advances, which focus on possible therapeutic strategies that encompass the use of apoE in the amelioration of atherosclerosis. Keywords: Apolipoprotein, ATP binding cassette transporter 1 (ABC1), Atherosclerosis, macrophage colony-stimulating factor (M-CSF), ApoE, Cholesterol Efflux Mechanisms, Platelet Aggregation, Cell-based Gene Therapy, Intracellular nitric oxide synthase, Heparan sulfate proteoglycans
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".