Effects of Nutraceuticals and Botanicals on Macrophage Cholesterol Efflux: Implications for Atherosclerosis
Bibliographic record
Abstract
To date, the literature on high-density lipoprotein (HDL) levels as an inverse risk factor for atherosclerosis has mainly been observational, and it is likely that the metabolism and function of HDL is a more significant determinant of cardiovascular disease. As an example, as cholesterol is effluxed out of macrophages and carried to the liver via HDL for excretion, reduced cholesterol efflux can result in increased cholesterol accumulation. In terms of atherosclerosis risk, increasing cholesterol efflux is theoretically a strategy that can be considered as the groundwork of cardiovascular disease treatment and prevention. However, until now, there has not been a pharmaceutical agent that has effectively increased reverse cholesterol transport (RCT) at all steps of the process. Here is a review of the research on natural compounds present in edible foods and their observed in vitro and in vivo (and even ex vivo) effects on the first step of RCT: macrophage cholesterol efflux. The findings here are preliminary and contradictory, making it hard to translate the evidence on most of these naturally occurring agents into clinical applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".