Anti-Atherosclerotic Molecules Targeting Oxidative Stress and Inflammation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The accumulation of lipids within arteries remains to be the initial impulse for the pathogenesis of atherosclerosis; however, both inflammation and oxidative stress are considered to play a critical role in this process. Several lipid lowering drugs are used as the first line therapy in atherosclerosis; however, different agents have been found to exhibit beneficial effects which are independent of their lipid lowering activity. Both statins and fibrates have been reported to exert anti-inflammatory and anti-oxidative effects in addition to their anti-atherosclerotic actions. Furthermore, anti-hypertensive, anti-diabetic and anti-platelet drugs, which reduce oxidative stress and inflammation, have been shown to attenuate atherosclerosis. In addition, novel substances such as HDL-related agents, cyclopentenone prostaglandins, lipoprotein-associated phospholipase A(2) inhibitors, 5-lipoxygenase pathway inhibitors, acyl CoA: cholesterol acyltransferase inhibitors, analogues of probucol and lysophosphatidic acid antagonists have been developed for the treatment of atherosclerosis as a consequence of their actions on oxidative stress and inflammation. The present article reviews the involvement of inflammation and oxidative stress in the pathogenesis of atherosclerosis and focuses on the mechanisms of some clinically used as well as potential anti-atherosclerotic substances with anti-inflammatory and anti-oxidative properties.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it