Administration of Tyrosyl Radical–Oxidized HDL Inhibits the Development of Atherosclerosis in Apolipoprotein E–Deficient Mice
Bibliographic record
Abstract
OBJECTIVE: Tyrosyl radical-oxidized HDL (tyrHDL) increases the ability of cells to donate cholesterol to apolipoprotein (apo) A-I for HDL particle formation. We tested whether treatment with tyrHDL raises endogenous HDL cholesterol levels and decreases atherosclerosis development in apoE-deficient mice. METHODS AND RESULTS: Tyrosyl radical oxidation of mouse HDL induced formation of apoAI-AII heterodimers and enhanced the ability of mouse HDL to deplete cultured fibroblasts of their regulatory pool of cholesterol. 125I-labeled HDL and tyrHDL delivered intraperitoneally were cleared at similar rates from plasma of chow-fed apoE-deficient mice. ApoE-deficient mice injected intraperitoneally twice weekly with 150 microg tyrHDL from age 10 to 18 weeks showed a maximum 2.3-fold increase in endogenous HDL cholesterol levels, which fell toward the end of the treatment period. tyrHDL treatment resulted in 37% less aortic lesion development than in control HDL-treated mice (P<0.001) and 67% less than in saline-injected animals (P<0.001). CONCLUSIONS: Administration of tyrHDL for 8 weeks resulted in significantly less atherosclerosis development in apoE-deficient mice than injection of HDL or saline. Molecules increasing mobilization of cellular cholesterol to apoAI for HDL particle formation would be expected to decrease atherosclerosis without necessarily causing sustained increases in circulating HDL cholesterol levels.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".