Scavenger Receptor Class B Type I–Mediated Protection Against Atherosclerosis in LDL Receptor–Negative Mice Involves Its Expression in Bone Marrow–Derived Cells
Bibliographic record
Abstract
OBJECTIVE: Scavenger receptor class B type I (SR-BI) is a cell-surface HDL receptor that is implicated in reverse cholesterol transport and protection against atherosclerosis. We have previously demonstrated that SR-BI/apolipoprotein E double-knockout mice develop severe occlusive coronary artery disease and myocardial infarction and die at approximately 6 weeks of age. To determine if this is a general effect of a lack of SR-BI, we generated mice deficient in both SR-BI and the LDL receptor. METHODS AND RESULTS: Complete ablation of SR-BI expression in LDL receptor knockout mice resulted in increased plasma cholesterol associated with HDL particles of abnormally large size and a 6-fold increase in diet-induced aortic atherosclerosis but no macroscopic evidence of early-onset coronary artery disease, cardiac pathology, or early death. Furthermore, selective elimination of SR-BI expression in bone marrow-derived cells resulted in increased diet-induced atherosclerosis in LDL receptor knockout mice without concomitant alterations in the distributions of plasma lipoprotein cholesterol. CONCLUSIONS: SR-BI expression protects against atherosclerosis in LDL receptor-deficient as well as apolipoprotein E-deficient mice, and its expression in bone marrow-derived cells contributes to this protection.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".