Abstract 230: Matrix Regulation of Lymphangiogenesis in Atherosclerosis
Bibliographic record
Abstract
Background: Atherosclerosis is a consequence of an imbalance of cellular uptake of lipoproteins versus removal of cholesterol from the arterial wall. The lymphatic vasculature represents the primary route of cholesterol removal from atherosclerotic vessels. Previous studies have linked matrix protein thrombospondin-1 (TSP1), a well-known inhibitor of angiogenesis, with human atherosclerotic disease; however the mechanisms by which TSP1 contributes to atherosclerosis and its effect on arterial lymphangiogenesis remain unknown. Methods: The effect of TSP1 on human lymphatic endothelial cell (LEC) proliferation, migration and tube formation was investigated in vitro . TSP1 protein expression was analyzed in human and murine (ApoE -/- , 12 weeks Western diet) atherosclerotic aortic tissue and lesion free segments using Western blotting. The role of TSP1 and its cognate receptor CD47 in the pathogenesis of atherosclerosis was investigated using knockout animals. Results: TSP1 expression was significantly increased in both human and ApoE -/- atherosclerotic arteries compared to plaque free segments in human and wild type aortic tissue. TSP1 at physiologically relevant concentrations (11-22 nM, 24 hrs) inhibited LEC proliferation, migration, and tube formation. RT-PCR data demonstrated that CD47 is the predominant TSP1 receptor expressed in LEC (> 50-fold over CD36 mRNA levels). Finally, genome-wide deficiency in TSP1 and CD47 receptor attenuated atherosclerotic lesion formation in the aorta and brachiocephalic artery by ~50% compared to wild type controls. Importantly, there was no difference in plasma cholesterol levels, body weight, fat and lean mass, fasting plasma glucose, and blood pressure between the experimental groups. Conclusions: The present study suggests that matrix protein TSP1 via CD47 receptor contributes to the pathogenesis of atherosclerosis. Inhibition of arterial lymphangiogenesis by TSP1-CD47 signaling may contribute to arterial lipid accumulation and atherosclerosis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".