Abstract 559: FTY720 Protects Against Diet Induced Coronary Artery Disease and Myocardial Infarction in Diabetic SR-B1-/- ApoE-Hypomorphic Mice
Bibliographic record
Abstract
Background: Epidemiological studies have established diabetes as a risk factor for the development of cardiovascular diseases. Increased development of aortic atherosclerosis has been shown in diabetic animal models, but the effect on coronary artery (CA) disease is less clear. Conventional mouse models of atherosclerosis do not reproducibly develop CA atherosclerosis. SR-B1-/- apoE-hypomorphic mice develop increased aortic sinus atherosclerosis and diet-induced CA atherosclerosis when compared to SR-B1+/+ apoE-hypomorphic mice. FTY720, a sphingosine-1-phosphate analog, has been shown to play a protective role in both atherosclerosis and diabetes. We assessed the hypothesis that FTY720 supplementation will decrease the development of CA and aortic atherosclerosis and myocardial infarction in diabetic SR-B1-/- apoE-hypomorphic mice fed an atherogenic diet. Methods: Diabetes was induced by multiple low-dose i.p. injections of streptozotocin (40 mg/kg body weight). Controls received vehicle. Mice were fed a high-fat/high-cholesterol diet for 4 weeks (n=14-15). FTY720 was administered on the drinking water (0.0036 g/l, n=14-15). CA and aortic atherosclerosis and cardiac fibrosis were evaluated. Results: Diabetic SR-B1-/- apoE-hypomorphic mice fed a high-fat/high-cholesterol diet presented reduced survival (p<0.01) and significantly larger plaques in the aortic sinus (p<0.05) compared to control. CA atherosclerosis burden (p<0.001) and levels of cardiac fibrosis (p<0.01) were increased as well. FTY720 supplementation significantly protected diabetic mice against aortic and CA atherosclerosis (p<0.05) and myocardial fibrosis (p<0.05). Conclusion: FTY720 significantly reduced the burden of aortic and CA atherosclerosis and cardiac fibrosis in diabetic SR-B1-/- apoE-hypomorphic mice challenged with a high-fat/high-cholesterol diet.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".