Spontaneous Atherosclerosis in Aged Lipoprotein Lipase–Deficient Mice With Severe Hypertriglyceridemia on a Normal Chow Diet
Bibliographic record
Abstract
Large-scale epidemiological studies have revealed a strong association between hypertriglyceridemia and coronary arteriosclerotic disease. However, there are conflicting reports whether the severe hypertriglyceridemia caused by lipoprotein lipase (LPL) deficiency is pro- or antiatherogenic. To determine the effect of LPL deficiency on atherosclerosis, we pursued long-term observation of the development of atherosclerotic lesions in an LPL gene deficient mouse model. At 4 months of age, homozygous LPL-deficient mice exhibited severe hypertriglyceridemia but no signs of aortic atherosclerotic lesions. At >15 months of age, these mice developed foam cell-rich atherosclerotic lesions at the aortic root, whereas wild-type and heterozygous mice were lesion-free at the same age. Further investigation revealed that plasma malondialdehyde levels in >15-month-old LPL-deficient mice were significantly higher than those of heterozygous and wild-type mice. Electron spin resonance analysis showed a marked increase in oxidative susceptibility of chylomicrons from the aged LPL-deficient mice. Incubation of chylomicrons from >15-month-old LPL-deficient mice with cultured human umbilical vein endothelial cells showed significantly increased upregulation of vascular cell adhesion molecule-1 and monocyte chemoattractant protein-1, markers of enhanced endothelial activation, and enhanced adherence of human THP-1 mononuclear cells. These results clearly demonstrate the occurrence of spontaneous atherosclerosis in aged LPL-deficient mice mediated by the oxidation of chylomicrons and the activation of vascular endothelial cells.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".