Urotensin II Receptor Knockout Mice on an ApoE Knockout Background Fed a High-Fat Diet Exhibit an Enhanced Hyperlipidemic and Atherosclerotic Phenotype
Bibliographic record
Abstract
RATIONALE: Expression of the vasoactive peptide Urotensin II (UII) is elevated in a number of cardiovascular diseases. OBJECTIVE: Here, we sought to determine the effect of UII receptor (UT) gene deletion in a mouse model of atherosclerosis. METHODS AND RESULTS: UT knockout (KO) mice were crossed with ApoE KO mice to generate UT/ApoE double knockout (DKO) mice. Mice were placed on a high-fat Western-type diet for 12 weeks. We evaluated the degree of atherosclerosis and hepatic steatosis by histology. In addition, serum glucose, insulin, and lipids were determined. DKO mice exhibited significantly increased atherosclerosis compared to ApoE KO mice (P<0.05). This was associated with a significant increase in serum insulin and lipids (P<0.001) but a decrease in hepatic steatosis (P<0.001). UT gene deletion led to a significant increase in systolic pressure and pulse pressure. RT-PCR and immunoblot analyses showed significant reductions in hepatic scavenger receptors, nuclear receptors, and acyl-CoA:cholesterol acyltransferase (ACAT1) expression in DKO mice. UII induced a significant increase in intracellular cholesteryl ester formation in primary mouse hepatocytes, which was blocked by the MEK inhibitor, PD98059. Hepatocytes of UTKO mice showed a significant reduction in lipoprotein uptake compared to wild-type mice. CONCLUSIONS: We propose that UT gene deletion in an ApoE-deficient background promotes downregulation of ACAT1, which in turn attenuates hepatic lipoprotein receptor-mediated uptake and lipid transporter expression. As the liver is the main organ for uptake of lipoprotein-derived lipids, DKO leads to an increase in hyperlipidemia, with a concomitant decrease in hepatic steatosis, and consequently increased atherosclerotic lesion formation. Furthermore, the hypertension associated with UT gene deletion is likely to contribute to the increased atherosclerotic burden.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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 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".