Atorvastatin Worsens Left Ventricular Diastolic Dysfunction and Endothelial Dysfunction of Epicardial Coronary Arteries in Normocholesterolemic Porcine With Left Ventricular Hypertrophy
Bibliographic record
Abstract
Statins have pleiotropic effects that can reverse endothelial dysfunction and prevent the development of left ventricular hypertrophy (LVH). The goal of this study was to assess the effect of treatment with atorvastatin on the endothelial dysfunction of epicardial coronary arteries and the development of LVH in a porcine model. LVH was induced through 2 months of aortic banding (AB) of the ascending aorta. Experimental groups were (1) sham untreated: without AB, (2) LVH untreated: with AB, and (3,4) LVH treated: with AB treated with 40 and 80 mg of atorvastatin, respectively, for 60 days, and (5) sham treated: without AB treated with 80 mg of atorvastatin for 60 days. Vascular reactivity studies were performed in organ chambers experiments. NO bioavailability was assessed using cyclic guanosine monophosphate quantification. Oxidative stress levels were measured by quantifying angiotensin II) and nitrite/nitrate levels. LVH and LV diastolic function were evaluated using echocardiography. Atorvastatin decreased endothelium-dependent relaxations and cyclic guanosine monophosphate levels in all treated animals. Angiotensin II levels were increased, whereas nitrite levels were similar among groups (P > 0.05). LV diastolic dysfunction and LVH were significantly greater in all treated animals (P < 0.01). High-density lipoprotein levels and low-density lipoprotein levels were significantly decreased in animals receiving atorvastatin (P < 0.05). In this swine model of LVH, atorvastatin did not prevent LVH development or coronary endothelial dysfunction and resulted in worsening of the LV diastolic dysfunction.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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".