Effect of ACE/NEP inhibition on cardiac and vascular collagen in stroke-prone spontaneously hypertensive rats
Bibliographic record
Abstract
Left ventricular remodeling in hypertension is associated with cardiac interstitial and perivascular collagen deposition. The dual angiotensin I converting enzyme/neutral endopeptidase inhibitor omapatrilat (also called vasopeptidase inhibitor) improves left ventricular remodeling in experimental heart failure. We hypothesized that omapatrilat would induce regression of cardiac and vascular fibrosis in hypertension. We, therefore, investigated the effect of omapatrilat on collagen deposition in heart and aorta of stroke-prone spontaneously hypertensive rats (SHRSP). Twenty-week-old normotensive Wistar-Kyoto (WKY) rats, untreated SHRSP, and SHRSP treated with omapatrilat (40 mg/kg per day, orally) for 10 weeks were investigated. Collagen in the heart and the descending thoracic aorta was stained with Sirius red. After 10 weeks, systolic blood pressure (BP) was significantly (P < .01) reduced in omapatrilat-treated versus untreated SHRSP. Interstitial collagen density was significantly decreased in the subendocardial myocardium (to 2.71 +/- 0.24% v 4.12 +/- 0.30%, respectively, P < .05) and in the midmyocardium of omapatrilat-treated versus untreated SHRSP (to 3.01 +/- 0.25 v 4.19 +/- 0.17% respectively, P < .05). Perivascular collagen was significantly (P < .05) decreased in the subepicardial, mid-myocardial and, subendocardial regions of the myocardium of omapatrilat-treated versus untreated SHRSP. Aortic collagen content decreased in omapatrilat-treated versus untreated SHRSP (to 36.1 +/- 2.8 v 58.8 +/- 6.1 x 10(3) microm2/mm section, respectively, P < .05). In conclusion, in addition to being a potent antihypertensive agent, omapatrilat significantly improves cardiac and vascular fibrosis in SHRSP.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".