Enalapril decreases cardiac mass and fetal gene expression without affecting the expression of endothelin-1, transforming growth factor β-1, or cardiotrophin-1 in the healthy normotensive rat
Bibliographic record
Abstract
Angiotensin II can induce cardiac hypertrophy by stimulating the release of growth factors. ACE inhibitors reduce angiotensin II levels and cardiac hypertrophy, but their effects on the healthy heart are largely unexplored. We hypothesized that ACE inhibition decreases left ventricular mass in normotensive animals and that this is associated with altered expression of cardiac fetal genes, growth factors, and endothelial nitric oxide synthase (eNOS). Wistar rats (n = 7 per group) were orally administered with enalapril twice daily for a total daily dose of 5 mg·kg(-1)·d(-1) (ENAP5) or 15 mg·kg(-1)·d(-1) (ENAP15) or vehicle. Systolic blood pressure was measured by the tail-cuff method. Left ventricular expression of cardiac myosin heavy chain-α (MYH6) and -β (MYH7), atrial natriuretic peptide (ANP), endothelin-1 (ET-1), transforming growth factor β-1 (TGFβ-1), cardiotrophin-1 (CT-1), and renal renin were examined by real-time PCR, and eNOS using Western blot. Blood pressure was decreased only in ENAP15 animals (p < 0.05 vs. Control), whereas left ventricular mass decreased after both doses of enalapril (p < 0.05 vs. Control). MYH7 and ANP were reduced in ENAP15, while no changes in ET-1, TGFβ-1, CT-1, and MYH6 mRNA or eNOS protein were observed. Renal renin dose-dependently increased after enalapril treatment. Enalapril significantly decreased left ventricular mass even after 1 week treatment in the normotensive rat. This was associated with a decreased expression of the fetal genes MYH7 and ANP, but not expression of ET-1, CT-1, or TGFβ-1.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".