Angiotensin-converting Enzyme Inhibitors, Inhibition of Brain and Peripheral Angiotensin-converting Enzymes, and Left Ventricular Dysfunction in Rats After Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: The brain renin-angiotensin system contributes significantly to progressive left ventricular (LV) dysfunction in rats after myocardial infarction (MI). The present study evaluated the effects of central versus peripheral plus central angiotensin-converting enzyme (ACE) blockade on sympathetic activity, and LV anatomy and function after MI. METHODS: Wistar rats were treated for 4 weeks after MI with the lipophilic ACE inhibitor trandolapril at 5 mg/kg/day or the hydrophilic blocker lisinopril at 50 mg/kg/day by once daily subcutaneous injection, or with a central infusion of lisinopril at 0.1 mg/kg/day. RESULTS: At 24 hours after the last dose, subcutaneous trandolapril caused 70% to 80% ACE inhibition in both brain and kidneys; lisinopril caused 10% to 20% less. Central infusion of lisinopril caused 70% inhibition of brain ACE and minimal (6%) inhibition in the kidneys. All three treatments similarly improved sympathetic reactivity and arterial baroreflex function. All three treatments lowered cardiac Ang I and II, and similarly attenuated the increases in LV end diastolic pressure, circumference, and fibrosis. Both subcutaneous treatments further decreased LV peak systolic pressure and dP/dt max, whereas icv lisinopril caused no change. CONCLUSION: Despite marked differences in the extent of peripheral blockade, all three treatments similarly affected sympathetic activity and decreased cardiac Ang II, preload and remodeling after MI. One may speculate that central and peripheral ACE-mediated mechanisms are sequential and therefore only minor additional effects of peripheral ACE blockade are noted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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 source (direct Gemma or distilled Codex), 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".