Remodeling of Resistance Arteries in Human Hypertension: Effects of Cilazapril, an Angiotensin- I -Converting Enzyme Inhibitor
Bibliographic record
Abstract
Studies on the effect of antihypertensive agents on resistance arteries in hypertensive patients have in the past yielded inconclusive results regarding the ability of these drugs to induce a regression toward normal of either the structure or the function of these critically important vessels. We have recently compared the effects of the angiotensin-I-converting enzyme inhibitor cilazapril and of the beta blocker atenolol on the structure and the function of subcutaneous resistance arteries of essential hypertensive patients. The patients were randomly assigned to receive either cilazapril or atenolol for a period of 2 years. The blood pressure was normalized for the duration of the trial by both drugs. The media-to-lumen ratio of resistance arteries, which was significantly increased in all hypertensive patients before starting treatment, was normalized by the 2-year treatment with cilazapril, whereas treatment with atenolol did not result in any change in this vascular parameter. Treatment with cilazapril also returned to normal the contractile responses to several vasoconstrictors, particularly endothelin 1. Endothelium-dependent relaxation responses of blood vessels to acetylcholine were abnormal in hypertensive patients and improved in the cilazapril-treated patients, but remained unchanged in the atenolol-treated ones. We conclude that treatment with the angiotensin-I-converting enzyme inhibitor cilazapril corrects in part the vascular remodeling and the functional abnormalities of resistance arteries of hypertensive patients, whereas treatment with the beta blocker atenolol does not. These results may indicate that treatment with cilazapril and perhaps with other angiotensin-I-converting enzyme inhibitors as well may improve the clinical outcome in hypertension by inducing a regression of abnormal resistance vessel structure and function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".