Selective Mineralocorticoid Receptor Blocker Eplerenone Reduces Resistance Artery Stiffness in Hypertensive Patients
Bibliographic record
Abstract
Some antihypertensive agents may improve resistance artery remodeling in hypertensive patients whereas other agents may not, for similar blood pressure reduction. We questioned whether the selective mineralocorticoid receptor blocker eplerenone improves resistance artery remodeling in hypertensive patients versus the beta-blocker atenolol. Sixteen hypertensive patients were randomly assigned to double-blind daily treatment with eplerenone or atenolol. Resistance arteries from gluteal subcutaneous tissue were assessed on a pressurized myograph. After 1 year of treatment, systolic and diastolic blood pressures were similarly well controlled in both groups. Endothelial function did not change with treatment in either group. Media/lumen ratio and cross-sectional area were unchanged in either the atenolol or the eplerenone group. In atenolol-treated patients, the arterial wall became stiffer, whereas in the eplerenone-treated patients, it became less stiff and similar to that of a normotensive control group. The media collagen/elastin ratio was reduced only after eplerenone treatment. Circulating concentrations of osteopontin, monocyte chemoattractant protein-1, basic fibroblast growth factor, interleukin-8, and interleukin-10 were significantly reduced only by eplerenone. However, plasma interleukin-1 receptor a concentration was significantly reduced by both drugs. In conclusion, in hypertensive patients, blood pressure control for 1 year with atenolol was associated with increased wall stiffness of resistance arteries, whereas eplerenone treatment was associated with reduced stiffness, decreased collagen/elastin ratio, and a reduction in circulating inflammatory mediators. These data raise the possibility that eplerenone treatment of hypertensive patients when normalizing blood pressure could potentially be associated with better vascular protection and outcomes than the beta-blocker atenolol, which remains to be demonstrated.
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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".