Abstract 1626: Selective Mineralocorticoid Receptor Blocker Eplerenone Reduces Inflammatory Biomarkers in Hypertensive Patients
Bibliographic record
Abstract
High blood pressure (BP) may stimulate an inflammatory reaction, which in turn might induce the changes in the arterial wall that are characteristic of hypertension. We have recently reported that BP control with the selective mineralocorticoid receptor (MR) blocker eplerenone is associated with reduced stiffness of resistance arteries of hypertensive patients. Here we questioned whether in hypertensive patients BP reduction after one year (1yr) of therapy with either eplerenone or the beta-blocker atenolol is associated with a decreased inflammatory response. Sixteen hypertensive patients (age 30 to 70 yrs) were randomized to double-blind treatment for 1yr with eplerenone (50–100 mg) or atenolol (50–100 mg) once daily. Seven normal subjects were studied as a control group. Serum levels of cytokines (IL-1β, IL-6, IL-8, IL-10, IL-1Ra), chemokines (MCP-1), and fibroblast growth factor (FGF) were measured by Bio-plex assay, and osteopontin by ELISA, as indices of systemic and vascular inflammation, before and 1yr after treatment. After 1yr of treatment, systolic and diastolic BP were well controlled in both the atenolol and eplerenone groups (144.3±3.7/95.4±1.8mmHg reduced to 121.4±3.1/79.2±2.6 mmHg, p
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".