Pharmacological prevention and regression of arterial remodeling in a rat model of isolated systolic hypertension
Bibliographic record
Abstract
OBJECTIVES AND DESIGN: Isolated systolic hypertension (ISH) is the predominant form of hypertension in the elderly population and drug treatment is unsatisfactory. We compared the efficacy of an endothelin-receptor antagonist (darusentan), an angiotensin-receptor blocker (irbesartan) and a thiazide diuretic (hydrochlorothiazide, HCTZ) to prevent and regress pulse pressure (PP) elevation and remodeling of large and small arteries, in a rat model of ISH obtained by the chronic administration of warfarin and vitamin K1 (WK). METHODS AND RESULTS: Warfarin and vitamin K1 treatment for 4 or 8 weeks led to an elevation of PP, associated with increases in aortic calcium deposition and the ratio of collagen to elastin (C/E). Despite these changes in the composition of the aortic wall, the global structure of the aorta was unchanged. In contrast, an outward hypertrophic remodeling was observed in the middle cerebral artery. An early treatment with all drugs (darusentan, irbesartan, HCTZ) prevented PP elevation, changes of aortic media composition and the development of vascular remodeling. However, after 4 weeks of ISH, only darusentan and irbesartan reduced PP when administered from week 4 to 8. Darusentan was the most effective to regress existent aortic calcification, while only irbesartan reversed small artery hypertrophic remodeling. CONCLUSIONS: During the development of ISH, drug treatment appears more beneficial when started early. Indeed, the three agents prevented PP elevation, aortic calcification and C/E increase in the aorta, and hypertrophy in small arteries. In contrast, once the disease is established, endothelin appears crucial in the maintenance of aortic calcification, while angiotensin II sustains small artery hypertrophy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".