Transient involvement of endothelin in hypertrophic remodeling of small arteries
Bibliographic record
Abstract
OBJECTIVE: This study was designed to evaluate the capacity of norepinephrine (NE) to induce hypertrophic remodeling of small arteries in rats, and to determine the involvement of endothelin (ET) to initiate and maintain it. DESIGN AND RESULTS: Treatment with NE (2.5 microg/kg per min) for 14 or 28 days produced a similar inward hypertrophic remodeling, characterized by a smaller lumen, but increased media thickness and cross-sectional area. Arterial stiffness was reduced. Histological evaluation confirmed the hypertrophic nature of remodeling. Concomitant administration of LU135252 (ET-receptor antagonist) for the first 14 days of NE administration prevented the development of hypertrophy, without altering arterial mechanics. Treatment with the same antagonist from day 14 to day 28 of NE or angiotensin II (Ang II) treatment failed to regress established vascular hypertrophy. In contrast, normalization of arterial structure was observed with prazosin, an alpha-adrenergic blocker. Endothelin content in small mesenteric arteries showed a transient elevation following chronic NE administration. CONCLUSIONS: Increased circulating NE levels are associated with hypertrophic remodeling of small arteries, in which ET plays an initiating role. However, the maintenance of vascular hypertrophy is ET-independent, either in the presence of augmented circulating levels of NE or Ang II. Thus, early rather than late treatment with ET-receptor antagonists may be a preferable approach to limit small artery-mediated end-organ damage in cardiovascular diseases.
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 | 0.000 |
| 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".