Evidence of an Altered In Vivo Vascular Cell Turnover in Spontaneously Hypertensive Rats and Its Modulation by Long-term Antihypertensive Treatment
Bibliographic record
Abstract
The aims of this study were to measure in vivo cell turnover in the thoracic aorta from spontaneously hypertensive rats (SHR) and Wistar-Kyoto rats (WKY) and to investigate how it could be modulated by chronic antihypertensive treatment. Cell turnover was estimated in rats in which DNA had been prelabeled in utero with [ 3 H]-thymidine, by the rate of disappearance of total [ 3 H]-DNA from birth to 20 weeks of age. In SHR compared with WKY, neonatal relative aortic mass was transiently elevated and was reversed to hypotrophy at 8 weeks. At 20 weeks of age, aortic hypertrophy reappeared. Aortic DNA content reflected the morphologic changes observed with age. In both SHR and WKY, the decline with time in [ 3 H]-prelabeled aortic DNA coupled with the increase in total organ DNA demonstrated that cells prelabeled in utero died and were replaced. Decline in [ 3 H]-DNA from birth to 8 weeks of age was approximately threefold faster in the aorta from SHR than in WKY. In older SHR, the decrease in [ 3 H]-DNA was then slower and similar to that of WKY. Chronic treatment of SHR for 15 weeks from the age of 5 weeks, with hydralazine, enalapril, or nifedipine prevented the rise in systolic blood pressure, aortic mass, and DNA content. This was associated with an unchanged residual radioactivity of [ 3 H]-prelabeled aortic DNA over time, suggesting that the treatment did not stimulate cumulative cell death. We propose that the altered cell turnover is a component of aortic remodeling observed in hypertension. Our data also suggest that it is possible to modulate in vivo cell turnover and affect vascular remodeling by pharmacologic therapy.
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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) | 0.000 | 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".