Prevention of Salt-induced Hypertension and Fibrosis by AT1-receptor Blockers in Dahl S Rats
Bibliographic record
Abstract
In Dahl S rats, high salt intake causes hypertension and cardiovascular hypertrophy and fibrosis, associated with an apparent increase in activity of tissue RAAS. In the current study, we assessed the effects of two AT1-receptor blockers (ARB) on AT1- and AT2-receptors and ACE densities and salt-induced cardiovascular changes. The hydrophilic ARB losartan (30 or 100 mg.kg.d) and the lipophilic ARB telmisartan (10 or 30 mg.kg.d) were administered once daily, and a high-salt diet was provided from 5 to 9 weeks. In Dahl S but not R rats, the high-salt diet caused marked hypertension, cardiac and kidney hypertrophy, and fibrosis. Both ARBs dose-dependently inhibited binding of Ang II to AT1-receptors and reversed the salt-induced increases in AT2-receptor densities in the CNS. Both ARBs at regular doses attenuated the salt-induced hypertension and, at high doses, prevented the increase in BP during the day but not during the night. Both ARBs similarly prevented high-salt-induced interstitial and perivascular fibrosis in the LV and RV as well as fibrosis in the aorta and renal tubules. RV hypertrophy was also prevented, but LV hypertrophy only partially, and kidney hypertrophy not at all. In Dahl S rats, AT1-receptor stimulation seems to play a critical role in salt-induced hypertension and fibrosis, but a lesser role in tissue 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".