Bibliographic record
Abstract
The role of endothelins (ET) in blood pressure elevation remains controversial. Data supporting involvement of the ET system in different forms of genetic and experimental hypertension in the rat has appeared in the literature in recent years. Production of endothelin (ET)-1 may be enhanced in several experimental rat models of hypertension. Examples of these exhibiting increased preproendothelin-1 mRNA or peptide in the vasculature include salt-sensitive forms like deoxycorticosterone (DOCA)-salt hypertension, DOCA-salt treated spontaneously hypertensive rat (SHR) and Dahl salt-sensitive rats, and other models like stroke-prone SHR, angiotensin II-infused rats and fructose-fed rats, and possibly 1-kidney 1 clip (1-K 1C) Goldblatt hypertensive rats. SHR, 2-kidney 1 clip (2-K 1C) Goldblatt hypertensive rats and chronic N(omega)-nitro-L-arginine methyl ester (L-NAME)-treated hypertensive rats do not appear to exhibit an ET-1 component. Significant vascular growth, and a hypotensive response and regression of vascular growth after treatment with an ET antagonist demonstrate the endothelin-dependency present in some hypertensive models. Severity of high blood pressure elevation, salt-sensitivity and insulin resistance may be common denominators of involvement of the ET system in hypertension. ET antagonism in hypertension may result in regression of vascular damage, prevention of stroke and renal failure and improvement of heart failure. Whether the same is true in human hypertension remains to be established.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".