Enhanced Expression of the Endothelin-1 Gene in Blood Vessels of DOCA-Salt Hypertensive Rats: Correlation with Vascular Structure
Bibliographic record
Abstract
Endothelin (ET)-1 is a potent vasoconstrictor peptide which is also endowed with hypertrophic and mitogenic properties. Enhanced ET-1 gene expression in blood vessels of rats with hypertension induced by deoxycorticosterone acetate (DOCA)-salt has been previously demonstrated. The objective of this study was: (1) to investigate the individual effects of salt and DOCA, and of the development of hypertension in DOCA-salt-hypertensive rats, on ET-1 gene expression in blood vessels; and (2) to correlate the presence of enhanced ET expression and the severity of vascular hypertrophy. By providing salt and/or DOCA to rats which were or were not unilaterally nephrectomized, groups of rats with variable degrees of blood pressure elevation were generated. Increased abundance of ET-1 mRNA and a greater content of immunoreactive ET-1 were found with progression of hypertension in aorta and the mesenteric arterial bed only in unilaterally nephrectomized DOCA-salt-treated rats (DOCA-salt-hypertensive rats). Vascular expression of ET-1 was not enhanced in other DOCA-or salt-treated rats, even when blood pressure rose to a mean systolic pressure of 180 mm Hg. The wet weight of aorta and the mesenteric arterial bed, the media thickness, the media cross-sectional area, and the media-to-lumen ratio of mesenteric small arteries of all groups of rats exhibited a close correlation with systolic blood pressure. In DOCA-salt-hypertensive rats after 5 weeks, in which overexpression of ET-1 was maximal, the vascular morphometric parameters were excessive for the level of systolic blood pressure. However, in DOCA-salt-hypertensive rats treated with the combined ETA/ETBET receptor antagonist bosentan, vascular morphometry correlated closely with blood pressure, even though blood pressure was only slightly lower than than of untreated DOCA-salt-hypertensive rats. These data support the hypothesis that ET-1 gene overexpression in blood vessels may accentuate vascular hypertrophy in some forms of hypertension.
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 | 0.001 | 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".