Bibliographic record
Abstract
PURPOSE OF REVIEW: The purpose of this review of the vascular biology of endothelin-1 (ET-1) is the presentation of recent data including the use of endothelin-receptor antagonists for the treatment of hypertension. RECENT FINDINGS: Recent discoveries regarding the pharmacology of ET-1 in the vascular wall and its effect on signalling transduction and gene expression in vascular smooth muscle cells are reviewed, as well as mechanisms controlling blood pressure in normal conditions and in hypertension, discovered using genetically modified models. Finally, studies of endothelin antagonists for treatment of hypertension will be summarized. SUMMARY: Pharmacological studies demonstrate that calcitonin gene-related peptide is a physiological antagonist of ET-1 that terminates the long-lasting contraction induced by ET-1. ET-1-induced rise in [Ca]i involves the newly described stromal-interaction molecule-1/orai1 pathway to increase store-operated calcium entry. Sensitization of contractile proteins to calcium during ET-1-induced contraction of vascular smooth muscle cells includes activation of p63Rho guanine nucleotide exchange factor and increase in O-GlcNAcylation, a form of posttranslational modification. Genetically modified mice have demonstrated that endothelial ET-1 is involved in the regulation of normal blood pressure and development of vascular disease. Gene expression induced by endothelial overexpression of ET-1 in mice demonstrated upregulation of lipid metabolism, inflammatory and signal transduction genes. Crossing these mice with apoE mice was associated with acceleration of atherosclerosis on a high-fat diet and blood pressure elevation. Finally, the DORADO clinical trial has demonstrated that the ETA-receptor antagonist darusentan is able to decrease the blood pressure of patients with refractory hypertension.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.009 |
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".