Therapeutic potential of the epidermal growth factor receptor transactivation in hypertension: a convergent signaling pathway of vascular tone, oxidative stress, and hypertrophic growth downstream of vasoactive G-protein-coupled receptors?This paper is one of a selection of papers published in this Special Issue, entitled Young Investigators' Forum.
Bibliographic record
Abstract
The concurrence of enhanced vascular tone, oxidative stress, and hypertrophic growth is a hallmark of hypertension, the condition characterized by sustained elevated blood pressure. However, it is unclear how and why such apparently distinct processes coincide in hypertension. Elevated levels of certain vasoactive G-protein-coupled receptor agonists (such as catecholamines, endothelin-1, and angiotensin II) can explain, at least in part, the development and progression of many hypertensive disorders. Here, we review findings made by other investigators and ourselves suggesting that enhanced vascular tone, oxidative stress, and hypertrophic growth characteristically induced by these agonists involve the transactivation of growth factor receptors. The first step in this transactivation mechanism is agonist-induced activation of metalloproteinase-dependent shedding of growth factors. Shed growth factors then trigger intracellular signaling cascades necessary for growth, production of reactive oxygen species, and maintenance of vascular tone. If this hypothesis is proven generally correct, then transactivation blockers have general therapeutic potential in hypertension regardless of the causative agonist.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".