Vasoconstrictor actions of isoprostanes <i>via</i> tyrosine kinase and Rho kinase in human and canine pulmonary vascular smooth muscles
Bibliographic record
Abstract
1. We examined the effects of several E-ring and F-ring isoprostanes on mechanical activity in pulmonary artery and vein. 2. 8-iso PGE(2) and 8-iso PGF(2 alpha) were powerful spasmogens in human vasculature and in canine pulmonary vein. 8-iso PGE(1) and 8-iso PGF(2 beta) also exhibited moderate spasmogenic activity in canine pulmonary vein; 8-iso PGF(1 alpha), 8-iso PGF(1beta), and 8-iso PGF(3 alpha) were generally ineffective. Canine pulmonary arteries did not exhibit excitatory responses to any of the isoprostanes. 3. The spasmogenic effects of 8-iso PGE(2) were markedly attenuated by the TP-receptor blocker ICI 192605 and by the EP-receptor blocker AH 6809 (-log K(B)=8.4 and 5.7, respectively). PGE(2) was a very weak agonist ( approximately 100 fold less so than 8-iso PGE(2)). 4. In the presence of ICI 192605 (10(-6) M), 8-iso PGE(1) evoked modest dose-dependent relaxations in human and canine pulmonary vein, and in canine pulmonary artery, but not in the human pulmonary artery. The other isoprostanes were generally ineffective as vasodilators in the pulmonary vasculature of both species. 5. The spasmogenic effects of 8-iso PGE(2) and 8-iso PGF(2 alpha) did not involve elevation of [Ca(2+)](i). 6. 8-iso PGE(2)-evoked contractions were blocked by inhibitors of tyrosine kinase (genistein) and Rho kinase (Y 27632 and HA 1077), but not by inhibitors of protein kinase C (calphostin C or chelerythrine), mitogen-activated protein kinase kinase (PD 98059) or p38-kinase (SB 203580). 7. The actions of 8-isoprostanes in the lungs are compound-, species- and tissue-dependent. Several isoprostanes evoke vasoconstriction: in the case of 8-iso PGE(2), this involves activation of TP-receptors, tyrosine kinases and Rho kinases. 8-iso PGE(1) is also able to cause vasodilation.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".