Position of Src tyrosine kinases in the interaction between angiotensin II and endothelin in in vivo vascular protein synthesis
Bibliographic record
Abstract
OBJECTIVES: Endothelin is a necessary intermediate in the trophic action of angiotensin II during hypertension-induced resistance artery remodeling in vivo. Since Src tyrosine kinases can be activated by both agonists, we studied their role in the trophic action of angiotensin II, endothelin and their interaction in rat small mesenteric arteries. METHODS AND RESULTS: Twenty-six hour infusion of high-dose angiotensin II (400 ng/kg per min) or endothelin (5 pmol/kg per min) via osmotic pumps significantly enhanced vascular protein synthesis in vivo. When angiotensin II was used as the trophic stimulus, treatment with a Src tyrosine kinase inhibitor (PP2, 0.5 mg/kg, starting at 21 h of the 26-h stimulation) produced a significant attenuation of extracellular regulated kinase 1 (ERK 1) phosphorylation and of protein synthesis. However, PP2 administered at 21 h or throughout the 26-h infusion did not abrogate the elevation of protein synthesis induced by endothelin. Moreover, endothelin did not enhance the phosphorylation of ERK 1/2 in small mesenteric arteries. We confirmed that angiotensin II stimulated the expression of prepro-endothelin mRNA in small mesenteric arteries in a Src-dependent manner, as the response was inhibited by PP2. To support the specific inhibitory activity of PP2 on Src tyrosine kinases in vivo, angiotensin II-induced phosphorylation of cortactin, a Src-specific substrate, was inhibited by PP2. CONCLUSION: Src tyrosine kinases represent an important signaling element in angiotensin II-induced endothelin production in small arteries in vivo. However, Src tyrosine kinases did not appear to contribute to the trophic signaling of endothelin, suggesting that they lie upstream of endothelin in the angiotensin II-endothelin-protein synthesis cascade.
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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 | 0.000 |
| 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) | 0.002 | 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".