Comparison of the contractile and calcium‐increasing properties of platelet‐activating factor and endothelin‐1 in the rat mesenteric artery and vein
Bibliographic record
Abstract
In the present study, the properties of endothelin-1 (ET-1) and platelet-activating factor (PAF) in inducing contraction and increased intracellular-free calcium level in rat mesenteric arteries and veins were studied. Furthermore, measurements of cytosolic ([Ca](c)) and nuclear ([Ca](n)) Ca(2+) were performed by confocal microscopy. PAF, at a concentration of 1 microM, and the selective ET(B) agonists, IRL-1620 and sarafotoxin S6C (100 nM), induced a marked constriction and increase in [Ca](i) in the mesenteric vein but not in the artery. On the other hand, endothelin-1 (1 - 100 nM) induced a significant concentration-dependent nifedipine-insensitive increase in tension and [Ca](i) in both arteries and veins. Those responses to endothelin-1 were significantly reduced by the ET(A) receptor antagonist, BQ-123 (10(-6) M), on both types of vessels, whereas the selective ET(B) receptor antagonist, BQ-788, inhibited only the venous responses. The mixed ET(A)/ET(B) receptor antagonist, SB 209670, reduced the ET-1-induced venous responses to the same level of that found in presence of BQ-123 or BQ-788. However, concomitant applications of BQ-123 and BQ-788 reduced the vasoconstriction below to that induced by ET(A) or ET(B) blockade without further affecting [Ca](i). PAF and the selective ET(B) agonists IRL-1620, induced a sustained increase of [Ca](c) and [Ca](n) solely in venous cells and ET-1 in both arterial and venous smooth muscle cells. Thus, PAF increases total intracellular calcium concentration and tension on the smooth muscle cells from venous origin only. Furthermore, ET-1-induced vasoactive as well as [Ca](i) and [Ca](n) increasing effects are mediated by distinct receptors on venous and arterial smooth muscles.
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 | 0.000 | 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) | 0.001 | 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".