Characterization of β‐adrenoceptor‐mediated relaxation signals in isolated pulmonary artery of Dahl salt‐sensitive hypertensive and normotensive rats
Bibliographic record
Abstract
1 Relaxant responses to isoprenaline (ISO) were studied in the pulmonary arteries of normotensive and hypertensive Dahl salt-sensitive rats. Rats were fed either a high-salt (4.0%) or low-salt (0.14%) diet for 5 weeks. Animals fed a high-salt diet (167/123±2/2 mmHg) had a significantly higher blood pressure compared to those fed a low-salt diet (127/87 ± 2/2 mmHg). 2 Isoprenaline-elicited relaxations were not significantly different in tissues from hypertensive compared to normotensive animals. Responses to ISO were significantly attenuated in denuded tissues and substantially more so in hypertensive compared to normotensive animals. While relaxant responses to ISO were resistant to inhibition by Nω-nitro-L-arginine methyl ester, indomethacin, glibenclamide or a combination of barium chloride and ouabain, they were inhibited by Rp-cAMP, anandamide and acidic buffer. The inhibitory impact of anandamide and acidic buffer was significantly greater in tissues from hypertensive vs. normotensive rats. 3 The resting membrane potential (Em) of smooth muscle cells was -67.0±0.7 mV (n=43 cells) and -66.6±0.8 mV (n=55 cells) in pulmonary arteries from hypertensive and normotensive rats, respectively. Isoprenaline produced hyperpolarization of E(m) which was significant in the blood vessels of hypertensive (-71.6±0.8 mV; n=29 cells) but not normotensive (-68.1±0.7 mV; n=49 cells) rats. 4 The endothelium plays a critical role in β-adrenoceptor-mediated relaxation but nitric oxide is not the mediator for the response. It is possible that the greater hyperpolarization caused by ISO in blood vessels from hypertensive compared to normotensive rats is mediated by activation of TASK-1 channels.
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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 | 0.001 |
| 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".