Prostaglandins do not modulate renal haemodynamic responses to endothelin‐1 (ET‐1) in conscious lambs
Bibliographic record
Abstract
Previously, we showed that ET‐1 elicits no renal vasoconstriction when administered to conscious newborn lambs (Smith et al . 2002, 2005). To test the hypothesis that vasodilatory prostaglandins modulate the renal haemodynamic response to ET‐1 during postnatal maturation, experiments were carried out in two age groups of conscious, chronically instrumented lambs: group I (8 – 17 days; n=4) and group II (32 – 57 days; n=6). Mean arterial (MAP) and venous pressures (MVP) as well as renal blood flow (RBF) were measured at 20 sec interval for one‐min before (Control, C) and five‐min after intra‐arterial (I.A.) injection of ET‐1 (250 ng/kg) both before and after intra‐venous (I.V.) injection of vehicle (Veh, experiment one) and the non‐selective cyclo‐oxygenase inhibitor, indomethacin (Indo, 1 mg/kg, experiment two). Renal vascular resistance (RVR) was calculated as (MAP‐MVP)/RBF. In group I, RVR was 41.1±9.4 mmHg·mL −1 ·min·g during C and 33.3±4.2 mmHg·mL −1 ·min·g at 1 min after ET‐1. In group II, RVR increased from 32.9±7.0 to 58.3±40.7 mmHg·mL −1 ·min·g at 1 min after ET‐1 and 61.3±33.8 mmHg·mL −1 ·min·g at 2 min. Neither Veh nor Indo had any significant effect on these RVR responses to ET‐1 in either group. Therefore, prostaglandins do not appear to modulate the renal haemodynamic responses to ET‐1 in conscious lambs during postnatal maturation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".