Determinants of renal microvascular response to ACh: afferent and efferent arteriolar actions of EDHF
Bibliographic record
Abstract
The renal microvascular actions of ACh were investigated using the in vitro perfused hydronephrotic rat kidney. ACh reversed ANG II-induced vasoconstriction in the afferent and efferent arteriole by 106 +/- 2 and 75 +/- 5%, respectively. Inhibition of nitric oxide synthase [NOS; 100 micromol/l N(G)-nitro-L-arginine methyl ester (L-NAME)] and cyclooxygenase (COX; 10 micromol/l ibuprofen) prevented the sustained response of the afferent arteriole but did not reduce the magnitude of the initial dilation (97 +/- 7%). However, NOS/COX inhibition abolished the response of the efferent arteriole. The underlying mechanisms mediating this endothelium-derived hyperpolarizing factor (EDHF)-like response were characterized using K channel blockers. Ba (100 micromol/l), tetraethylammonium (1 mmol/l), and ouabain (3 mmol/l) had no effect, arguing against a role of an inward rectifier K channel, large-conductance Ca-activated K channel, or Na,K-ATPase. Charybdotoxin (10 nmol/l) and apamin (1.0micromol/l) attenuated the response when administered alone (63 +/- 7% and 37 +/- 5%, respectively) and abolished the response when coadministered (0.1 +/- 1.0%). These findings indicate that, as in other vascular beds, the renal EDHF-like response to ACh involves K channels that are sensitive to a combination of apamin and charybdotoxin. Our finding that EDHF modulates preglomerular, but not postglomerular, tone is consistent with the evolving concept that vasomotor mechanisms in cortical efferent arterioles do not involve voltage-gated Ca entry.
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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".