A central role for KATP channels in arteriolar vasodilation and vasoconstriction signaling
Bibliographic record
Abstract
We tested for a central role of K ATP channels in vasoactivity of transverse arterioles (max diameter ≃ 40 μm) in an anesthetized hamster cremaster preparation in situ by testing whether 10 −5 M Glybenclamide (GLY, K ATP channel inhibitor) altered vasodilations induced by Acetylcholine (Ach, 10 −7 –10 −4 M); Adenosine (ADO,10 −9 –10 −4 M); S‐Nitroso‐N‐acetyl penicillamine (SNAP,10 −9 –10 −4 M) and vasoconstrictions induced by Phenylephrine (PHE 10 −9 –10 −4 M) and O 2 (10% and 21%). The effect of each compound was tested in the absence of GLY and again after 30 min of GLY incubation. Recovery from the effects of GLY was confirmed by repeating the experiment after 30 min washout of GLY. GLY significantly inhibited dilations produced by ACh at 10 −7 –10 −5 Mbut not 10 −4 M. GLY significantly inhibited dilations resulting from 10 −9 –10 −4 M ADO and 10 −9 –10 −4 M SNAP with less inhibition at higher concentrations. GLY inhibited all vasoconstrictions induced by O 2 and 10 −9 ‐ 10 −6 M PHE but not 10 −5 or 10 −4 M. The ability of 10 −7 –10 −4 M GLY to inhibit a 10 −6 M pinacidil (K ATP channel opener) dilation was used to test to indicate the lack of potential for non‐specific effects. Our data show that GLY inhibited a vasoactive component of each vasodilator and vasoconstrictor tested suggesting that K ATP channels play a central role in the vasoreactivity of arterioles. Supported by NSERC Canada and PREA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".