Pyrimidine nucleotides suppress K<sub>DR</sub>currents and depolarize rat cerebral arteries by activating Rho kinase
Bibliographic record
Abstract
This study examined whether, and by what signaling and ionic mechanisms, pyrimidine nucleotides constrict rat cerebral arteries. Cannulated cerebral arteries stripped of endothelium and pressurized to 15 mmHg constricted in a dose-dependent manner to UTP. This constriction was partly dependent on the depolarization of smooth muscle cells and the activation of voltage-operated Ca(2+) channels. The depolarization and constriction induced by UTP were unaffected by bisindolylmaleimide I, a PKC inhibitor that abolished phorbol ester (PMA)-induced constriction in cerebral arteries. In contrast, the Rhokinase inhibitor Y-27632 attenuated the ability of UTP to both constrict and depolarize cerebral arteries. With patch-clamp electrophysiology, a voltage-dependent delayed rectifying K(+) (K(DR)) current was isolated and shown to consist of a slowly inactivating 4-aminopyridine (4-AP)-sensitive and an -insensitive component. The 4-AP-sensitive K(DR) current was potently suppressed by UTP through a mechanism that was not dependent on PKC. This reflects observations that demonstrated that 1) a PKC activator (PMA) had no effect on K(DR) and 2) PKC inhibitors (calphostin C or bisindolylmaleimide I) could not prevent the suppression of K(DR) by UTP. The Rho kinase inhibitor Y-27632 abolished the ability of UTP to inhibit the K(DR) current, as did inhibition of RhoA with C3 exoenzyme. Cumulatively, these observations indicate that Rho kinase signaling plays an important role in eliciting the cerebral constriction induced by pyrimidine nucleotides. Moreover, they demonstrate for the first time that Rhokinase partly mediates this constriction by altering ion channels that control membrane potential and Ca(2+) influx through voltage-operated Ca(2+) 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".