Ca <sup>2+</sup> Sensitization Contributes to Myogenic Control of Arterial Diameter in Skeletal Muscle Resistance Arteries
Bibliographic record
Abstract
The myogenic response of resistance arteries to changes in intravascular pressure is a crucial determinant of peripheral vascular resistance. Ca2+ sensitization via inhibition of myosin light chain phosphatase (MLCP), due to phosphorylation of the MLCP targeting subunit 1 (MYPT1) by Rho-associated kinase (ROK), contributes to myogenic constriction of cerebral arteries. As it is unknown if this occurs in non-cerebral vessels we assessed the role of Ca2+ sensitization in the myogenic response of skeletal muscle arterioles (rat gracilis and cremaster). ROK inhibition with H1152 suppressed myogenic constriction between 40 and 120 mmHg. Increasing pressure from 10 to 80 mmHg caused an H1152-sensitive increase in MYPT1-T855 and myosin regulatory light chain (LC20) phosphorylation, but phospho-MYPT1-T697 and -CPI-17 levels were unchanged. Gracilis and cremaster arteries showed high basal levels of LC20 phosphorylation at 10 mmHg, comparable to the level in cerebral arteries at 60 mmHg. These findings suggest that Ca2+ sensitization contributes to the myogenic response of skeletal muscle resistance arteries. High basal LC20 phosphorylation may be the result of increased basal MYPT1 phosphorylation and indicates that myogenic constriction occurs over a narrow range of LC20 phosphorylation. (Support from CIHR MOP-97988 to WCC, AHFMR/CIHR to AEY and Spanish Ministry of Education & Science to OC).
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".