The emerging role of Ca2+ sensitivity regulation in promoting myogenic vasoconstriction
Bibliographic record
Abstract
Growing evidence suggests that mechanisms which regulate the Ca2+ sensitivity of the contractile apparatus in vascular smooth muscle cells form the backbone of pressure-induced myogenic vasoconstriction. The modulation of Ca2+ sensitivity is suited to partially uncouple intracellular Ca2+ from constriction, thereby allowing the maintenance of tone with fully conserved function of other Ca2+-dependent processes. Following a brief review of 'classical' Ca2+-dependent signalling pathways involved in the myogenic response, the present review describes the emerging mechanisms that promote myogenic vasoconstriction via modulation of Ca2+ sensitivity. For the purpose of this review, Ca2+ sensitivity reflects the dynamic equilibrium between myosin light-chain kinase and myosin light-chain phosphatase activities in terms of its impact on vascular tone. Several signalling pathways (PKC, RhoA/Rho kinase, ROS) which have been identified as prominent regulators of Ca2+ sensitivity will be discussed. Although Ca2+ sensitivity modulation is clearly an important component of the myogenic response, attempts to integrate it into existing mechanistic models resulted in a two-phase model, with a predominant Ca2+-dependent 'initiation/trigger' phase followed by a Ca2+-independent 'maintenance' phase. We propose that the two-phase model is rather simplistic, because the literature reviewed here demonstrates that Ca2+-dependent and -independent mechanisms do not operate in isolation and are important at all stages of the response. The regulation of Ca2+ sensitivity, as an equal and complimentary partner of Ca2+-dependent processes, significantly enhances our understanding of the complex array of signalling pathways, which ultimately mediate the myogenic response.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".