Potential involvement of actin cytoskeleton reorganization in generation of the arterial myogenic response
Bibliographic record
Abstract
The myogenic response of resistance arteries to intravascular pressure is due to cellular processes intrinsic to vascular smooth muscle cells. Myogenic constriction of cerebral arteries involves the activation and inhibition of myosin light chain kinase and phosphatase, respectively, to increase myosin light chain phosphorylation (pLC 20 ) and permit cross‐bridge cycling. However, equivalent levels of pLC 20 are detected at 80 mmHg when pressurized vessels flash‐frozen prior to or after spontaneous development of myogenic tone during the equilibration period are compared. Also, myogenic constriction evoked by a pressure step to 80 mmHg is observed following a maximal increase in pLC 20 (~50%) due to 5‐HT stimulation, but there is no further increase in pLC 20 , or change in p‐caldesmon or p‐calponin. Latrunculin B (10 μM), that binds free G‐actin, had no effect on constriction due to 5‐HT or 80 mmHg alone, but it reversed contractions due to the combination of 5‐HT and 80 mmHg, or pressure alone at 120 mmHg, that are associated with maximal levels of pLC 20 . Our findings indicate that re‐establishment of myofilament‐actin cytoskeleton contacts during equilibration is necessary for myogenic constriction, and dynamic reorganization of the cytoskeleton may be required to faciltiate increased force generation in the myogenic response when peak levels of pLC 20 are attained. (Supported by CIHR MOP‐97988 and AIHS).
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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 | 0.000 |
| 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".