REGULATION OF CONTRACTILE ACTIVITY OF SMOOTH MUSCLE CELLS BY REACTIVE OXYGEN SPECIES: EVIDENCE FOR CYTOSKELETON-MEDIATED SIGNALING: PP.21.344
Bibliographic record
Abstract
Objective: Recent studies showed that the cytoskeleton is the primary target of reactive oxygen species (ROS). This study examines the role of cytoskeleton network in regulation of vascular smooth muscle cell contractions by ROS. Design and Methods: Contractile responses of rat aorta strips triggered by depolarization and activation of α1-adrenergic receptors with high K+-medium and phenylephrine, respectively, were measured as increments of isometric tension. Cytoskeleton elements were modified with colchicines (10 μM), cytochalasin D (0,5 μM) and nocodazole (10 μM). Production of ROS was evoked by hydrogen peroxide (500 μM). Results: Hydrogen peroxide increased contractions triggered by high-K+ -medium by 25,2 ± 2,9% (p < 0,05) and reduced the amplitude of phenylephrine-induced contractile responses by 51,7 ± 2,9% (p < 0,05). Colchicine and cytochalasin D, but not nocodazole increased the relaxing effect of hydrogen peroxide in the reduction of phenylephrine-induced contractions by 83,5 ± 4,1% (p < 0,05) and 89,4 ± 2,9% (p < 0,05), respectively, but did not affect modulation by ROS of contractions triggered by depolarization. Conclusion: Our data demonstrate the involvement of cytoskeleton-mediated signaling in regulation by ROS of vascular smooth muscle cell contractions caused by activation of - α1-adrenergic receptors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".