EFFECT OF REACTIVE OXYGEN ON MECHANISMS COUPLING EXCITATION OF SMOOTH MUSCLE CELLS GUINEA PIG URETER: PP.21.345
Bibliographic record
Abstract
Objective: Reactive oxygen species claim to the role of signaling molecules, especially towards the realization of oxidative stress. However, the methods and extent of their interaction with key intracellular signaling and effector systems of regulation of excitation-coupling in smooth muscle cells continue to actively explored. This study examines the effect of reactive oxygen species in the mechanisms of regulation by cyclic nucleotides and calcium signaling system of electrical and contractile activity of smooth muscle cells. Design and Methods: The method of double sucrose bridge to study the effect of hydrogen peroxide and nitric oxide on electrical and contractile properties of smooth muscle cells of guinea pig ureter, caused by electric stimulus. To investigate the role of C-kinase branch of the calcium and nitric oxide in the development of the action potential and contractile responses of smooth muscle using phenylephrine and sodium nitroprusside, respectively. Results: Found opposite effect of hydrogen peroxide and cyclic nucleotides on C-kinase branch of the regulation of excitation-coupling in smooth muscle cells. With additional activation protenkinase with phenylephrine changing effects of hydrogen peroxide and sodium nitroprusside: electrical and contractile activity are inhibited. Similar effects have evolved against the background of inhibitors of enzymes break down hydrogen peroxide and cyclic nucleotides. Thus, the C-kinase branch of the calcium signaling system is one of the major intracellular targets, the effect on reactive oxygen species that leads to the inhibition of electrical and contractile activity of smooth muscle cells of guinea pig ureter.
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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) | 0.007 | 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".