Investigation of Hydrogen Peroxide/Reactive Oxygen Species-Related Signaling on Vasoactive Responses in Myogenic Resistance Arteries
Bibliographic record
Abstract
The study focuses on the investigation of H2O2 and reactive oxygen species as a putative contributor to endothelium-derived hyperpolarization in myogenically-active resistance arteries, and its contribution to the responses evoked by established vasoactive agents. In particular, I hypothesize that H2O2 and/or ROS serve as physiologic, vasoactive agents in myogenically-active resistance arteries in normal tissue and/or in arteries exhibiting endothelial dysfunction (i.e. conditions with reduced NO bioavailability). Using a number of different experimental protocols such as lucigenin molecular assays provided the amount of NADPH-oxidase inhibition in the presence of apocynin, ML171 and VAS2870, where pressure myography experiments showed the response of rat cremaster arteries to external hydrogen peroxide, indicating a role for hydrogen peroxide within the vasculature. Pressure myography experiments also showed the arterial response to the different NADPH-oxidase inhibitors in terms of baseline myogenic tone. Application of apocynin (10µM and 100µM) further constricted the vessels, ML171 resulted in a transient relaxation, with a full relaxation seen with exposure to higher concentrations (0.1µM, 0.3µM, 10µM) of VAS2870. Responses to established vasoactive agents were observed in the presence of the NADPH-oxidase inhibitors, showing reduced responses at ~50% NADPH-oxidase inhibition, with enhanced responses at greater NADPH-oxidase inhibition. The study shows that the three structurally diverse NADPH-oxidase inhibitors differentially affect basal myogenic tone at concentrations (~IC50 values) that produce comparable inhibition of vascular NADPH-oxidase activity.
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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 | 0.001 |
| 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".