Glutathione enhances endothelium-mediated control of coronary vascular resistance via a ROS- and NO intermediate-dependent mechanism
Bibliographic record
Abstract
The purpose of this investigation was to determine the effects of acute physiological GSH administration on endothelium-mediated reduction in coronary vascular resistance (CVR) using isolated perfused Sprague-Dawley rat hearts. A dose-response curve to GSH was conducted to determine a threshold concentration of GSH. We demonstrate that 30 μM GSH was sufficient to reduce CVR, and maximal dilation was achieved with 1 mM. In subsequent experiments, GSH was administered at concentrations of 0 [control (CON)], 1 μM, or 10 μM (GSH(10)), and dose-response curves to the endothelial agonist bradykinin (BK) were constructed. These GSH concentrations were chosen because of the physiological relevance and because the effects of GSH on BK action could be assessed independent of baseline differences in CVR. Sensitivity to BK (EC(50)) was enhanced in GSH(10) vs. CON (P < 0.05). This enhancement remained in the presence of nitric oxide (NO) synthase inhibition l-(ω)nitro-l-arginine (lNAME) and/or soluble guanylate cyclase (sGC) inhibition. Treatment with 4-hydroxy (2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPOL) enhanced the sensitivity to BK in CON, similar to the effects of GSH(10) and GSH(10) + TEMPOL. However, the GSH(10)-dependent enhancement of EC(50) observed in the presence of lNAME did not occur in the presence of lNAME + TEMPOL or in the presence of lNAME + sGC inhibition and NO scavenging. Collectively, these results suggest that GSH enhances BK-mediated dilation and reduction in CVR through an antioxidant-dependent mechanism that involves a NO intermediate but is unrelated to acute production of NO and GC-dependent effects of NO. These results suggest a mechanism whereby physiologically relevant levels of GSH modulate the endogenous reactive oxygen species and NO control of endothelium-dependent coronary vascular function.
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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".