Modulation of hydrogen sulfide synthesis improves heart function and endothelium-dependent vasorelaxation in diabetes
Bibliographic record
Abstract
Diabetes dramatically increases the risk of cardiovascular complications. The endothelial dysfunction and diastolic heart dysfunction are associated with a decreasing level of hydrogen sulfide (H2S) and inhibition of the activity of endothelial nitric oxide synthase (NOS) in diabetes. The aim of this study is to investigate the effect of modulation of H2S synthesis on heart functions and vasorelaxation in diabetes. The dl-propargylglycine and l-cysteine were administered intraperitoneally. H2S content in the heart tissue, markers of oxidative stress, inducible NOS and constitutive NOS (cNOS) activities, endothelium-dependent vasorelaxation of the aortic rings, and heart function were studied. We demonstrate that our combination increased H2S synthesis 13 times and cNOS activity 5 times in the heart tissue of diabetic rats. Increasing NO and H2S production caused improvement and restoration of endothelium-dependent relaxation of aorta, effective arterial elastance, and diastolic heart function in diabetic rats. The endothelium-dependent relaxation increased 2.4 times; effective arterial elastance decreased by 47%. The end-diastolic myocardial stiffness decreased 2.2 times. Thus, modulation of H2S synthesis leads to increased cNOS activity by up to 5 times in the cardiovascular system. Increasing NO and H2S production restored endothelium-dependent relaxation of aorta and improved heart function in diabetes.
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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) | 0.001 | 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".