Role of Calcium Channels in the Protective Effect of Hydrogen Sulfide in Rat Cardiomyoblasts
Bibliographic record
Abstract
BACKGROUND: Hydrogen sulfide contributes to the reduction of oxidative stress-related injury in cardiomyocytes but the underlying mechanism is still unclear. AIMS: Here we investigated the role of voltage-operated calcium channels (VOCCs) as mediators of the beneficial effect of H2S against oxidative stress in cultured rat cardiomyoblasts (H9c2). METHODS: Intracellular calcium signals were measured by fluorimetric live cell imaging and cell viability by colorimetric assay. RESULTS: Treatment with H2S donor (NaHS 10 µM) or Nifedipine (10 µM) decreased resting intracellular calcium concentration [Ca]i, suggesting that L-type VOCCs are negatively modulated by H2S. In the presence of Nifedipine H2S was still able to lower [Ca]i, while co-incubation with Nifedipine and Ni(2+) 100 µM completely prevented H2S-dependent [Ca]i decrease, suggesting that both L-type and T-type VOCCs are inhibited by H2S. In addition, in the same experimental conditions, H2S triggered a slow increase of [Ca]i whose molecular nature remains to be clarified. Pretreatment of H9c2 with NaHS (10 µM) significantly prevented cell death induced by H2O2. This effect was mimicked by pretreatment with L-Type calcium channel inhibitor Nifedipine (10 µM). CONCLUSIONS: The data provide the first evidence that H2S protects rat cardiomyoblasts against oxidative challenge through the inhibition of L-type calcium channels.
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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".