Hydrogen sulfide contributes to cardioprotection during ischemia–reperfusion injury by opening K<sub>ATP</sub>channels
Bibliographic record
Abstract
The present study was undertaken to investigate the protective effect of H2S against myocardial ischemia-reperfusion (I/R) injury and its possible mechanism by using isolated heart perfusion and patch clamp recordings. Rat isolated hearts were Langendorff-perfused and subjected to a 30-minute ischemia insult followed by a 30-minute reperfusion. The heart function was assessed by measuring the LVDP, +/-dP/dt max, and the arrhythmia score. The results showed that the treatment of hearts with a H2S donor (40 micromol/L NaHS) during reperfusion resulted in significant improvement in heart function compared with the I/R group (LVDP recovered to 85.0% +/- 6.4% vs. 35.0% +/- 6.1%, +dP/dt max recovered to 80.9% +/- 4.2% vs. 43.0% +/- 6.4%, and -dP/dt max recovered to 87.4% +/- 7.3% vs. 53.8% +/- 4.9%; p < 0.01). The arrhythmia scores also improved in the NaHS group compared with the I/R group (1.5 +/- 0.2 vs. 4.0 +/- 0.4, respectively; p < 0.001). The cardioprotective effect of NaHS during reperfusion could be blocked by an ATP-sensitive potassium channel (K ATP) blocker (10 micromol/L glibenclamide). In single cardiac myocytes, NaHS increased the open probability of K ATP channels from 0.07 +/- 0.03 to 0.15 +/- 0.08 after application of 40 mumol/L NaHS and from 0.07 +/- 0.03 to 0.36 +/- 0.15 after application of 100 mumol/L NaHS. These findings provide the first evidence that H2S increases the open probability of K ATP in cardiac myocytes, which may be responsible for cardioprotection against I/R injury during reperfusion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".