Melatonin attenuates hypertension-related proarrhythmic myocardial maladaptation of connexin-43 and propensity of the heart to lethal arrhythmias
Bibliographic record
Abstract
We hypothesized that the pineal hormone melatonin, which exhibits cardioprotective effects, might affect myocardial expression of cell-to-cell electrical coupling protein connexin-43 (Cx43) and protein kinase C (PKC) signaling, and hence, the propensity of the heart to lethal ventricular fibrillation (VF). Spontaneously hypertensive (SHR) and normotensive Wistar rats fed a standard rat chow received melatonin (40 μg/mL in drinking water during the night) for 5 weeks, and were compared with untreated rats. Melatonin significantly reduced blood pressure and normalized triglycerides in SHR, whereas it decreased body mass and adiposity in Wistar rats. Compared with healthy rats, the threshold to induce sustained VF was significantly lower in SHR (18.3 ± 2.6 compared with 29.2 ± 5 mA; p < 0.05) and increased in melatonin-treated SHR and Wistar rats to 33.0 ± 4 and 32.5 ± 4 mA. Melatonin attenuated abnormal myocardial Cx43 distribution in SHR, and upregulated Cx43 mRNA, total Cx43 protein, and its functional phosphorylated forms in SHR, and to a lesser extent, in Wistar rat hearts. Moreover, melatonin suppressed myocardial proapoptotic PKCδ expression and increased cardioprotective PKCε expression in both SHR and Wistar rats. Our findings indicate that melatonin protects against lethal arrhythmias at least in part via upregulation of myocardial Cx43 and modulation of PKC-related cardioprotective signaling.
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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".