Involvement of cardiomyocyte apoptosis in myocardial injury of hereditary epileptic rats
Bibliographic record
Abstract
Many clinical cases have been reported where epilepsy profoundly influenced the pathophysiological function of the heart; however, the underlying mechanisms were not elucidated. We use the tremor (TRM) rat as an animal model of epilepsy to investigate the potential mechanisms of myocardial injury. Cardiac functions were assessed by arrhythmia score, heart rate, heart:body mass ratio, and hemodynamic parameters including left ventricular systolic pressure (LVSP), left ventricular end-diastolic pressure (LVEDP), and maximum rate of left ventricular pressure rise and fall (+dp/dtmax and -dp/dtmax). Catecholamine level was detected by HPLC. Apoptotic index was estimated by TUNEL assay. The expressions of Bcl-2, Bax, caspase-3, extracellular signal-regulated protein kinase (ERK), c-Jun NH2-terminal protein kinases (JNK), and p38 were evaluated by Western blot. The results indicated that there existed cardiac dysfunction and cardiomyocyte apoptosis, accompanied by increasing catecholamine levels in TRM rats. Further investigation revealed that apoptosis was mediated by reducing Bcl-2, upregulating Bax, and activating caspase-3. Additional experiments demonstrated that P-ERK1/2 was decreased, whereas P-JNK and P-p38 were up-regulated. Our results suggest that the sympathetic nervous system activation and cardiomyocyte apoptosis are involved in the myocardial injury of TRM rats. The mechanisms of apoptosis might be associated with the activation of the mitochondria-initiated and the mitogen-activated protein kinase pathways.
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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".