Over-expression of calpastatin inhibits calpain activation and attenuates myocardial dysfunction during endotoxaemia
Bibliographic record
Abstract
AIMS: Lipopolysaccharide (LPS) induces cardiomyocyte caspase-3 activation and proinflammatory factors, in particular tumour necrosis factor-alpha (TNF-alpha) production, both of which contribute to myocardial dysfunction during sepsis. The present study was to investigate the roles of calpain/calpastatin system in cardiomyocyte caspase-3 activation, TNF-alpha expression, and myocardial dysfunction during LPS stimulation. METHODS AND RESULTS: In cultured adult rat cardiomyocytes, LPS (1 microg/mL) induced calpain and caspase-3 activity, and up-regulated TNF-alpha expression. These effects of LPS were abrogated by over-expression of calpastatin, an endogenous calpain inhibitor, transfection of calpain-1 siRNA, or various pharmacological calpain inhibitors. Furthermore, blocking gp91(phox)-NADPH oxidase prevented calpain and caspase-3 activation and decreased TNF-alpha expression in LPS-stimulated cardiomyocytes. To investigate the role of calpastatin in endotoxaemia, transgenic mice with calpastatin over-expression (CAST-Tg) and wild-type mice were treated with LPS (4 mg/kg, i.p.) or saline in the presence of calpain inhibitor-III (10 mg/kg, i.p.) for 4 h, and their heart function was measured with a Langendorff system. Over-expression of calpastatin significantly attenuated myocardial dysfunction (P < 0.05). Consistently, calpain activity, caspase-3 activity, and TNF-alpha expression were also reduced in CAST-Tg and calpain inhibitor-III compared with wild-type and vehicle-treated hearts, respectively. CONCLUSION: gp91(phox)-NADPH oxidase-mediated calpain-1 activation induces caspase-3 activation and TNF-alpha expression in cardiomyocytes during LPS stimulation. Over-expression of calpastatin inhibits calpain activation and improves myocardial function in endotoxaemia. The present study suggests that targeting calpain/calpastatin system may be a potential therapeutic intervention for septic hearts.
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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) | 0.001 | 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 | 0.001 |
| 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".