Chronic β-adrenoreceptor stimulation in vivo decreased Bcl-2 and increased Bax expression but did not activate apoptotic pathways in mouse heart
Bibliographic record
Abstract
Prolonged activation of the sympathetic nervous system is deleterious to heart function. In vitro beta1-adrenergic activation promotes apoptosis, whereas beta2-adrenergic activation reduces apoptosis in cultured adult cardiomyocytes. To determine the effect of chronic catecholamine infusion in vivo, we measured apoptosis marker expression in C57Bl/6 and catecholamine-sensitive Egr-1 deficient mice after treatment with the nonspecific beta-adrenergic agonist, isoproterenol, the beta1-specific agonist, dobutamine, or the beta2-specific agonist, metaproterenol. Antiapoptotic and proapoptotic protein expression, cytochrome c release and caspases 3, 9, and 12 activation products were measured on immunoblots. Catecholamine-treated mice had decreased Bcl-2 and increased Bax and BNIP1 expression, suggesting mitochondria-dependent apoptosis pathway activation. However, cytosolic cytochrome c or caspase 3 or 9 activation products were not detected. In mice, increased molecular chaperone expression and caspase 12 activation characterize endoplasmic-reticulum-driven apoptosis. Clusterin expression was increased in catecholamine-treated mice, but GRP78 expression was not increased, and caspase 12 activation products were not detected. Thus, neither the mitochondrial nor the endoplasmic apoptotic pathway was fully activated. Further, Egr-1 deficiency did not increase cardiac apoptosis. We conclude that although chronic in vivo infusion of beta1- or beta2-adrenergic receptor agonists partially activates the apoptosis program, full activation of the caspase cascade requires more, or other, cardiac insults.
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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) | 0.002 | 0.001 |
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".