Cardiac contractile dysfunction in J2N-k cardiomyopathic hamsters is associated with impaired SR function and regulation
Bibliographic record
Abstract
Although dilated cardiomyopathy (DCM) is known to result in cardiac contractile dysfunction, the underlying mechanisms are unclear. The sarcoplasmic reticulum (SR) is the main regulator of intracellular Ca2+ required for cardiac contraction and relaxation. We therefore hypothesized that abnormalities in both SR function and regulation will contribute to cardiac contractile dysfunction of the J2N-k cardiomyopathic hamster, an appropriate model of DCM. Echocardiographic assessment indicated contractile dysfunction, because the ejection fraction, fractional shortening, cardiac output, and heart rate were all significantly reduced in J2N-k hamsters compared with controls. Depressed cardiac function was associated with decreased cardiac SR Ca2+ uptake in the cardiomyopathic hamsters. Reduced SR Ca2+ uptake could be further linked to a decrease in the expression of the SR Ca(2+)-ATPase and cAMP-dependent protein kinase (PKA)-mediated phospholamban (PLB) phosphorylation at serine-16. Depressed PLB phosphorylation was paralleled with a reduction in the activity of SR-associated PKA, as well as an elevation in protein phosphatase activity in J2N-k hamster. The results of this study suggest that an alteration in SR function and its regulation contribute to cardiac contractile dysfunction in the J2N-k cardiomyopathic hamster.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".