Examining the role of the adenosine monophosphate-activated protein kinase α2 (AMPKα2) subunit on sarcoplasmic reticulum calcium-ATPase (SERCA) expression and function in sedentary and exercise-trained mice.
Bibliographic record
Abstract
This thesis determined whether changes in adenosine monophosphate-activated protein kinase (AMPK) activity would influence sarcoplasmic reticulum Ca2+-ATPase (SERCA) content and function in left ventricle (LV) and skeletal muscle isolated from sedentary or exercise trained mice. The data indicate that AMPKα2 kinase dead transgenic (KD) mice, as compared to wild-type (WT) mice, were characterized by reduced SERCA1a, SERCA2a and higher phospholamban (PLN) protein levels in both cardiac and skeletal muscle. Notably, exercise-training up-regulated myocardial SERCA2a protein content by 43%, as compared to sedentary WT mice. In contrast, exercise-training did not alter myocardial SERCA2a protein content in KD mice. Even so, exercise-training up-regulated SERCA1a protein content in skeletal muscle in both WT and KD mice. Based on these data, it appears that an AMPKα2-mediated mechanism influences SERCA2a content and function in the heart and skeletal muscle, which may contribute to the pathophysiology of models characterized by impaired AMPK activity and impaired calcium-cycling.
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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".