Metabolic shifts and myocyte hypertrophy in deflazacort treatment ofmdx mouse cardiomyopathy
Bibliographic record
Abstract
We tested the hypothesis that treatment of mdx mouse muscular dystrophy with the glucocorticoid deflazacort prevents cardiomyopathic lesions and is accompanied by changes in metabolism and gene expression that reflect the improved tissue integrity. Cardiac muscle pathology, expression of alpha-cardiac myosin heavy chain, DNA synthesis, laminin, and basic fibroblast growth factor (bFGF) were examined to characterize dystrophy and changes with treatment. The potential of proton magnetic resonance spectroscopy (H-NMRS) to track cardiac dystrophy and deflazacort effects was also studied. Deflazacort (but not equipotent prednisone) reproducibly decreased lesion prevalence and severity. Treatment also produced cardiomyocyte hypertrophy and a 5.4-fold increase in alpha-cardiac myosin content. Expression of bFGF messenger RNA (mRNA), notable around lesions, rose 3.3-fold, and laminin expression rose 2.1-fold after deflazacort. Studies using H-NMRS showed a cardiac "signature" with less glycine and taurine than limb muscle or diaphragm and shifts with progression of dystrophy (distinct from normal aging) in many metabolites. Increased taurine, acetate, and succinate were present after 2 weeks of deflazacort treatment but were not present after 4 weeks. Although paired kinetic and functional studies of myocardium will be needed to determine the origin of such changes, these results demonstrate the potential application of H-NMRS to monitor clinical heart disease and treatment. In addition, the metabolic effects of deflazacort were substantial in preventing the progression of cardiomyopathy in mdx mice and included increased expression of protectant and stabilizing factors and hypertrophy of cardiac myocytes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".