Glucocorticoid treatment alleviates dystrophic myofiber pathology by activation of the calcineurin/NF‐AT pathway
Bibliographic record
Abstract
Duchenne muscular dystrophy (DMD) is a progressive and ultimately fatal skeletal muscle disease. Currently, the most effective therapy is the administration of a subclass of glucocorticoids, most notably deflazacort. Although deflazacort treatment can attenuate DMD progression, extend ambulation, and maintain muscle strength, the mechanism of its action remains unknown. Prior observations have shown that activation of a JNK1-mediated signal transduction cascade contributes to the progression of the DMD phenotype, in part by phosphorylation and inhibition of a calcineurin sensitive NF-ATc1 transcription factor. Here, we observed that deflazacort treatment restored myocyte viability in muscle cells with constitutive activation of JNK1 and in dystrophic mdx mice. However, deflazacort treatment did not alter JNK1 activity itself, but rather led to an increase in the activity of the calcineurin phosphatase and an up-regulation of NF-ATc1-dependent gene expression. The prophylactic effect of deflazacort treatment was associated with increased expression of NF-ATc1 target genes such as the dystrophin homologue utrophin. Moreover, the muscle sparing effects of deflazacort were completely abolished when used in conjunction with the calcineurin inhibitor cyclosporine. Collectively, these results show that deflazacort attenuates loss of dystrophic myofiber integrity by up-regulating the activity of the phosphatase calcineurin, which in turn negates JNK1 inhibition of NF-ATc1-mediated phosphorylation and nuclear exclusion of NF-ATc1.
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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".