Utrophin A is essential in mediating the functional adaptations of mdx mouse muscle following chronic AMPK activation
Bibliographic record
Abstract
Duchenne muscular dystrophy (DMD) is caused by the absence of dystrophin along muscle fibers. An attractive therapeutic avenue for DMD consists in the upregulation of utrophin A, a protein with high sequence identity and functional redundancy with dystrophin. Recent work has shown that pharmacological interventions that induce a muscle fiber shift toward a slower, more oxidative phenotype with increased expression of utrophin A confer morphological and functional improvements in mdx mice. Whether such improvements result from the increased expression of utrophin A per se or are linked to other beneficial adaptations associated with the slow, oxidative phenotype remain to be established. To address this central issue, we capitalized on the use of double knockout (dKO) mice, which are mdx mice also deficient in utrophin. We first compared expression of signaling molecules and markers of the slow, oxidative phenotype in muscles of mdx versus dKO mice and found that both strains exhibit similar phenotypes. Chronic activation of 5' adenosine monophosphate-activated protein kinase with 5-amino-4-imidazolecarboxamide riboside (AICAR) resulted in expression of a slower, more oxidative phenotype in both mdx and dKO mice. In mdx mice, this fiber type shift was accompanied by clear functional improvements that included reductions in central nucleation, IgM sarcoplasmic penetration and sarcolemmal damage resulting from eccentric contractions, as well as in increased grip strength. These important morphological and functional adaptations were not seen in AICAR-treated dKO mice. Our findings show the central role of utrophin A in mediating the functional benefits associated with expression of a slower, more oxidative phenotype in dystrophic animals.
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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 | 0.001 | 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".