Pharmacological activation of PPAR / stimulates utrophin A expression in skeletal muscle fibers and restores sarcolemmal integrity in mature mdx mice
Bibliographic record
Abstract
A therapeutic strategy to treat Duchenne muscular dystrophy (DMD) involves identifying compounds that can elevate utrophin A expression in muscle fibers of affected patients. The dystrophin homologue utrophin A can functionally substitute for dystrophin when its levels are enhanced in the mdx mouse model of DMD. Utrophin A expression in skeletal muscle is regulated by mechanisms that promote the slow myofiber program. Since activation of peroxisome proliferator-activated receptor (PPAR) beta/delta promotes the slow oxidative phenotype in skeletal muscle, we initiated studies to determine whether pharmacological activation of PPARbeta/delta provides functional benefits to the mdx mouse. GW501516, a PPARbeta/delta agonist, was found to stimulate utrophin A mRNA levels in C2C12 muscle cells through an element in the utrophin A promoter. Expression of PPARbeta/delta was greater in skeletal muscles of mdx versus wild-type mice. We treated 5-7-week-old mdx mice with GW501516 for 4 weeks. This treatment increased the percentage of muscle fibers expressing slower myosin heavy chain isoforms and stimulated utrophin A mRNA levels leading to its increased expression at the sarcolemma. Expression of alpha1-syntrophin and beta-dystroglycan was restored to the sarcolemma. Improvement of mdx sarcolemmal integrity was evidenced by decreased intracellular IgM staining and decreased in vivo Evans blue dye (EBD) uptake. GW501516 treatment also conferred protection against eccentric contraction (ECC)-induced damage of mdx skeletal muscles, as shown by a decreased contraction-induced force drop and reduction of dye uptake during ECC. These results demonstrate that pharmacological activation of PPARbeta/delta might provide functional benefits to DMD patients through enhancement of utrophin A expression.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".