Pharmacological inhibition of HDAC6 downregulates TGF-β via Smad2/3 acetylation and improves dystrophin-deficient muscles
Bibliographic record
Abstract
Abstract / Summary The absence of dystrophin in Duchenne muscular dystrophy (DMD) disrupts the dystrophin dystroglycan glycoprotein complex (DGC) resulting in fibers fragility and atrophy, associated with fibrosis and microtubules and neuromuscular junction (NMJ) disorganization. The specific non-conventional cytoplasmic histone deacetylase 6 (HDAC6) was previously shown to regulate acetylcholine receptor distribution and muscle atrophy. Here we show that administration of the HDAC6 specific inhibitor tubastatin A to the DMD mouse model mdx improves muscle strength, restores microtubules, NMJ and DGC organization, and reduces muscle atrophy and fibrosis. These effects involve the known action of HDAC6 on microtubules acetylation and muscle atrophy but also involve a yet undiscovered action of HDAC6 on transforming growth factor beta (TGF-β) signaling. Conversely, to inhibitors of nuclear HDACs that regulate TGF-β signaling via the activation of Follistatin expression, HDAC6 inhibition acts downstream of TGF-β ligands and receptors by increasing Smad2/3 acetylation in the cytoplasm which in turn inhibits its phosphorylation and transcriptional activity.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".