Inactivation of the ubiquitin-specific protease 19 deubiquitinating enzyme protects against muscle wasting
Bibliographic record
Abstract
The ubiquitin system plays a critical role in muscle wasting. Previous work has focused on the roles of ubiquitination. However, a role for deubiquitination in this process has not been established. Because ubiquitin-specific protease (USP) 19 deubiquitinating enzyme is induced in skeletal muscle in many catabolic conditions, we generated USP19 knockout (KO) mice. These mice lost less muscle mass than wild-type (WT) animals in response to glucocorticoids, a common systemic cause of muscle atrophy as well as in response to denervation, a model of disuse atrophy. KO mice retained more strength and had less myofiber atrophy with both type I and type IIb fibers being protected. Rates of muscle protein synthesis were similar in WT and KO mice, suggesting that the sparing of atrophy was attributed to suppressed protein degradation. Consistent with this, expression of the ubiquitin ligases MuRF1 and MAFbx/atrogin-1 as well as several autophagy genes was decreased in the muscles of catabolic KO mice. Expression of USP19 correlates with that of MuRF1 and MAFbx/atrogin-1 in skeletal muscles from patients with lung cancer or gastrointestinal cancer, suggesting that USP19 is involved in human muscle wasting. Inhibition of USP19 may be a useful approach to the treatment of many muscle-wasting conditions.—Bédard, N., Jammoul, S., Moore, T., Wykes, L., Hallauer, P. L., Hastings, K. E. M., Stretch, C., Baracos, V., Chevalier, S., Plourde, M., Coyne, E., Wing, S. S. Inactivation of the ubiquitin-specific protease 19 deubiquitinating enzyme protects against muscle wasting. FASEB J. 29, 3889-3898 (2015). www.fasebj.org
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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 | 0.001 | 0.001 |
| 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".