HuR counteracts miR-330 to promote STAT3 translation during inflammation-induced muscle wasting
Bibliographic record
Abstract
Significance Proinflammatory diseases, such as cancer, AIDS, and chronic obstructive pulmonary diseases, are often associated with a progressive loss of skeletal muscle tissue, a syndrome also known as cachexia. Cytokines trigger muscle loss by activating downstream effector pathways, including the ones driven by STAT3 protein. Although high levels of STAT3 protein are required for the onset of muscle wasting, the mechanisms modulating STAT3 expression in cachectic muscles remain elusive. Here we identify the RNA-binding protein HuR and its ability to interfere with miR-330 action as a key promoter of STAT3 mRNA translation. Our work identifies the competition between HuR and miR-330 as a mechanism that could be targeted to design novel anticachexia therapies.
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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".