Slow train coming: an anti-CCN2 strategy reverses a model of chronic overuse muscle fibrosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
One of the first targets proposed as an anti-fibrotic therapy was CCN2. Proof of its involvement in fibrosis was initially difficult, due to the lack of appropriate reagents and general understanding of the molecular mechanisms responsible for persistent fibrosis. As these issues have been progressively resolved over the last twenty-five years, it has become clear that CCN2 is a bone fide target for anti-fibrotic intervention. An anti-CCN2 antibody (FG-3019) is in Phase III clinical trials for idiopathic pulmonary fibrosis and pancreatic cancer, and in Phase II for Duschenne's muscular dystrophy. An exciting paper recently published by Mary Barbe and the Popoff group has shown that FG-3019 reduces established muscle fibrosis (Barbe et al., FASEB J 34:6554-6569, 2020). Intriguingly, FG-3019 blocked the decreased expression of the anti-fibrotic protein CCN3, caused by the injury model. These important data support the notion that targeting CCN2 in the fibrotic microenvironment may reverse established fibrosis, making it the first agent currently in development to do so.
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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 it