AG490 Improves the Survival of Human Myoblasts in Vitro and in Vivo
Bibliographic record
Abstract
Cell therapies consist in transplanting healthy cells into a disabled tissue with the goal to repopulate it and restore its function at least partially. In muscular diseases, most of the time, myoblasts are chosen for their expansion capacity in culture. Nevertheless, cell transplantation has limitations, among them, death of the transplanted cells, during the days following the graft. One possibility to counteract this problem is to enhance the proliferation of the transplanted myoblasts before their fusion with the existing muscle fibers. AG490 is a specific inhibitor of janus tyrosine kinase 2 (JAK2). The hypothesis is to block myoblast differentiation with AG490, thus permitting their proliferation. The inhibition of myoblast fusion by AG490 was confirmed in this study by gene expression and with a myosin heavy chain staining (MyHC). Moreover, cell survival was estimated by flow cytometry. AG490 was found to protect myoblasts in vitro from apoptosis induced by H(2)O(2) or by preventing attachment of cells to their substrate. Finally, in an in vivo model of muscle regeneration, when AG490 was coinjected with the myoblasts their survival was increased by 45% at 5 days after their transplantation.
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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 | 0.000 |
| 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".