Development of therapeutic genome engineering in laminin-α2-deficient congenital muscular dystrophy
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
Muscular dystrophies are a heterogeneous group of genetic muscle diseases that are often characterized by pathological findings of muscle fiber degeneration and the replacement of muscle fibers with fibrotic/connective tissues. In spite of the genetic causes of many of these conditions having been identified, curative treatments are still lacking. Recently, genome engineering technologies, including targeted gene editing and gene regulation, have emerged as attractive therapeutic tools for a variety of muscular dystrophies. This review summarizes the genome engineering strategies that are currently under preclinical evaluation for the treatment of LAMA2-deficient congenital muscular dystrophy. In particular, we focus on the applications of CRISPR/Cas9 to correct a splice site mutation in LAMA2 and to up-regulate a disease-modifying gene LAMA1. Finally, the challenges faced in the clinical translation of these strategies are discussed.
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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