Identification of drug modifiers for RYR1 related myopathy using a multi-species discovery pipeline
Bibliographic record
Abstract
Abstract Ryanodine receptor type I-related myopathies (RYR1-RMs) represent the largest group of non-dystrophic myopathies. RYR1-RMs are associated with severe disabilities and early mortality; despite these facts, there are currently no available treatments. The goal of this study was to identify new therapeutic targets for RYR1-RMs. To accomplish this, we developed a novel discovery pipeline using nematode, zebrafish, and mammalian cell models of the disease. We first performed large-scale drug screens in C. elegans and zebrafish. 74 positive hits were identified in C. elegans , while none were uncovered in the zebrafish. Targeted testing of these hits in zebrafish yielded positive results for two compounds. We examined these compounds using newly created Ryr1 knockout C2C12 cells, and found that p38 inhibition impaired caffeine-induced Ca 2+ release. Lastly, we tested one p38 inhibitor in myotubes from Ryr1 Y524S/+ (YS) mice, and demonstrated that it blunts the aberrant temperature-dependent increase in resting Ca 2+ in these cells. In all, we developed a unique platform for RYR1-RM therapy development that is potentially applicable to a broad range of neuromuscular disorders.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".