Enhanced Delivery of Ligand-Conjugated Antisense Oligonucleotides (C16-HA-ASO) Targeting Dystrophia Myotonica Protein Kinase Transcripts for the Treatment of Myotonic Dystrophy Type 1
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Bibliographic record
Abstract
Myotonic dystrophy type 1 (DM1) is a neuromuscular disorder that affects many organs. It is caused by the expansion of a cytosine–thymine–guanine triplet repeat in the 3′ untranslated region of the human dystrophia myotonica protein kinase (h DMPK ) gene, which results in a toxic gain of function of mutant h DMPK RNA transcripts. Antisense oligonucleotides (ASOs) have emerged in recent years as a potential gene therapy to treat DM1. However, the clinical efficacy of the systemic administration of ASOs is limited by a combination of insufficient potency and poor tissue distribution. In the present study, we assessed the potential of a new ligand-conjugated ASO (IONIS-877864; C16-HA-ASO) to target mutant h DMPK mRNA transcripts in the DMSXL mouse model of DM1 carrying over 1000 CTG pathogenic repeats. DMSXL mice were treated subcutaneously for 9 weeks with either IONIS-877864 (12.5 or 25 mg/kg) or IONIS-486178 (12.5 or 25 mg/kg), an unconjugated ASO with the same sequence. At 25 mg/kg, IONIS-877864 significantly enhanced ASO delivery into the striated muscles of DMSXL mice following systemic administration compared with the unconjugated control. IONIS-877864 was also more efficacious than IONIS-486178, reducing mutant h DMPK transcripts by up to 92% in the skeletal muscles and 78% in the hearts of DMSXL mice. The decrease in mutant h DMPK transcripts in skeletal muscles caused by IONIS-877864 was associated with a significant improvement in muscle strength. IONIS-877864 was nontoxic in the DMSXL mouse model. The present study showed that the C16-HA-conjugated ASO is a powerful tool for the development of gene therapy for DM1.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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