Antisense oligonucleotide splicing modulation as a novel Cystic Fibrosis therapeutic approach for the W1282X nonsense mutation
Bibliographic record
Abstract
BACKGROUND: Antisense oligonucleotide- based drugs for splicing modulation were recently approved for various genetic diseases with unmet need. Here we aimed to generate skipping over exon 23 of the CFTR transcript, to eliminate the W1282X nonsense mutation and avoid RNA degradation induced by the nonsense mediated mRNA decay mechanism, allowing production of partially active CFTR proteins lacking exon 23. METHODS: ∼80 ASOs were screened in 16HBEge W1282X cells. ASO candidates showing significant exon skipping were assessed for their W1282X allele selectivity and the increase of CFTR protein maturation and function. The effect of a highly potent ASO candidates was further analyzed in well differentiated primary human nasal epithelial cells, derived from a W1282X homozygous patient. RESULTS: ASO screening led to identification of several ASOs that significantly decrease the level of CFTR transcripts including exon 23. These ASOs resulted in significant levels of mature CFTR protein and together with modulators restore the channel function following free uptake into these cells. Importantly, a highly potent lead ASOs, efficiently delivered by free uptake, was able to increase the level of transcripts lacking exon 23 and restore the CFTR function in cells from a W1282X homozygote patient. CONCLUSION: The highly efficient exon 23 skipping induced by free uptake of the lead ASO and the resulting levels of mature CFTR protein exhibiting channel function in the presence of modulators, demonstrate the ASO therapeutic potential benefit for CF patients carrying the W1282X mutation with the objective to advance the lead candidate SPL23-2 to proof-of-concept clinical study.
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How this classification was reachedexpand
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".