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Updated: Jul 23, 2025

Evaluation of Exon Inclusion Induced by Splice Switching Antisense Oligonucleotides in SMA Patient Fibroblasts
Published on: May 11, 2018
A framework for individualized splice-switching oligonucleotide therapy.
Jinkuk Kim1,2,3,4, Sijae Woo5, Claudio M de Gusmao6,7
1Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. jinkuk@kaist.ac.kr.
Whole-genome sequencing identified individuals with genetic diseases, like ataxia-telangiectasia, amenable to splice-switching antisense oligonucleotides (ASOs). These ASOs successfully corrected splicing defects in patient cells and showed safety in a clinical trial.
Area of Science:
- Genetics
- Molecular Biology
- Therapeutics
Background:
- Genetic diseases pose challenges for targeted therapies.
- Identifying individuals suitable for splice-switching antisense oligonucleotide (ASO) therapy requires advanced genetic analysis.
- Ataxia-telangiectasia is a severe, life-threatening recessive genetic disorder.
Purpose of the Study:
- To systematically identify individuals with genetic diseases, specifically ataxia-telangiectasia, who are candidates for splice-switching ASO therapy.
- To develop and validate a predictive model for ASO amenability.
- To demonstrate the efficacy and safety of ASOs in preclinical and clinical settings.
Main Methods:
- Whole-genome sequencing of 235 individuals with ataxia-telangiectasia.
- Development of a predictive taxonomy for ASO splice modulation amenability.
- Design and testing of splice-switching ASOs in patient-derived fibroblasts.
- Pilot clinical study of an ASO in a pediatric patient.
Main Results:
- Achieved a near-complete molecular diagnosis for all participants.
- Identified 9% and 6% of individuals with variants 'probably' or 'possibly' amenable to ASO therapy, respectively.
- Developed ASOs that corrected splicing defects and restored ATM signaling in patient cells.
- Demonstrated good tolerability and safety of an ASO in a three-year pilot clinical study.
Conclusions:
- Whole-genome sequencing combined with predictive modeling can identify patients for ASO therapy.
- Deep intronic variants, often missed by other methods, can be targeted by ASOs.
- This study provides a framework for prospective identification of patients benefiting from ASO-based treatments for genetic disorders.
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