Nature CommunicationsGeneticsPeer-reviewed journal article
Striated muscle-specific base editing enables correction of mutations causing dilated cardiomyopathy
Markus GroschiD, Laura SchraftiD, Adrian Chan, Leonie KüchenhoffiD, Kleopatra RaptiiD, Anne-Maud FerreiraiD, Julia KornienkoiD, Shengdi LiiD, Michael H. RadkeiD, Chiara Krämer, Sandra Clauder‐MünsteriD, Emerald Perlas, Johannes BacksiD, Michael GotthardtiD, Christoph DieterichiD, Maarten M.G. van den HoogenhofiD, Dirk GrimmiD, Lars Michael SteinmetziD
Abstract
Dilated cardiomyopathy (DCM) is the second most common cause for heart failure with no cure except a high-risk heart transplantation. Approximately 30% of DCM patients harbor heritable mutations which are amenable to CRISPR-based gene therapy1. However, challenges related to delivery of the editing complex and off-target concerns hamper the broad applicability of CRISPR agents in the heart2. We employed a combination of the viral gene transfer vector AAVMYO with superior targeting specificity of heart muscle tissue3 and CRISPR base editors to repair patient mutations in the cardiac splice factor Rbm20, which cause aggressive and arrhythmogenic DCM4. Using optimized conditions, we could improve splice defects in human iPSC-derived cardiomyocytes (iPSC-CMs) and repair >70% of cardiomyocytes in two Rbm20 knock-in mouse models that we generated to serve as an in vivo platform of our editing strategy. Treatment of juvenile mice restored the localization defect of RBM20 in 75% of cells and splicing of RBM20 targets including TTN. Three months after injection, cardiac dilation and ejection fraction reached wildtype levels. Single-nuclei RNA sequencing (snRNA-seq) uncovered restoration of the transcriptional profile across all major cardiac cell types and whole-genome sequencing (WGS) revealed no evidence for aberrant off-target editing. Our study highlights the potential of base editors combined with AAVMYO to achieve gene repair for treatment of hereditary cardiac diseases.
- organism: mouse
- assay: scRNA-seq
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: variant calling
- approach: experimental assay
- Citations
- 60
- FWCI
- 5.33
- Field percentile
- top 2%
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