Split intein-mediated protein trans-splicing to express large dystrophins.
Hichem TasfaoutChristine L HalbertTimothy S McMillenJames M AllenTheodore R ReyesGalina V FlintDirk GrimmStephen D HauschkaMichael RegnierJeffrey S ChamberlainPublished in: Nature (2024)
Gene replacement using adeno-associated virus (AAV) vectors is a promising therapeutic approach for many diseases 1,2 . However, this therapeutic modality is challenged by the packaging capacity of AAVs (approximately 4.7 kilobases) 3 , limiting its application for disorders involving large coding sequences, such as Duchenne muscular dystrophy, with a 14 kilobase messenger RNA. Here we developed a new method for expressing large dystrophins by utilizing the protein trans-splicing mechanism mediated by split inteins. We identified several split intein pairs that efficiently join two or three fragments to generate a large midi-dystrophin or the full-length protein. We show that delivery of two or three AAVs into dystrophic mice results in robust expression of large dystrophins and significant physiological improvements compared with micro-dystrophins. Moreover, using the potent myotropic AAVMYO 4 , we demonstrate that low total doses (2 × 10 13 viral genomes per kg) are sufficient to express large dystrophins in striated muscles body-wide with significant physiological corrections in dystrophic mice. Our data show a clear functional superiority of large dystrophins over micro-dystrophins that are being tested in clinical trials. This method could benefit many patients with Duchenne or Becker muscular dystrophy, regardless of genotype, and could be adapted to numerous other disorders caused by mutations in large genes that exceed the AAV capacity.
Keyphrases
- muscular dystrophy
- duchenne muscular dystrophy
- clinical trial
- gene therapy
- binding protein
- protein protein
- amino acid
- sars cov
- electronic health record
- adipose tissue
- small molecule
- machine learning
- copy number
- type diabetes
- genome wide identification
- transcription factor
- artificial intelligence
- study protocol
- nucleic acid