Dystrophin and mini-dystrophin quantification by mass spectrometry in skeletal muscle for gene therapy development in Duchenne muscular dystrophy.
Vahid FarrokhiJason Leo WalshJoe PalandraJoanne BrodfuehrerTeresa M CaiazzoJane OwensMichael BinksSrividya NeelakantanFlorence YongPinky DuaCaroline Le GuinerHendrik NeubertPublished in: Gene therapy (2021)
Duchenne muscular dystrophy (DMD) is a lethal, degenerative muscle disorder caused by mutations in the DMD gene, leading to severe reduction or absence of the protein dystrophin. Gene therapy strategies that aim to increase expression of a functional dystrophin protein (mini-dystrophin) are under investigation. The ability to accurately quantify dystrophin/mini-dystrophin is essential in assessing the level of gene transduction. We demonstrated the validation and application of a novel peptide immunoaffinity liquid chromatography-tandem mass spectrometry (IA-LC-MS/MS) assay. Data showed that dystrophin expression in Becker muscular dystrophy and DMD tissues, normalized against the mean of non-dystrophic control tissues (n = 20), was 4-84.5% (mean 32%, n = 20) and 0.4-24.1% (mean 5%, n = 20), respectively. In a DMD rat model, biceps femoris tissue from dystrophin-deficient rats treated with AAV9.hCK.Hopti-Dys3978.spA, an adeno-associated virus vector containing a mini-dystrophin transgene, showed a dose-dependent increase in mini-dystrophin expression at 6 months post-dose, exceeding wildtype dystrophin levels at high doses. Validation data showed that inter- and intra-assay precision were ≤20% (≤25% at the lower limit of quantification [LLOQ]) and inter- and intra-run relative error was within ±20% (±25% at LLOQ). IA-LC-MS/MS accurately quantifies dystrophin/mini-dystrophin in human and preclinical species with sufficient sensitivity for immediate application in preclinical/clinical trials.
Keyphrases
- duchenne muscular dystrophy
- muscular dystrophy
- gene therapy
- poor prognosis
- clinical trial
- liquid chromatography tandem mass spectrometry
- endothelial cells
- high throughput
- gene expression
- dna methylation
- machine learning
- genome wide
- long non coding rna
- ms ms
- type diabetes
- small molecule
- copy number
- metabolic syndrome
- binding protein
- single cell
- big data
- simultaneous determination
- genetic diversity