AAV-based delivery of RNAi targeting Ataxin-2 improves survival, strength, and pathology in mouse models of rapidly and slowly progressive sporadic ALS.
bioRxiv
; 2024 Feb 02.
Article
em En
| MEDLINE
| ID: mdl-38352376
ABSTRACT
Amyotrophic lateral sclerosis (ALS) is characterized by motor neuron death due to nuclear loss and cytoplasmic aggregation of the splice factor TDP-43. Pathologic TDP-43 associates with stress granules (SGs) and downregulating the SG-associated protein Ataxin-2 (Atxn2) using antisense oligonucleotides (ASO) prolongs survival in the TAR4/4 sporadic ALS mouse model, a strategy now in clinical trials. Here, we used AAV-mediated RNAi delivery to achieve lasting and targeted Atxn2 knockdown after a single injection. To achieve this, a novel AAV with improved transduction potency of our target cells was used to deliver Atxn2 -targeting miRNAs. Mouse dosing studies demonstrated 55% Atxn2 knockdown in frontal cortex and 25% knockdown throughout brainstem and spinal cord after intracerebroventricular injection at a dose 40x lower than used in other recent studies. In TAR4/4 mice, miAtxn2 treatment increased mean and median survival by 54% and 45% respectively (p<0.0003). Mice showed robust improvement across strength-related measures ranging from 24-75%. Interestingly, treated mice showed increased vertical activity above wildtype, suggesting unmasking of an FTD phenotype with improved strength. Histologically, lower motor neuron survival improved with a concomitant reduction in CNS inflammatory markers. Additionally, phosphorylated TDP-43 was reduced to wildtype levels. Bulk RNA sequencing revealed correction of 153 genes in the markedly dysregulated transcriptome of mutant mice, several of which are described in the human ALS literature. In slow progressing hemizygous mice, treatment rescued weight loss and improved gait at late time points. Cumulatively the data support the utility of AAV-mediated RNAi against Atxn2 as a robust and translatable treatment strategy for sporadic ALS.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
BioRxiv
Ano de publicação:
2024
Tipo de documento:
Article