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Rigamonti, M.

Publications and source records attributed to Rigamonti, M..

2 recordsLinked to original sources

Pre-clinical evaluation of a gene therapy candidate for SOD1-ALS shows improved survival and signs of inflammation in the CNS of treated mice.

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder characterized by motor neurons loss (MN). In 15-20% of familial ALS cases, mutations in the superoxide dismutase 1 (SOD1) gene are the underlying cause. Targeting human SOD1 (hSOD1) toxicity has emerged as a promising approach to treat SOD1-ALS. We previously demonstrated the efficacy of an exon-skipping strategy using a self-complementary AAVrh10-U7-hSOD1 vector in SOD1G93A mice achieving significant hSOD1 silencing. In this study, we optimized the therapeutic protocol by conducting a dose-finding and biodistribution study of scAAVrh10-U7-hSOD1 following a single intracerebroventricular injection in adult SOD1G93A mice. Our findings demonstrate a dose-dependent reduction in mutant hSOD1 levels in the cortex, spinal cord, and peripheral tissues, sustained for up to 60 days post-injection. In vivo, some adverse effects were noted mostly at the highest dose, with inflammation early post-injection and persistent microglial activation in the brain observed around the injection site. Importantly, the medium-dose treatment extended mean survival by up to 27% with a much milder early toxicity, which will provide a great possibility for future applications. Additionally, no major off-target effects were observed in human cell models, highlighting the targeting specificity of this approach and the potential safety for translation. These findings confirm and extend the therapeutic potential of scAAVrh10-U7-hSOD1 gene therapy while emphasizing the need for further technological development to minimize adverse effects and maximize potential clinical benefit.

pharmacology and toxicology↗

A non-invasive digital biomarker for the detection of rest disturbances in the SOD1G93A mouse model of ALS

Amyotrophic Lateral Sclerosis (ALS) is a devastating neurodegenerative disease that affects both central and peripheral nervous system, leading to the degeneration of motor neurons, which eventually results in muscle atrophy, paralysis and death. Sleep disturbances are common in patients with ALS, leading to even further deteriorated quality of life. Investigating methods to potentially assess sleep and rest disturbances in animal models of ALS is thus of crucial interest. We used an automated home cage monitoring system (DVC(R)) to capture activity patterns that can potentially be associated with sleep and rest disturbances and thus to the progression of ALS in the SOD1G93A mouse model. DVC(R) enables non-intrusive 24/7 long term animal activity monitoring, which we assessed together with body weight decline and neuromuscular function deterioration measured by grid hanging and grip strength tests in male and female mice from 7 until 24 weeks of age. We show that as the ALS progresses over time in SOD1G93A mice, activity patterns during day time start becoming irregular, with frequent activity bouts that are neither observed in control mice nor in SOD1G93A at a younger age. The increasing irregularities of activity patterns during day time are quantitatively captured by designing a novel digital biomarker, referred to as Rest Disturbance Index (RDI). We show that RDI is a robust measure capable of detecting rest/sleep-related disturbances during the disease progression earlier than conventional methods, such as the grid hanging test. Moreover RDI highly correlates with grid hanging and body weight decline, especially in males. The non-intrusive long-term continuous monitoring of animal activity enabled by DVC(R) has been instrumental in discovering activity patterns potentially correlated with sleep and rest disturbances in the SOD1G93A mouse model of the ALS disease.

neuroscience↗