Biology subjects

Dakka, A.

Publications and source records attributed to Dakka, A..

3 recordsLinked to original sources

bioRxiv2025

rAAV-Delivered Bicistronic Artificial microRNAs for Allele-Specific Silencing Improve Motor and Molecular Outcomes in Spinocerebellar Ataxia Type 3

Spinocerebellar ataxia type 3 (SCA3), also known as Machado-Joseph disease, is an autosomal dominant neurodegenerative disorder caused by the expansion of CAG trinucleotide repeats in the ATXN3 gene. This mutation induces a toxic gain-of-function of the ATXN3 protein, leading to neurodegeneration, particularly in the cerebellum and brainstem. Despite extensive research, no disease-modifying treatments are available for SCA3 patients. In this study, we developed and tested a novel therapeutic strategy using recombinant adeno-associated virus (rAAV) to deliver bicistronic artificial microRNAs designed to selectively silence the mutant ATXN3 allele. Through in vitro screening, we identified a lead construct (miATXN3-10x2) that effectively and specifically silenced the mutant allele by targeting of a single nucleotide polymorphism (SNP) associated with the repeat expansion. This construct was packaged into rAAV9 and delivered via intra-cerebellar administration into two mouse models of SCA3, resulting in robust suppression of mutant ATXN3 in the cerebellum. To assess long-term efficacy, we performed intra-cisterna magna (ICM) injections of rAAV9-miATXN3-10x2 in a severe SCA3 transgenic mouse model. Widespread distribution of viral vectors and miATXN3 copies was observed in disease-relevant brain regions. Treated animals exhibited significant and sustained improvements in motor function at 5, 8, and 11 weeks post-injection. Histological analyses showed a reduction in mutant ATXN3 aggregates and a trend toward preventing shrinkage of cerebellar molecular layer. These findings were supported by dose-dependent reductions in mutant ATXN3 mRNA levels and decreased expression of neuroinflammatory markers in the cerebellum. Additionally, a significant increase of the neuronal marker NeuN was also observed in treated animals. Finally, transcriptomic profiling of the cerebellum demonstrated that treated transgenic animals exhibited an improved transcriptomic signature, shifting toward a wild-type profile. In conclusion, our findings highlight the therapeutic potential of a single administration of rAAVs encoding bicistronic artificial microRNAs for allele-specific gene silencing in SCA3. This study provides compelling preclinical evidence supporting the translation of this approach into clinical applications for SCA3 patients.

molecular biology↗

bioRxiv2022

Development of a novel oral treatment that rescues gait ataxia and retinal degeneration in a phenotypic mouse model of familial dysautonomia.

Familial Dysautonomia (FD) is a rare neurodegenerative disease caused by a splicing mutation in the Elongator complex protein 1 gene (ELP1). This mutation leads to the skipping of exon 20 and a tissue-specific reduction of ELP1 protein, mainly in the central and peripheral nervous systems. FD is a complex neurological disorder accompanied by severe gait ataxia and retinal degeneration. There is currently no effective treatment to restore ELP1 protein expression in individuals with FD, and the disease is ultimately fatal. After identifying kinetin as a small molecule able to correct the ELP1 splicing defect, we worked on its optimization to generate novel splicing modulator compounds (SMCs) that can be used in patients. Here, we optimize the potency, efficacy, and bio-distribution of second-generation kinetin derivatives to develop an oral treatment for FD that can efficiently pass the blood-brain barrier and correct the ELP1 splicing defect in the nervous system. We demonstrate that the novel compound, PTC258, efficiently restores correct ELP1 splicing in mouse tissues, including brain, and most importantly, prevents the progressive neuronal degeneration that is characteristic of FD. Postnatal oral administration of PTC258 to the phenotypic mouse model TgFD9;Elp1{Delta}20/flox increases full-length ELP1 transcript in a dose-dependent manner and leads to a two-fold increase in functional ELP1 protein in the brain. Remarkably, PTC258 treatment improves survival, gait ataxia, and retinal degeneration in the phenotypic FD mice. Our findings highlight the great therapeutic potential of this novel class of small molecules as an oral treatment for FD.

genetics↗

bioRxiv2020

A deep learning approach to identify new gene targets of a novel therapeutic for human splicing disorders

Pre-mRNA splicing is a key control point in human gene expression. Disturbances in splicing due to mutation or aberrant splicing regulatory networks lead to dysregulated protein expression and contribute to a substantial fraction of human disease. Several classes of active and selective splicing modulator compounds have been recently identified, thus proving that pre-mRNA splicing is a viable target for therapy. We describe herein the identification of BPN-15477, a novel splicing modulator compound, that restores correct splicing of exon 20 in the Elongator complex protein 1 (ELP1) gene carrying the major IVS20+6T>C mutation responsible for familial dysautonomia. We then developed a machine learning approach to evaluate the therapeutic potential of BPN-15477 to correct splicing in other human genetic diseases. Using transcriptome sequencing from compound-treated fibroblast cells, we identified treatment responsive sequence signatures, the majority of which center at the 5 splice site of exons whose inclusion or exclusion is modulated by SMC treatment. We then leveraged this model to identify 155 human disease genes that harbor ClinVar mutations predicted to alter pre-mRNA splicing as potential targets for BPN-15477 treatment. Using in vitro splicing assays, we validated representative predictions by demonstrating successful correction of splicing defects caused by mutations in genes responsible for cystic fibrosis (CFTR), cholesterol ester storage disease (LIPA), Lynch syndrome (MLH1) and familial frontotemporal dementia (MAPT). Our study shows that deep learning techniques can identify a complex set of sequence signatures and predict response to pharmacological modulation, strongly supporting the use of in silico approaches to expand the therapeutic potential of drugs that modulate splicing.

bioinformatics↗