Selective transduction of cerebellar Purkinje and granule neurons using delivery of AAV-PHP.eB and AAVrh10 vectors at axonal terminal locations

Adeno-associated virus (AAV)-based brain gene therapies require precision without off-targeting of unaffected neurons to avoid side effects. The cerebellum and its cell populations, including granule and Purkinje cells, are vulnerable to neurodegeneration; hence, conditions to deliver the therapy to specific cell populations selectively remain challenging. We have investigated a system consisting of the AAV serotypes, targeted injections, and transduction modes (direct or retrograde) for targeted delivery of AAV to cerebellar cell populations. We selected the AAV-PHP.eB and AAVrh10 serotypes valued for their retrograde features, and we thoroughly examined their cerebellar transduction pattern when injected into lobules and deep cerebellar nuclei. We found that AAVrh10 is suitable for the transduction of neurons in the mode highly dependent on placing the virus at axonal terminals. The strategy secures selective transduction for granule cells. The AAV-PHP.eB can transduce Purkinje cells and is very selective for the cell type when injected into the DCN at axonal PC terminals. Therefore, both serotypes can be used in a retrograde mode for selective transduction of major neuronal types in the cerebellum. Moreover, our in vivo transduction strategies are suitable for pre-clinical protocol development for gene delivery to granule cells by AAVrh10 and Purkinje cells by AAV-PHPeB

The problem of fatigue in patients suffering from neoplastic disease

Modern therapeutic management of patients with cancer is associated with many adverse side effects, including fatigue defined as weariness, burnout, lassitude, malaise, apathy, impatience, and/or inability to perform daily activities. It occurs frequently before the diagnosis of cancer and may persist for a long time after the end of cancer therapy. It is a common problem that occurs regardless of the type of cancer and applied therapeutic procedure. The appearance of this symptom significantly affects the quality of life of patients and often reduces the effectiveness of implemented treatment. The symptom of fatigue occurs among approximately 80% of patients treated with chemotherapy and/or radiotherapy, as well as among more than 75% of patients with metastatic disease. Causes of fatigue include metabolic and immune system disorders as well as increased level of tumour necrosis factor (TNF-). Recent studies also indicate a significant contribution of other cytokines, especially pro-inflammatory ones, i.e. interleukin-1 (IL-1), interleukin-6 (IL-6), soluble tumour necrosis factor receptor type II (sTNF type II) and C-reactive protein (CRP). A patient reporting fatigue should be properly diagnosed and thoroughly interviewed by doctors. Patients are mostly treated non-pharmacologically (by means of physical exercise and psychotherapy) and pharmacologically (by applying methylphenidate and methylprednisolone). What is also extremely important is proper education of the patient and their closest family/friends on the symptoms, which significantly reduces anxiety and stress. On the other hand therapeutic management hinders the subjectivity of feeling and lack of standardised scales to rate symptoms

The problem of fatigue in patients suffering from neoplastic disease

Modern therapeutic management of patients with cancer is associated with many adverse side effects, including fatigue defined as weariness, burnout, lassitude, malaise, apathy, impatience, and/or inability to perform daily activities. It occurs frequently before the diagnosis of cancer and may persist for a long time after the end of cancer therapy. It is a common problem that occurs regardless of the type of cancer and applied therapeutic procedure. The appearance of this symptom significantly affects the quality of life of patients and often reduces the effectiveness of implemented treatment. The symptom of fatigue occurs among approximately 80% of patients treated with chemotherapy and/or radiotherapy, as well as among more than 75% of patients with metastatic disease. Causes of fatigue include metabolic and immune system disorders as well as increased level of tumour necrosis factor  (TNF-). Recent studies also indicate a significant contribution of other cytokines, especially pro-inflammatory ones, i.e. interleukin-1 (IL-1), interleukin-6 (IL-6), soluble tumour necrosis factor receptor type II (sTNF type II) and C-reactive protein (CRP). A patient reporting fatigue should be properly diagnosed and thoroughly interviewed by doctors. Patients are mostly treated non-pharmacologically (by means of physical exercise and psychotherapy) and pharmacologically (by applying methylphenidate and methylprednisolone). What is also extremely important is proper education of the patient and their closest family/friends on the symptoms, which significantly reduces anxiety and stress. On the other hand therapeutic management hinders the subjectivity of feeling and lack of standardised scales to rate symptoms

Allele-specific quantitation of ATXN3 and HTT transcripts in polyQ disease models

Background: The majority of genes in the human genome is present in two copies but the expression levels of both alleles is not equal. Allelic imbalance is an aspect of gene expression relevant not only in the context of genetic variation, but also to understand the pathophysiology of genes implicated in genetic disorders, in particular, dominant genetic diseases where patients possess one normal and one mutant allele. Polyglutamine (polyQ) diseases are caused by the expansion of CAG trinucleotide tracts within specific genes. Spinocerebellar ataxia type 3 (SCA3) and Huntington’s disease (HD) patients harbor one normal and one mutant allele that differ in the length of CAG tracts. However, assessing the expression level of individual alleles is challenging due to the presence of abundant CAG repeats in the human transcriptome, which make difficult the design of allele-specific methods, as well as of therapeutic strategies to selectively engage CAG sequences in mutant transcripts. Results: To precisely quantify expression in an allele-specific manner, we used SNP variants that are linked to either normal or CAG expanded alleles of the ataxin-3 (ATXN3) and huntingtin (HTT) genes in selected patient-derived cell lines. We applied a SNP-based quantitative droplet digital PCR (ddPCR) protocol for precise determination of the levels of transcripts in cellular and mouse models. For HD, we showed that the process of cell differentiation can affect the ratio between endogenous alleles of HTT mRNA. Additionally, we reported changes in the absolute number of the ATXN3 and HTT transcripts per cell during neuronal differentiation. We also implemented our assay to reliably monitor, in an allele-specific manner, the silencing efficiency of mRNA-targeting therapeutic approaches for HD. Finally, using the humanized Hu128/21 HD mouse model, we showed that the ratio of normal and mutant HTT transgene expression in brain slightly changes with the age of mice. Conclusions: Using allele-specific ddPCR assays, we observed differences in allele expression levels in the context of SCA3 and HD. Our allele-selective approach is a reliable and quantitative method to analyze low abundant transcripts and is performed with high accuracy and reproducibility. Therefore, the use of this approach can significantly improve understanding of allele-related mechanisms, e.g., related with mRNA processing that may be affected in polyQ diseases.Medicine, Faculty ofNon UBCMedical Genetics, Department ofReviewedFacultyResearche