Spinocerebellar ataxias (SСAs) are a highly heterogeneous group of inherited neurological disorders. The symptoms of ataxia vary in individual patients and even within the same SCA subtype. A study of a four-generation family with autosomal dominant (AD) non-progressive SCA with mild symptoms was conducted. The genotyping of this family revealed no frequent pathogenic mutations. So the objective of this study was to identify the genetic causes of the disease in this family with the technology of whole-exome sequencing (WES). WES, candidate variant analysis with further Sanger sequencing, mRNA secondary structure prediction, and RSCU analysis were performed; a heterozygous missense mutation in ITPR1 was identified. Our study confirms the fact that ITPR1 gene plays a certain role in the pathogenesis of SCAs, and, therefore, we suggest that c.4657G>A p.Val1553Met) is a disease-causing mutation in the family studied.
Background: Parkinson’s disease is a complex disease with its monogenic forms accounting for less than 10% of all cases. Whole-exome sequencing technology has been used successfully to find mutations in large families. However, because of the late onset of the disease, only small families and unrelated patients are usually available. Whole-exome sequencing conducted in such cases yields in a large number of candidate variants. There are currently a number of imperfect software tools that allow the pathogenicity of variants to be evaluated. Objectives: We analyzed 48 unrelated patients with an alleged autosomal dominant familial form of Parkinson’s disease using whole-exome sequencing and developed a strategy for selecting potential pathogenetically significant variants using almost all available bioinformatics resources for the analysis of exonic areas. Methods: DNA sequencing of 48 patients with excluded frequent mutations was performed using an Illumina HiSeq 2500 platform. The possible pathogenetic significance of identified variants and their involvement in the pathogenesis of Parkinson’s disease was assessed using SVS, CADD, and REVEL software. Functional evaluation was performed using the Pathway Studio database. Results: A significant reduction in the search range from 7082 to 25 variants in 23 genes associated with Parkinson’s disease or neuronal function was achieved. Eight (FXN, MFN2, MYOC, NPC1, PSEN1, RET, SCN3A, and SPG7) were the most significant. Conclusions: The multistep approach developed made it possible to conduct an effective search for potential pathogenetically significant variants, presumably involved in the pathogenesis of Parkinson’s disease. The data obtained need to be further verified experimentally.
19 October 2016 in International Journal of Neuroscience
Aim of the study: Mutations in PARK2 are one of the causes of Parkinson's disease (PD). Deletions and duplications/triplications of one exon or exon groups account for a large proportion of mutations in the gene. At the present time, it is still not fully clear whether heterozygous mutations cause the development of PD. Our study aimed at conducting screening for mutations in PARK2 in patients with a sporadic form of PD to clarify the role of PARK2 in the development of PD. Materials and methods: The cohort of 327 patients with PD was screened by quantitative real-time polimerase chain reaction (PCR) with subsequent Sanger sequencing. Results: It was found that a sufficiently large proportion of these patients (21 patients, 6.4%) were carriers of heterozygous deletions or duplications in PARK2. Analysis of PARK2 exon rearrangement carriers for the presence of point mutations in PARK2 did not reveal any variants with pathogenic significance. Conclusions: Thus, our data indicate that heterozygous deletions and duplications can play an important role in the pathogenesis of PD and can be considered as dominant mutations with low penetrance.
Parkinson’s disease (PD) is characterized by a long prodromal period, during which patients often have sleep disturbances. The histaminergic system and circadian rhythms play an important role in the regulation of the sleep–wake cycle. Changes in the functioning of these systems may be involved in the pathogenesis of early stages of PD and may be age-dependent. Here, we have analyzed changes in the expression of genes associated with the regulation of the sleep–wake cycle (Hnmt, Hrh1, Hrh3, Per1, Per2, and Chrm3) in the substantia nigra (SN) and striatum of normal male mice of different ages, as well as in young and adult male mice with an MPTP-induced model of the early symptomatic stage (ESS) of PD. Age-dependent expression analysis in normal mouse brain tissue revealed changes in Hrh3, Per1, Per2, and Chrm3 genes in adult mice relative to young mice. When gene expression was examined in mice with the MPTP-induced model of the ESS of PD, changes in the expression of all studied genes were found only in the SN of adult mice with the ESS model of PD. These data suggest that age is a significant factor influencing changes in the expression of genes associated with sleep–wake cycle regulation in the development of PD.
30 October 2018 in International Journal of Neuroscience
Aim of the study: It was found that the mutations in the SDHD gene, encoding one of subunits of the succinate dehydrogenase complex, lead to the development of head and neck paraganglioma (HNPGL). We analyzed this gene in 91 patients with HNPGL from Russia. Materials and methods: DNA was isolated from the whole blood. A screening for mutations was performed by Sanger sequencing. Results: We revealed three missense mutations that have been described previously: p.Pro81Leu, p.His102Arg, p.Tyr114Cys. Moreover, we identified a novel potentially pathogenic variant (p.Trp105*). Conclusions: We found that mutations in the SDHD gene were less common in Russian patients compared with the majority of European populations. It was shown that the p.His102Arg mutation is a major mutation in Russia. We confirmed the previous suggestion that a bilateral localization of the tumor and the carotid type represent a marker of the genetically determined form of HNPGL.