Severe Neurodevelopmental Disorder in Autosomal Recessive Spinocerebellar Ataxia 13 (SCAR13) Caused by Two Novel Frameshift Variants in GRM1.

Autosomal recessive spinocerebellar ataxia 13 (SCAR13) is a neurological disease characterized by psychomotor delay, mild to profound intellectual disability with poor or absent language, nystagmus, stance ataxia, and, if walking is acquired, gait ataxia. Epilepsy and polyneuropathy have also been documented in some patients. Cerebellar atrophy and/or ventriculomegaly may be present on brain MRI. SCAR13 is caused by pathogenic variants in the GRM1 gene encoding the metabotropic receptor of glutamate type 1 (mGlur1), which is highly expressed in Purkinje cerebellar cells, where it plays a fundamental role in cerebellar development. Here we discuss the case of an 8-year-old patient who presented with a severe neurodevelopmental disorder with balance disturbance, absence of independent walking, absence of language, diffuse hypotonia, mild nystagmus, and mild dysphagia. Whole-exome sequencing revealed a compound heterozygosity for two likely pathogenic variants in the GRM1 gene, responsible for the patient's phenotype, and made it possible to diagnose autosomal recessive spinocerebellar ataxia SCAR13. The detected (novel) variants appear to be causative of a particularly severe picture with regard to neurodevelopment, in the context of the typical neurological signs of spinocerebellar ataxia.

Evaluation of circulating tumor DNA by electropherogram analysis and methylome profiling in high-risk neuroblastomas.

Background: Liquid biopsy has emerged as a promising, non-invasive diagnostic approach in oncology because the analysis of circulating tumor DNA (ctDNA) reflects the precise status of the disease at diagnosis, progression, and response to treatment. DNA methylation profiling is also a potential solution for sensitive and specific detection of many cancers. The combination of both approaches, DNA methylation analysis from ctDNA, provides an extremely useful and minimally invasive tool with high relevance in patients with childhood cancer. Neuroblastoma is an extracranial solid tumor most common in children and responsible for up to 15% of cancer-related deaths. This high death rate has prompted the scientific community to search for new therapeutic targets. DNA methylation also offers a new source for identifying these molecules. However, the limited blood sample size which can be obtained from children with cancer and the fact that ctDNA content may occasionally be diluted by non-tumor cell-free DNA (cfDNA) complicate optimal quantities of material for high-throughput sequencing studies. Methods: In this article, we present an improved method for ctDNA methylome studies of blood-derived plasma from high-risk neuroblastoma patients. We assessed the electropherogram profiles of ctDNA-containing samples suitable for methylome studies, using 10 ng of plasma-derived ctDNA from 126 samples of 86 high-risk neuroblastoma patients, and evaluated several bioinformatic approaches to analyze DNA methylation sequencing data. Results: We demonstrated that enzymatic methyl-sequencing (EM-seq) outperformed bisulfite conversion-based method, based on the lower proportion of PCR duplicates and the higher percentage of unique mapping reads, mean coverage, and genome coverage. The analysis of the electropherogram profiles revealed the presence of nucleosomal multimers, and occasionally high molecular weight DNA. We established that 10% content of the mono-nucleosomal peak is sufficient ctDNA for successful detection of copy number variations and methylation profiles. Quantification of mono-nucleosomal peak also showed that samples at diagnosis contained a higher amount of ctDNA than relapse samples. Conclusions: Our results refine the use of electropherogram profiles to optimize sample selection for subsequent high-throughput analysis and support the use of liquid biopsy followed by enzymatic conversion of unmethylated cysteines to assess the methylomes of neuroblastoma patients.

Alternative solutions for the bio-denitrification of landfill leachates using pine bark and compost.

Nitrified leachate may still require an additional bio-denitrification step, which occurs with the addition of often-expensive chemicals as carbon source. This study explores the applicability of low-cost carbon sources such as garden refuse compost and pine bark for the denitrification of high strength landfill leachates. The overall objective is to assess efficiency, kinetics and performance of the substrates in the removal of high nitrate concentrations. Garden refuse and pine bark are currently disposed of in general waste landfills in South Africa, separated from the main waste stream. A secondary objective is to assess the feasibility of re-using green waste as by-product of an integrated waste management system. Denitrification processes in fixed bed reactors were simulated at laboratory scale using anaerobic batch tests and leaching columns packed with immature compost and pine bark. Biologically treated leachate from a Sequencing Batch Reactor (SBR) with nitrate concentrations of 350, 700 and 1100 mgN/l were used for the trials. Preliminary results suggest that, passed the acclimatization step (40 days for both substrates), full denitrification is achieved in 10-20 days for the pine bark and 30-40 days for the compost.