ArticleMetabolic brain disease2017
Severe neurological manifestations in an Egyptian patient with a novel frameshift mutation in the Glutaryl-CoA dehydrogenase gene.
Article in Metabolic brain disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 7 citations in OpenAlex.
- Clinical, biochemical, neuroradiological and molecular characterization of Egyptian patients with glutaric acidemia type 1.Metabolic brain disease · 2019Article
- Computational modelling approaches as a potential platform to understand the molecular genetics association between Parkinson's and Gaucher diseases.Metabolic brain disease · 2018Article
- Genotype-phenotype correlation in 18 Egyptian patients with glutaric acidemia type I.Metabolic brain disease · 2017Article
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9 authors at 5 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
To characterize an Egyptian patient with glutaric acidemia type I (GA I) and to identify the causative mutation(s) that may be responsible for the disease phenotype. MRI was performed on the patient using the 1.5 T magnet, biochemical analysis was carried out using gas chromatography/mass spectrometry on the patient's dried blood spot, and the patient's organic acids were measured in dried blood and a urine sample using MS/MS and GC/MS, respectively. Total RNA was isolated from the patient's peripheral blood, and the synthesized cDNA was bi-directionally sequenced. The patient exhibited clinical features and MRI findings compatible with a diagnosis of GA I. The abnormal elevation of organic acids in the urine supported the presence of glutaryl-CoA dehydrogenase deficiency. Gene sequencing revealed a novel homozygous frameshift mutation, c.644_645insCTCG; p.(Pro217Leufs*14), in exon 8 of the GCDH gene. The present study revealed a novel frameshift mutation responsible for a severe GA I phenotype in an Egyptian patient. This novel mutation will ultimately contribute to a better understanding of the molecular pathology of the disease and shed light on the intricacies of the genotype-phenotype correlation of GA I disease.
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