ArticleAnnals of neurology2017
Prediction of phenotypic severity in mucopolysaccharidosis type IIIA.
Article in Annals of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Acute transient psychotic episode as presenting sign of Mucopolysaccharidosis III A (Sanfilippo Syndrome type A) in an adolescent patient.European child & adolescent psychiatry · 2025Article
- Mucopolysaccharidoses types I and IIIA: Diagnosis and identification of novel polymorphisms associated with common mutations in Moroccan patients.Molecular genetics and metabolism reports · 2025Article
- VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.Computational and structural biotechnology journal · 2025Article
- Separating gene clustering in the rare mucopolysaccharidosis disease.Journal of applied genetics · 2022Article
- An EngineeredInternational journal of molecular sciences · 2021Article
- Transcriptomic Changes Related to Cellular Processes with Particular Emphasis on Cell Activation in Lysosomal Storage Diseases from the Group of Mucopolysaccharidoses.International journal of molecular sciences · 2020Article
- Molecular Bases of Neurodegeneration and Cognitive Decline, the Major Burden of Sanfilippo Disease.Journal of clinical medicine · 2020Review
- Advances in the Development of Pharmacological Chaperones for the Mucopolysaccharidoses.International journal of molecular sciences · 2019Review
- Bioinformatics classification of mutations in patients with Mucopolysaccharidosis IIIA.Metabolic brain disease · 2019Article
- Genetic testing of Mucopolysaccharidoses disease using multiplex PCR- based panels of STR markers: in silico analysis of novel mutations.Metabolic brain disease · 2019Article
- Early prediction of phenotypic severity in Citrullinemia Type 1.Annals of clinical and translational neurology · 2019Article
- A novel mutation of SGSH and clinical features analysis of mucopolysaccharidosis type IIIA.Medicine · 2018Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveMucopolysaccharidosis IIIA or Sanfilippo disease type A is a progressive neurodegenerative disorder presenting in early childhood, caused by an inherited deficiency of the lysosomal hydrolase sulfamidase. New missense mutations, for which genotype-phenotype correlations are currently unknown, are frequently reported, hampering early prediction of phenotypic severity and efficacy assessment of new disease-modifying treatments. We aimed to design a method to determine phenotypic severity early in the disease course.
methodsFifty-three patients were included for whom skin fibroblasts and data on disease course and mutation analysis were available. Patients were phenotypically characterized on clinical data as rapidly progressing or slowly progressing. Sulfamidase activity was measured in fibroblasts cultured at 37 °C and at 30 °C.
resultsSulfamidase activity in fibroblasts from patients homozygous or compound heterozygous for a combination of known severe mutations remained below the limit of quantification under both culture conditions. In contrast, sulfamidase activity in fibroblasts from patients homozygous or compound heterozygous for a known mild mutation increased above the limit of quantification when cultured at 30 °C. With division on the basis of the patients' phenotype, fibroblasts from slowly progressing patients could be separated from rapidly progressing patients by increase in sulfamidase activity when cultured at 30 °C (p < 0.001, sensitivity = 96%, specificity = 93%).
interpretationPhenotypic severity strongly correlates with the potential to increase sulfamidase activity in fibroblasts cultured at 30 °C, allowing reliable distinction between patients with rapidly progressing or slowly progressing phenotypes. This method may provide an essential tool for assessment of treatment effects and for health care and life planning decisions. Ann Neurol 2017;82:686-696.
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