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From genotype to phenotype: Early prediction of disease severity in argininosuccinic aciduria.
Zielonka, Matthias; Garbade, Sven F; Gleich, Florian; Okun, Jürgen G; Nagamani, Sandesh C S; Gropman, Andrea L; Hoffmann, Georg F; Kölker, Stefan; Posset, Roland.
Afiliación
  • Zielonka M; Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
  • Garbade SF; Heidelberg Research Center for Molecular Medicine (HRCMM), Heidelberg, Germany.
  • Gleich F; Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
  • Okun JG; Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
  • Nagamani SCS; Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
  • Gropman AL; Department of Molecular and Human Genetics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas.
  • Hoffmann GF; Division of Neurodevelopmental Pediatrics and Neurogenetics, Children's National Health System and The George Washington School of Medicine, Washington, District of Columbia.
  • Kölker S; Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
  • Posset R; Division of Pediatric Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Hum Mutat ; 41(5): 946-960, 2020 05.
Article en En | MEDLINE | ID: mdl-31943503
Argininosuccinic aciduria (ASA) is an inherited urea cycle disorder and has a highly variable phenotypic spectrum ranging from individuals with lethal hyperammonemic encephalopathy, liver dysfunction, and cognitive deterioration, to individuals with a mild disease course. As it is difficult to predict the phenotypic severity, we aimed at identifying a reliable disease prediction model. We applied a biallelic expression system to assess the functional impact of pathogenic argininosuccinate lyase (ASL) variants and to determine the enzymatic activity of ASL in 58 individuals with ASA. This cohort represented 42 ASL gene variants and 42 combinations in total. Enzymatic ASL activity was compared with biochemical and clinical endpoints from the UCDC and E-IMD databases. Enzymatic ASL activity correlated with peak plasma ammonium concentration at initial presentation and with the number of hyperammonemic events (HAEs) per year of observation. Individuals with ≤9% of enzymatic activity had more severe initial decompensations and a higher annual frequency of HAEs than individuals above this threshold. Enzymatic ASL activity also correlated with the cognitive outcome and the severity of the liver disease, enabling a reliable severity prediction for individuals with ASA. Thus, enzymatic activity measured by this novel expression system can serve as an important marker of phenotypic severity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Predisposición Genética a la Enfermedad / Aciduria Argininosuccínica / Estudios de Asociación Genética / Genotipo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Predisposición Genética a la Enfermedad / Aciduria Argininosuccínica / Estudios de Asociación Genética / Genotipo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Alemania
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