Cargando…

Delineating the phenotypic spectrum of sulfite oxidase and molybdenum cofactor deficiency

OBJECTIVE: To define the phenotypic spectrum of isolated sulfite oxidase (ISOD) and molybdenum cofactor deficiency (MoCD), aiming to promote timely diagnosis and assist in future clinical trial design. METHODS: We analyzed clinical, radiographic, biochemical, and genetic data from 146 patients repor...

Descripción completa

Detalles Bibliográficos
Autores principales: Misko, Albert L., Liang, Ye, Kohl, Joshua B., Eichler, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371372/
https://www.ncbi.nlm.nih.gov/pubmed/32802950
http://dx.doi.org/10.1212/NXG.0000000000000486
Descripción
Sumario:OBJECTIVE: To define the phenotypic spectrum of isolated sulfite oxidase (ISOD) and molybdenum cofactor deficiency (MoCD), aiming to promote timely diagnosis and assist in future clinical trial design. METHODS: We analyzed clinical, radiographic, biochemical, and genetic data from 146 patients reported in the literature. RESULTS: We stratified patients into 2 phenotypic subgroups based on clinical and radiographic characteristics. In the first (Class I), patients presented early in life (age 1–50 days) with acute onset of neurologic symptoms and development of diffuse brain injury with cystic leukomalacia. Patients in the second subgroup (Class II) presented later in life (age 30 days–23 years) with prominent movement abnormalities and selective injury of the basal ganglia and cerebellum. A significant difference in survival estimates correlated with milder disease severity among Class II patients. Substantial overlap in sulfur-containing metabolite levels prevented discrimination of subgroups based on diagnostic biomarkers, but genotype-phenotype correlations suggested that residual SUOX activity may contribute to milder phenotypes. CONCLUSIONS: Patients with SUOX and MoCD gravitate toward 1 of 2 distinct clinicoradiographic profiles. Patient stratification may help promote accurate diagnosis, prognostication, and aid in the design of future clinical trials.