Defining the Phenotype and Assessing Severity in Phosphoglucomutase-1 Deficiency
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, N.I.H., Extramural
Grantová podpora
R01 MH101810
NIMH NIH HHS - United States
PubMed
27206562
DOI
10.1016/j.jpeds.2016.04.021
PII: S0022-3476(16)30069-5
Knihovny.cz E-zdroje
- Klíčová slova
- bifid uvula, cleft palate, coagulopathy, congenital disorder of glycosylation, congenital malformation, dilated cardiomyopathy, hepatopathy, hormonal deficiency, hypoglycemia, myopathy, small stature,
- MeSH
- algoritmy MeSH
- analýza hlavních komponent MeSH
- dítě MeSH
- dospělí MeSH
- fenotyp * MeSH
- fosfoglukomutasa nedostatek genetika MeSH
- fyzikální vyšetření MeSH
- genetické markery MeSH
- genotyp MeSH
- glykogenóza diagnóza enzymologie genetika MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mutace MeSH
- předškolní dítě MeSH
- regresní analýza MeSH
- stupeň závažnosti nemoci * MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Názvy látek
- fosfoglukomutasa MeSH
- genetické markery MeSH
- PGM1 protein, human MeSH Prohlížeč
OBJECTIVE: To define phenotypic groups and identify predictors of disease severity in patients with phosphoglucomutase-1 deficiency (PGM1-CDG). STUDY DESIGN: We evaluated 27 patients with PGM1-CDG who were divided into 3 phenotypic groups, and group assignment was validated by a scoring system, the Tulane PGM1-CDG Rating Scale (TPCRS). This scale evaluates measurable clinical features of PGM1-CDG. We examined the relationship between genotype, enzyme activity, and TPCRS score by using regression analysis. Associations between the most common clinical features and disease severity were evaluated by principal component analysis. RESULTS: We found a statistically significant stratification of the TPCRS scores among the phenotypic groups (P < .001). Regression analysis showed that there is no significant correlation between genotype, enzyme activity, and TPCRS score. Principal component analysis identified 5 variables that contributed to 54% variance in the cohort and are predictive of disease severity: congenital malformation, cardiac involvement, endocrine deficiency, myopathy, and growth. CONCLUSIONS: We established a scoring algorithm to reliably evaluate disease severity in patients with PGM1-CDG on the basis of their clinical history and presentation. We also identified 5 clinical features that are predictors of disease severity; 2 of these features can be evaluated by physical examination, without the need for specific diagnostic testing and thus allow for rapid assessment and initiation of therapy.
Biochemical Diseases Mater Children's Hospital South Brisbane Queensland Australia
Biochemistry and Chemistry Departments University of Missouri Columbia MO
Centre for Metabolic Diseases University Hospital Gasthuisberg Herestraat Leuven Belgium
Department of Genetics Washington University School of Medicine Saint Louis MO
Department of Neurology Radboudumc Nijmegen The Netherlands
Department of Pediatric Habilitation Stavanger University Hospital Stavanger Norway
Department of Pediatrics Radboud University Nijmegen Medical Center Nijmegen The Netherlands
Department of Pediatrics Universitair Ziekenhuis Leuven Leuven Belgium
Department of Pediatrics University of Münster Münster Germany
Hayward Genetics Center Tulane University School of Medicine New Orleans LA
Pediatric Cardiology Bergisch Gladbacher Köln Germany
Pediatric Endocrinology The Children's Hospital of Philadelphia Philadelphia PA
Sackler Faculty of Medicine Tel Aviv University Tel Aviv Yafo Israel
Salzburger Landeskliniken Department of Pediatrics Paracelsus Medical University Salzburg Austria
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