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Mucopolysaccharidosis IVA: Correlation between genotype, phenotype and keratan sulfate levels

Authors :
Vũ Chí Dũng
William G. Mackenzie
Yasuyuki Suzuki
Adriana M. Montaño
Shunji Tomatsu
Tadao Orii
Gary S. Gottesman
Grant A. Mitchell
Michael B. Bober
Miho Maeda
Source :
Molecular Genetics and Metabolism. 110:129-138
Publication Year :
2013
Publisher :
Elsevier BV, 2013.

Abstract

article i nfo Mucopolysaccharidosis IVA (MPS IVA) is caused by deficiency of N-acetylgalactosamine-6-sulfate sulfatase (GALNS), leading to systemic skeletal dysplasia because of excessive storage of keratan sulfate (KS) in chondrocytes. In an effort to determine a precise prognosis and personalized treatment, we aim to characterize clinical, biochemical, and molecular findings in MPS IVA patients, and to seek correlations between genotype, phenotype, and blood and urine KS levels. Mutation screening of GALNS gene was performed in 55 MPS IVA pa- tients (severe: 36, attenuated: 13, undefined: 6) by genomic PCR followed by direct sequence analysis. Plasma and urine KS levels were measured by ELISA method. Genotype/phenotype/KS correlations were assessed when data were available. Fifty-three different mutations including 19 novel ones (41 missense, 2 nonsense, 4 small deletions, 1 insertion, and 5 splice-site) were identified in 55 patients and accounted for 93.6% of the ana- lyzed mutant alleles. Thirty-nine mutations were associated with a severe phenotype and ten mutations with an attenuated one. Blood and urine KS concentrations in MPS IVA patients were age-dependent and markedly higher than those in age-matched normal controls. Plasma and urine KS levels in MPS IVA patients with the se- vere phenotype were higher than in those with an attenuated form. This study provides evidence for extensive allelic heterogeneity of MPS IVA. Accumulation of mutations as well as clinical descriptions and KS levels allows us to predict clinical severity more precisely and should be used for evaluation of responses to potential treatment options.

Details

ISSN :
10967192
Volume :
110
Database :
OpenAIRE
Journal :
Molecular Genetics and Metabolism
Accession number :
edsair.doi.dedup.....6f0d17505ce47de80b47b349ab680980