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Correlation between severity of mucopolysaccharidoses and combination of the residual enzyme activity and efficiency of glycosaminoglycan synthesis
Author(s) -
Piotrowska Ewa,
JakóbkiewiczBanecka Joanna,
TylkiSzymańska Anna,
Czartoryska Barbara,
Węgrzyn Alicja,
Węgrzyn Grzegorz
Publication year - 2009
Publication title -
acta pædiatrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 115
eISSN - 1651-2227
pISSN - 0803-5253
DOI - 10.1111/j.1651-2227.2008.01153.x
Subject(s) - glycosaminoglycan , enzyme replacement therapy , phenotype , enzyme , medicine , enzyme assay , urinary system , residual , biochemistry , endocrinology , chemistry , disease , gene , algorithm , computer science , anatomy
Aim: To develop a method for prediction of severity and clinical course of mucopolysaccharidoses (MPS), a group of inherited metabolic diseases. Methods: Various biochemical and clinical parameters (including estimation of the level of clinical severity, presence of specific mutations, residual enzyme activity, urinary glycosaminoglycan (GAG) excretion, storage of GAG in fibroblasts and efficiency of GAG synthesis) of patients suffering from MPS types II, IIIA and IIIB were determined. Correlations between genetic, biochemical and clinical parameters were tested. Results: We found that efficiency of GAG synthesis may contribute to the level of severity of MPS. It appears that (i) combination of low or average efficiency of GAG synthesis and the presence of residual activity of the enzyme is responsible for an attenuated phenotype, (ii) a lack of detectable residual enzyme activity causes a severe phenotype, irrespective of the efficiency of GAG synthesis and (iii) high efficiency of GAG synthesis leads to a severe phenotype, even if residual enzyme activity is detected. This correlation was found to be valid in 15 out of 17 patients tested. Conclusion: Analysis of efficiency of GAG synthesis and residual activity of the enzyme may be considered for prediction of severity of MPS patients’ clinical phenotypes.