Literature DB >> 29273385

Glycosaminoglycan fragments as a measure of disease burden in the mucopolysaccharidosis type I mouse.

Jennifer T Saville1, Belinda K McDermott1, Maria Fuller2.   

Abstract

Glycosaminoglycan (GAG) catabolism involves endo-hydrolysis of polysaccharides followed by the sequential removal of the non-reducing end residue from the resulting oligosaccharides by exo-enzymes. In the inherited metabolic disorder, mucopolysaccharidosis type I (MPS I), a deficiency in the exo-enzyme, α-l-iduronidase, prevents removal of α-l-iduronic acid residues from the non-reducing end of the GAGs, heparan sulphate (HS) and dermatan sulphate (DS). The excretion of partially degraded HS and DS in urine of MPS I patients has long been recognized, but the question of whether they do indeed reflect GAG load in a particular tissue has not been addressed - an important issue in the context of biomarkers for assessment of disease burden in MPS I. Therefore, we measured specific low molecular weight HS and DS oligosaccharides with terminal α-l-iduronic acid residues, in the brain, liver, kidney, serum and urine, and correlated these findings with total GAG in the MPS I mouse model. Six oligosaccharides were identified in the urine, ranging from di- to pentasaccharides. Of these, five were observed in the kidney, four in the liver and brain, with the three most abundant in urine also seen in serum. These oligosaccharides accounted for just 0.1-2% of total GAG, with a disaccharide showing the best correlation with total GAG. The oligosaccharides and total GAG were most abundant in the liver, with the least observed in the brain. The concentration of oligosaccharides as a percentage of total GAG in urine was similar to that observed in the kidney, and both revealed a similar ratio of HS:DS, suggesting that the oligosaccharide storage pattern in urine is a reflection of that in the kidney. Serum, liver and brain had a similar ratio of HS:DS, which was lower to that seen in the urine and kidney. The distribution of oligosaccharides when ranked from most to least abundant, was also the same between serum, liver and brain suggesting that serum more closely reflects the oligosaccharides of the brain and liver and may therefore be a more informative measurement of disease burden than urine. The accumulation of HS and DS oligosaccharides was observed in the brain as early as one month of age, with the disaccharide showing a continuous increase with age. This demonstrates the progressive nature of the disease and as such this disaccharide could prove to be a useful biomarker to measure disease burden in MPS I.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Glycosaminoglycans; Mass spectrometry; Mouse model; Mucopolysaccharidosis type I

Mesh:

Substances:

Year:  2017        PMID: 29273385     DOI: 10.1016/j.ymgme.2017.12.007

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  8 in total

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Journal:  Mol Genet Metab       Date:  2019-09-11       Impact factor: 4.797

2.  Mucopolysaccharidoses diagnosis in the era of enzyme replacement therapy in Egypt.

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Review 3.  Molecular genetics and metabolism, special edition: Diagnosis, diagnosis and prognosis of Mucopolysaccharidosis IVA.

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Journal:  Mol Genet Metab       Date:  2018-05-15       Impact factor: 4.797

4.  Glycosaminoglycans analysis in blood and urine of patients with mucopolysaccharidosis.

Authors:  Shaukat A Khan; Robert W Mason; Roberto Giugliani; Kenji Orii; Toshiyuki Fukao; Yasuyuki Suzuki; Seiji Yamaguchi; Hironori Kobayashi; Tadao Orii; Shunji Tomatsu
Journal:  Mol Genet Metab       Date:  2018-05-17       Impact factor: 4.797

5.  An At-Risk Population Screening Program for Mucopolysaccharidoses by Measuring Urinary Glycosaminoglycans in Taiwan.

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Authors:  Francesca Maccari; Laura Rigon; Veronica Mantovani; Fabio Galeotti; Marika Salvalaio; Francesca D'Avanzo; Alessandra Zanetti; Federica Capitani; Orazio Gabrielli; Rosella Tomanin; Nicola Volpi
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8.  High-Throughput Liquid Chromatography-Tandem Mass Spectrometry Quantification of Glycosaminoglycans as Biomarkers of Mucopolysaccharidosis II.

Authors:  Junhua Wang; Akhil Bhalla; Julie C Ullman; Meng Fang; Ritesh Ravi; Annie Arguello; Elliot Thomsen; Buyankhishig Tsogtbaatar; Jing L Guo; Lukas L Skuja; Jason C Dugas; Sonnet S Davis; Suresh B Poda; Kannan Gunasekaran; Simona Costanzo; Zachary K Sweeney; Anastasia G Henry; Jeffrey M Harris; Kirk R Henne; Giuseppe Astarita
Journal:  Int J Mol Sci       Date:  2020-07-30       Impact factor: 5.923

  8 in total

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