2018
DOI: 10.1038/s41598-018-22078-2
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Fast, sensitive method for trisaccharide biomarker detection in mucopolysaccharidosis type 1

Abstract: Certain recessively inherited diseases result from an enzyme deficiency within lysosomes. In mucopolysaccharidoses (MPS), a defect in glycosaminoglycan (GAG) degradation leads to GAG accumulation followed by progressive organ and multiple system dysfunctions. Current methods of GAG analysis used to diagnose and monitor the diseases lack sensitivity and throughput. Here we report a LC-MS method with accurate metabolite mass analysis for identifying and quantifying biomarkers for MPS type I without the need for … Show more

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Cited by 1 publication
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“…The analysis of GAGs is less fully developed than the analysis of other biopolymers, proteins and nucleic acids. The most important structural determination of a GAG is its disaccharide composition analysis as this provides information on the family to which it belongs, and in the case of sulfated GAGs its level of substitution may serve as potential biomarkers for the detection of disease [6,7,8]. One of the most convenient methods to obtain this information relies on the enzymatic depolymerization of the GAG polysaccharide using polysaccharide lyases [9] followed by the separation and determination of the resulting disaccharides/oligosaccharides [10].…”
mentioning
confidence: 99%
“…The analysis of GAGs is less fully developed than the analysis of other biopolymers, proteins and nucleic acids. The most important structural determination of a GAG is its disaccharide composition analysis as this provides information on the family to which it belongs, and in the case of sulfated GAGs its level of substitution may serve as potential biomarkers for the detection of disease [6,7,8]. One of the most convenient methods to obtain this information relies on the enzymatic depolymerization of the GAG polysaccharide using polysaccharide lyases [9] followed by the separation and determination of the resulting disaccharides/oligosaccharides [10].…”
mentioning
confidence: 99%