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Urinary Glycosaminoglycans: Characterization and Quantification.
Fdil, Naima; Sabir, Es-Said.
  • Fdil N; Metabolic Platform, Biochemistry Laboratory, Faculty of Medicine, Cadi Ayyad University, Moroccan Association for Inherited Metabolic Diseases, Marrakech, Morocco. nfdil@yahoo.fr.
  • Sabir ES; Metabolic Platform, Biochemistry Laboratory, Faculty of Medicine, Cadi Ayyad University, Moroccan Association for Inherited Metabolic Diseases, Marrakech, Morocco.
Methods Mol Biol ; 2619: 61-69, 2023.
Article in English | MEDLINE | ID: covidwho-2229918
ABSTRACT
The growing body of evidence supports the potential of using urinary glycosaminoglycans (uGAGs) levels as biomarkers to guide diagnosis and as predictive biomarkers of treatment efficacy. Recently, studies have shown that, in addition to MPS, the prognosis and treatment of cancers and viral infections, including COVID-19, are enabled by characterization and/or traits by GAGs. Reliable and accessible detection and assay protocols of urinary GAGs are therefore of great support for laboratory workers and clinicians. Here we describe a semiquantitative and quantitative urinary glycosaminoglycans determination using 1,9-dimethylmethylene blue (DMB) and the characterization of uGAGs using thin layer chromatography (TLC).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mucopolysaccharidoses / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2023 Document Type: Article Affiliation country: 978-1-0716-2946-8_5

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mucopolysaccharidoses / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2023 Document Type: Article Affiliation country: 978-1-0716-2946-8_5