Logo image
Urinary glycan markers for disease
Journal article

Urinary glycan markers for disease

Dominic S. Alonzi, Ying-Hsiu Su and Terry D. Butters
Biochemical Society transactions, v 39(1), pp 393-398
01 Feb 2011
PMID: 21265811

Abstract

Biochemistry & Molecular Biology Life Sciences & Biomedicine Science & Technology
Robust assays for the isolation and characterization of urinary FOS (free oligosaccharides) have been developed to screen patients for altered protein and/or lipid glycosylation. A FOS analysis can therefore identify potential biomarkers for hepatocellular carcinoma, since variations in glycosylation as a result of tumorigenecity should be detectable in the FOS of patients. HCC (hepatocellular carcinoma) accounts for 80-90% of all liver cancers. It occurs more often in men than women and occurs mostly in people 50-60 years old. The disease is more common in parts of Africa and Asia than in North or South America and Europe. Using a combination of solid-phase extraction techniques and affinity chromatography, followed by separation of urinary FOS by NP (normal phase)-HPLC and HIAX (hydrophilic interaction and anion-exchange)-HPLC, more than 200 different species have been identified in patient samples. The high incidence of small sialylated oligosaccharides in HCC patients suggests that pro-inflammatory markers may be detected as early indicators of disease progression. In addition, the methods developed here to isolate and analyse excreted glycoprotein- and glycosphingolipid-bound oligosaccharides have been used to characterize changes in metabolic processes that underlie a number of human genetic disorders. The ability to predict disease status in microlitre amounts of readily available non-invasive urine samples indicates that rapid methods for screening can be developed.

Metrics

7 Record Views
11 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Biochemistry & Molecular Biology
Logo image