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Related Experiment Videos

Screening for urinary oligosaccharides: a quantitative procedure.

P Purkiss, R C Hughes, R W Watts

    Clinical Chemistry
    |April 1, 1978
    PubMed
    Summary
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    This study presents a new urine screening method for detecting abnormal glycoconjugate excretion. The technique analyzes monosaccharide patterns derived from complex carbohydrates, aiding in diagnosing metabolic disorders.

    Area of Science:

    • Biochemistry
    • Analytical Chemistry
    • Clinical Diagnostics

    Background:

    • Glycoconjugates are crucial biomolecules involved in numerous biological processes.
    • Abnormalities in glycoconjugate metabolism can lead to various inherited and acquired disorders.
    • Current diagnostic methods for glycoconjugate disorders may be invasive or lack comprehensive screening capabilities.

    Purpose of the Study:

    • To develop and validate a novel method for screening urine for aberrant glycoconjugate excretion.
    • To establish a characteristic monosaccharide profile from urine complex carbohydrates for diagnostic purposes.
    • To assess the method's utility in identifying disorders of glycoconjugate metabolism.

    Main Methods:

    • Isolation of an oligosaccharide-rich fraction from urine samples using gel chromatography.

    Related Experiment Videos

  • Degradation of isolated carbohydrates into monosaccharides.
  • Analysis of monosaccharide derivatives via gas-liquid chromatography to generate a characteristic excretion pattern.

    • Main Results:

    • A reproducible method for analyzing urinary monosaccharide composition derived from complex carbohydrates was established.
    • Reference data were generated from normal individuals across different age groups.
    • The method demonstrated applicability in distinguishing abnormal patterns in patients with known glycoconjugate metabolism disorders.

    Conclusions:

    • The developed gas-liquid chromatography-based method offers a viable approach for screening urinary glycoconjugate abnormalities.
    • This technique provides a valuable tool for the early detection and characterization of disorders affecting complex carbohydrate metabolism.
    • Further validation in broader patient populations is warranted to fully elucidate the method's clinical diagnostic potential.