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Diagnosing AICA-ribosiduria by capillary electrophoresis
AICA-ribosiduria is a recently discovered inherited metabolic disease caused by a defect in final steps of purine de novo biosynthesis—5-amino-4-imidazolecarboxamide ribotide (AICAR)-transformylase/inosinemonophosphate (IMP)-cyclohydrolase (ATIC). A rapid and selective capillary electrophoretic meth...
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Published in: | Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2006-10, Vol.843 (1), p.15-19 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | AICA-ribosiduria is a recently discovered inherited metabolic disease caused by a defect in final steps of purine
de novo biosynthesis—5-amino-4-imidazolecarboxamide ribotide (AICAR)-transformylase/inosinemonophosphate (IMP)-cyclohydrolase (ATIC). A rapid and selective capillary electrophoretic method for screening of patients with AICA-ribosiduria is described. The method is based on direct ultraviolet detection of 5-amino-4-imidazolecarboxamide (AICA) and 5-amino-4-imidazolecarboxamide riboside (AICAr) in untreated urine. Background electrolyte consists of 100
mM malonic acid adjusted with γ-aminobutyric acid (pH 2.7). Under the given separation conditions both compounds of interest are well separated from other substances with separation efficiency of 1
020
000 and 130
000 theoretical plates/m for AICA and AICAr, respectively. Total analysis time is 3
min with the limits of detection of 3.6
μM and 4.5
μM for AICA and AICAr, respectively. The usefulness of the presented method for screening of patients with ATIC deficiency is demonstrated on samples of Chinese hamster ovary cell line defective in ATIC activity, spiked urine samples and urine samples from patients treated with high-dose MTX which do not excrete increased amounts of AICA and AICAr compared to untreated controls (
p
<
0.05). The described method is fast and effective enough for diagnostic applications. |
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ISSN: | 1570-0232 1873-376X |
DOI: | 10.1016/j.jchromb.2006.05.020 |