Diagnosing AICA-ribosiduria by capillary electrophoresis
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
16798121
DOI
10.1016/j.jchromb.2006.05.020
PII: S1570-0232(06)00436-3
Knihovny.cz E-zdroje
- MeSH
- aminoimidazolkarboxamid analogy a deriváty moč MeSH
- dospělí MeSH
- elektroforéza kapilární metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- ribonukleosidy moč MeSH
- vrozené poruchy metabolismu diagnóza MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- acadesine MeSH Prohlížeč
- aminoimidazolkarboxamid MeSH
- ribonukleosidy MeSH
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 100mM malonic acid adjusted with gamma-aminobutyric acid (pH 2.7). Under the given separation conditions both compounds of interest are well separated from other substances with separation efficiency of 1020000 and 130000 theoretical plates/m for AICA and AICAr, respectively. Total analysis time is 3 min with the limits of detection of 3.6 microM and 4.5 microM 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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