Automated Metabolic Profiling and Interpretation of GC/MS Data for
Organic Acidemia Screening: A Personal Computer-Based System
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MASAHIKO KIMURA, TAKASHI
YAMAMOTO1 and SEIJI
YAMAGUCHI
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Department of Pediatrics, Shimane Medical University, Shimane
693-8501, and 1Shimadzu SD Co., Kyoto 604-8435
We have developed a personal computer-based system designed for
automated metabolic profiling of urinary organic acids by gas
chromatography-mass spectrometry (GC/MS) and data interpretation for
organic acidemia screening. For the automated profiling, we compiled
retention indices, two target ions and their intensity ratio for 126
urinary metabolites. Metabolites above the cut-off values were flagged
as abnormal compounds. The data interpretation was based on combination
of the flagged metabolites. Diagnostic or index metabolites were
categorized into three groups, AND, OR and
NO, and compiled for each disorder to improve the
specificity of the diagnosis. Groups AND and OR
comprised essential and optional compounds, respectively, which and both
to reach a specific diagnosis. Group NO comprised
metabolites that must be absent to make a definite diagnosis. We tested
this system by analyzing urine specimens from 48 patients previously
diagnosed as having organic acidemias. In all cases, the diagnostic
metabolites were identified and each correct diagnosis could be found
among the possible diseases suggested by the system. Hence, with this
simplified automated system, more people will be able to participate
extensively in any screening programs using GC/MS.
Key words---
organic acidemia; diagnostic algorithm; mass screening; GC/MS
© 1999 Tohoku University Medical Press
Tohoku J. Exp. Med., 1999, 188, 317-334
Address for reprints: Masahiko Kimura, M.D., Department of Pediatrics,
Shimane Medical University, 89-1 Enya, Izumo, Shimane 693-8501, Japan.
e-mail: kimura@shimane-med.ac.jp
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