Literature DB >> 17467347

Noninvasive human metabolome analysis for differential diagnosis of inborn errors of metabolism.

Tomiko Kuhara1.   

Abstract

Early diagnosis and treatment are critical for patients with inborn errors of metabolism (IEMs). For most IEMs, the clinical presentations are variable and nonspecific, and routine laboratory tests do not indicate the etiology of the disease. A diagnostic procedure using highly sensitive gas chromatography-mass spectrometric urine metabolome analysis is useful for screening and chemical diagnosis of IEM. Metabolite analysis can comprehensively detect enzyme dysfunction caused by a variety of abnormalities. The mutations may be uncommon or unknown. The lack of coenzymes or activators and the presence of post-translational modification defects and subcellular localization abnormalities are also reflected in the metabolome. This noninvasive and feasible urine metabolome analysis, which uses urease-pretreatment, partial adoption of stable isotope dilution, and GC/MS, can be used to detect more than 130 metabolic disorders. It can also detect an acquired abnormal metabolic profile. The metabolic profiles for two cases of non-inherited phenylketonuria are shown. In this review, chemical diagnoses of hyperphenylalaninemia, phenylketonuria, hyperprolinemia, and lactic acidemia, and the differential diagnosis of beta-ureidopropionase deficiency and primary hyperammonemias including ornithine transcarbamylase deficiency and carbamoylphosphate synthetase deficiency are described.

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Year:  2007        PMID: 17467347     DOI: 10.1016/j.jchromb.2007.03.031

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  15 in total

1.  Determination of mutation patterns in human ornithine transcarbamylase precursor.

Authors:  Shaomin Yan; Guang Wu
Journal:  J Clin Monit Comput       Date:  2009-02-10       Impact factor: 2.502

Review 2.  Emerging applications of metabolomics in studying chemopreventive phytochemicals.

Authors:  Lei Wang; Chi Chen
Journal:  AAPS J       Date:  2013-06-22       Impact factor: 4.009

3.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

4.  Methylmalonic Acidemia Diagnosis by Laboratory Methods.

Authors:  Fatemeh Keyfi; Saeed Talebi; Abdol-Reza Varasteh
Journal:  Rep Biochem Mol Biol       Date:  2016-10

5.  A Statistical Analysis of the Effects of Urease Pre-treatment on the Measurement of the Urinary Metabolome by Gas Chromatography-Mass Spectrometry.

Authors:  Bobbie-Jo Webb-Robertson; Young-Mo Kim; Erika M Zink; Katherine A Hallaian; Qibin Zhang; Ramana Madupu; Katrina M Waters; Thomas O Metz
Journal:  Metabolomics       Date:  2014-10-01       Impact factor: 4.290

6.  A practical approach to detect unique metabolic patterns for personalized medicine.

Authors:  Jennifer M Johnson; Tianwei Yu; Frederick H Strobel; Dean P Jones
Journal:  Analyst       Date:  2010-09-13       Impact factor: 4.616

Review 7.  α-Ketoglutaramate: an overlooked metabolite of glutamine and a biomarker for hepatic encephalopathy and inborn errors of the urea cycle.

Authors:  Arthur J L Cooper; Tomiko Kuhara
Journal:  Metab Brain Dis       Date:  2013-11-14       Impact factor: 3.584

Review 8.  Current medical research with the application of coupled techniques with mass spectrometry.

Authors:  Joanna Kałużna-Czaplińska
Journal:  Med Sci Monit       Date:  2011-05

9.  Targeted peptide measurements in biology and medicine: best practices for mass spectrometry-based assay development using a fit-for-purpose approach.

Authors:  Steven A Carr; Susan E Abbatiello; Bradley L Ackermann; Christoph Borchers; Bruno Domon; Eric W Deutsch; Russell P Grant; Andrew N Hoofnagle; Ruth Hüttenhain; John M Koomen; Daniel C Liebler; Tao Liu; Brendan MacLean; D R Mani; Elizabeth Mansfield; Hendrik Neubert; Amanda G Paulovich; Lukas Reiter; Olga Vitek; Ruedi Aebersold; Leigh Anderson; Robert Bethem; Josip Blonder; Emily Boja; Julianne Botelho; Michael Boyne; Ralph A Bradshaw; Alma L Burlingame; Daniel Chan; Hasmik Keshishian; Eric Kuhn; Christopher Kinsinger; Jerry S H Lee; Sang-Won Lee; Robert Moritz; Juan Oses-Prieto; Nader Rifai; James Ritchie; Henry Rodriguez; Pothur R Srinivas; R Reid Townsend; Jennifer Van Eyk; Gordon Whiteley; Arun Wiita; Susan Weintraub
Journal:  Mol Cell Proteomics       Date:  2014-01-17       Impact factor: 5.911

10.  Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics.

Authors:  D R Mani; Susan E Abbatiello; Steven A Carr
Journal:  BMC Bioinformatics       Date:  2012-11-05       Impact factor: 3.169

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