Metabolomic and bioinformatic analyses in asphyxiated neonates.

Abstract:

OBJECTIVES:We tested the application of bioinformatic algorithms in studying the metabolomic profiles of neonatal urine samples with clinical evidence of severe asphyxia at birth and subsequent neurodevelopmental handicap. DESIGN AND METHODS:The clinical outcomes of 256 newborns that required direct admission to neonatal intensive care unit for respiratory support or did not require direct admission were studied. Urinary metabolite profiles were measured by high throughput mass spectrometry and analyzed by bioinformatic methods. RESULTS:We found a positive relationship between suppressed biochemical networks involved in macromolecular synthesis and birth asphyxia associated with significant neonatal oxidative stress and morbidity. The metabolomic discriminators between good neonatal outcome and poor neonatal outcome were established using hierarchical clustering analysis. Concentrations of eight urinary organic acids in distinct biochemical pathways were elevated and significantly associated with the prognosis of neurodevelopmental handicap with high sensitivity and specificity: ethylmalonate, 3-hydroxy-3-methylglutarate, 2-hydroxy-glutarate and 2-oxo-glutarate were associated with good neonatal outcome, whereas glutarate, methylmalonate, 3-hydroxy-butyrate and orotate were associated with poor outcome. CONCLUSIONS:The data demonstrated the potential application of bioinformatics methods in this metabolomic study and proved its clinical relevance.

journal_name

Clin Biochem

journal_title

Clinical biochemistry

authors

Chu CY,Xiao X,Zhou XG,Lau TK,Rogers MS,Fok TF,Law LK,Pang CP,Wang CC

doi

10.1016/j.clinbiochem.2006.01.006

subject

Has Abstract

pub_date

2006-03-01 00:00:00

pages

203-9

issue

3

eissn

0009-9120

issn

1873-2933

pii

S0009-9120(06)00006-3

journal_volume

39

pub_type

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