Newborn Urinary Metabolic Signatures of Prematurity and Other Disorders: A Case Control Study
authors Diaz, SO; Pinto, J; Barros, AS; Morais, E; Duarte, D; Negrao, F; Pita, C; Almeida, MD; Carreira, IM; Spraul, M; Gil, AM
nationality International
journal JOURNAL OF PROTEOME RESEARCH
author keywords urine; newborn; prematurity; respiratory depression; large for gestational age; malformations; metabolomics; NMR
keywords INTRAUTERINE GROWTH-RETARDATION; HYPOXIC-ISCHEMIC ENCEPHALOPATHY; MAGNETIC-RESONANCE-SPECTROSCOPY; NMR-BASED METABONOMICS; BIRTH-WEIGHT INFANTS; OXIDATIVE STRESS; INBORN-ERRORS; PRETERM NEWBORNS; H-1-NMR; PREGNANCY
abstract This work assesses the urinary metabolite signature of prematurity in newborns by nuclear magnetic resonance (NMR) spectroscopy, while establishing the role of possible confounders and signature specificity, through comparison to other disorders. Gender and delivery mode are shown to impact importantly on newborn urine composition, their analysis pointing out at specific metabolite variations requiring consideration in unmatched subject groups. Premature newborns are, however, characterized by a stronger signature of varying metabolites, suggestive of disturbances in nucleotide metabolism, lung surfactants biosynthesis and renal function, along with enhancement of tricarboxylic acid (TCA) cycle activity, fatty acids oxidation, and oxidative stress. Comparison with other abnormal conditions (respiratory depression episode, large for gestational age, malformations, jaundice and premature rupture of membranes) reveals that such signature seems to be largely specific of preterm newborns, showing that NMR metabolomics can retrieve particular disorder effects, as well as general stress effects. These results provide valuable novel information on the metabolic impact of prematurity, contributing to the better understanding of its effects on the newborn's state of health.
publisher AMER CHEMICAL SOC
issn 1535-3893
year published 2016
volume 15
issue 1
beginning page 311
ending page 325
digital object identifier (doi) 10.1021/acs.jproteome.5b00977
web of science category Biochemical Research Methods
subject category Biochemistry & Molecular Biology
unique article identifier WOS:000367706000025
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journal impact factor 3.950
5 year journal impact factor 4.033
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