Newborn Urinary Metabolic Signatures of Prematurity and Other Disorders: A Case Control Study

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Diaz, SO (Author) Other; Pinto, J (Author) Other; Barros, AS (Author) Other; Morais, E (Author) Other; Duarte, D (Author) Other; Negrao, F (Author) Other; Pita, C (Author) Other; Almeida, MD (Author) Other; Carreira, IM (Author) Other; Spraul, M (Author) Other; Gil, AM (Author) Other

Journal

Title: Journal of Proteome Research

Vol. 15

Pages: 311-325

ISSN: 1535-3893

Publisher: American Chemical Society

Indexing

ISI Web of Knowledge - 22 Citations

Scopus - 22 Citations

Other information

Authenticus ID: P-00J-ZW7

DOI: 10.1021/acs.jproteome.5b00977

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15