Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/19338
Title: Following Healthy Pregnancy by Nuclear Magnetic Resonance (NMR) Metabolic Profiling of Human Urine
Author: Diaz, Silvia O.
Barros, Antonio S.
Goodfellow, Brian J.
Duarte, Iola F.
Carreira, Isabel M.
Galhano, Eulalia
Pita, Cristina
Almeida, Maria do Ceu
Gil, Ana M.
Keywords: TRIMESTER AMNIOTIC-FLUID
GESTATIONAL-AGE
PRENATAL DISORDERS
DISEASE DIAGNOSIS
MATERNAL URINE
ORGANIC-ACIDS
BIOMARKERS
2ND
PREECLAMPSIA
SPECTROSCOPY
Issue Date: 2013
Publisher: AMER CHEMICAL SOC
Abstract: In this work, untargeted NMR metabonomics was employed to evaluate the effects of pregnancy on the metabolite composition of maternal urine, thus establishing a control excretory trajectory for healthy pregnancies. Urine was collected for independent groups of healthy nonpregnant and pregnant women (in first, second, third trimesters) and multivariate analysis performed on the corresponding NMR spectra. Models were validated through Monte Carlo Cross Validation and permutation tests and metabolite correlations measured through Statistical Total Correlation Spectroscopy. The levels of 21 metabolites were found to change significantly throughout pregnancy, with variations observed for the first time to our knowledge for choline, creatinine, 4-deoxyerythronic acid, 4-deoxythreonic acid, furoylglycine, guanidoacetate, 3-hydroxybutyrate, and lactate. Results confirmed increased aminoaciduria across pregnancy and suggested (a) a particular involvement of isoleucine and threonine in lipid oxidation/ketone body synthesis, (b) a relation of excreted choline, taurine, and guanidoacetate to methionine metabolism and urea cycle regulation, and (c) a possible relationship of furoylglycine and creatinine to pregnancy, based on a tandem study of nonfasting confounding effects. Results demonstrate the usefulness of untargeted metabonomics in finding biomarker metabolic signatures for healthy pregnancies, against which disease-related deviations may be confronted in future studies, as a base for improved diagnostics and prediction.
Peer review: yes
URI: http://hdl.handle.net/10773/19338
DOI: 10.1021/pr301022e
ISSN: 1535-3893
Publisher Version: 10.1021/pr301022e
Appears in Collections:CICECO - Artigos



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