Mid-infrared (MIR) metabolic fingerprinting of amniotic fluid: A possible avenue for early diagnosis of prenatal disorders?
authors Graca, G; Moreira, AS; Correia, AJV; Goodfellow, BJ; Barros, AS; Duarte, IF; Carreira, IM; Galhano, E; Pita, C; Almeida, MD; Gil, AM
nationality International
journal ANALYTICA CHIMICA ACTA
author keywords Amniotic fluid; Prenatal diagnostics; Preterm; Fetal malformation; Mid-infrared spectroscopy; Multivariate analysis; Statistical correlation spectroscopy; Nuclear magnetic resonance spectroscopy
keywords FETAL LUNG MATURITY; INFRARED-SPECTRA; RAMAN-SPECTROSCOPY; FTIR SPECTROSCOPY; CROSS-VALIDATION; EARLY-PREGNANCY; MATERNAL URINE; DATA SETS; PREECLAMPSIA; PREDICTION
abstract This work describes a mid-infrared (MIR) metabolic profiling study of 2nd trimester amniotic fluid in relation to selected prenatal disorders, with results focusing on fetal malformations (FM), preterm delivery (PTD) and premature rupture of membranes (PROM), the latter two conditions occurring later in pregnancy. Partial least squares-discriminant analysis (PLS-DA) models were obtained for FM and pre-PTD subject groups, supported by Monte Carlo Cross Validation (MCCV), and identified specific MIR profile changes. For pre-PROM subjects, minor changes were noted. MIR interpretation was assisted by intra(MIR/MIR) and inter- (MIR/NMR) domain statistical correlation analysis, the results unveiling possible biomarker MIR signatures for FM and pre-PTD subjects. Biofluid MIR metabolic profiling holds enticing possibilities as a low cost, easy to use, rapid method and the results presented have shown its sensitivity to clinically diagnosed conditions such as FM, and to the pre-clinical stages of PTD. Specific improvement needs are discussed, namely regarding sample numbers and experimental reproducibility. (C) 2012 Elsevier B.V. All rights reserved.
publisher ELSEVIER SCIENCE BV
issn 0003-2670
year published 2013
volume 764
beginning page 24
ending page 31
digital object identifier (doi) 10.1016/j.aca.2012.12.023
web of science category Chemistry, Analytical
subject category Chemistry
unique article identifier WOS:000315007700003

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