The impact of prenatal disorders on the metabolic profile of 2nd trimester amniotic f

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The impact of prenatal disorders on the metabolic profile of 2nd trimester amniotic f

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09-22-2010, 05:27 AM

nmrlearner

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The impact of prenatal disorders on the metabolic profile of 2nd trimester amniotic f

THE IMPACT OF PRENATAL DISORDERS ON THE METABOLIC PROFILE OF 2ND TRIMESTER AMNIOTIC FLUID: A NUCLEAR MAGNETIC RESONANCE (NMR) METABONOMIC STUDY.

Related Articles THE IMPACT OF PRENATAL DISORDERS ON THE METABOLIC PROFILE OF 2ND TRIMESTER AMNIOTIC FLUID: A NUCLEAR MAGNETIC RESONANCE (NMR) METABONOMIC STUDY.

J Proteome Res. 2010 Sep 17;

Authors: GraÃ§a G, Duarte IF, Barros AS, Goodfellow BJ, Diaz S, Pinto J, Carreira I, Galhano E, Pita C, Gil AM

This paper describes a metabonomic study of prenatal disorders using Nuclear Magnetic Resonance (NMR) spectroscopy of amniotic fluid (AF) collected in the 2nd trimester of pregnancy, in order to search for metabolite markers of foetal malformations, pre-diagnostic gestational diabetes (GD), preterm delivery (PTD), early rupture of membranes (PROM) and chromossomopathies. Foetal malformations were found to have the highest impact on AF metabolite composition, enabling statistical validation to be achieved by several multivariate analytical tools. Results confirmed previous indications that malformed foetuses suffer altered energy metabolism and kidney underdevelopment. Newly found changes (namely in ï?¡-oxoisovalerate, creatinine, formate, isoleucine, serine, threonine) suggest possible additional effects on protein and nucleotide sugar biosynthesis. Pre-diagnostic GD subjects showed an average increase in glucose and small decreases in several amino acids along with acetate, formate, creatinine and glycerophosphocholine. Small metabolite changes were also observed in the AF of subjects eventually undergoing PTD and PROM, whereas no relevant changes were found for chromossomopathies (for which a low number of samples was considered). The potential value of these results for biochemical insight and prediction of prenatal disorders is discussed, as well as their limitations regarding number of samples and overlap of different disorders.

PMID: 20849080 [PubMed - as supplied by publisher]

Source: PubMed

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