Impact of Prenatal Disorders on the Metabolic Profile of Second Trimester Amniotic Fluid: A Nuclear Magnetic Resonance Metabonomic Study

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Graca, G (Author) Other; Duarte, IF (Author) Other; Barros, AS (Author) Other; Goodfellow, BJ (Author) Other; Diaz, SO (Author) Other; Pinto, J (Author) Other; Carreira, IM (Author) Other; Galhano, E (Author) Other; Pita, C (Author) Other; Gil, AM (Author) Other

Journal

Title: Journal of Proteome Research

Vol. 9

Pages: 6016-6024

ISSN: 1535-3893

Publisher: American Chemical Society

Indexing

ISI Web of Knowledge - 87 Citations

Scopus - 98 Citations

Other information

Authenticus ID: P-003-1HD

DOI: 10.1021/pr100815q

Abstract (EN): This paper describes a metabonomic study of prenatal disorders using nuclear magnetic resonance (NMR) spectroscopy of amniotic fluid (AF) collected in the second trimester of pregnancy, to search for metabolite markers of fetal malformations, prediagnostic gestational diabetes (GD), preterm delivery (PTD), early rupture of membranes (PROM), and chromossomopathies. Fetal 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 fetuses seem to suffer altered energy metabolism and kidney underdevelopment. Newly found changes (namely in a-oxoisovalerate, ascorbate, creatinine, isoleucine, serine, threonine) suggest possible additional effects on protein and nucleotide sugar biosynthesis. Prediagnostic 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9