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Population study | Gestational age at examination | Metabolomic analysis | Main results | Significance/take-home messages | Reference | Author, year |
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48 GDM cases versus 23 controls | Third trimester | MS | Increased urinary excretion of P-IPG, positive correlation with blood glucose | Metabolomic identification of P-IPG is a potential marker of insulin resistance, may predict fetal growth alterations in GDM patients | [33] |
Scioscia et al., 2007 |
|
9 PE cases versus 84 controls | First trimester | Elisa-based assay | Rapid raise of P-IPG (sensitivity and specificity of 88.9% and 62.7%, resp.) | Metabolomics by multiple assessment of samples might predict preeclampsia | [32] |
Paine et al., 2010 |
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3083 pregnancies positive to the screening of Smith-Lemli-Opitz syndrome | Second trimester | GC/MS | 16α-OH-DHEA, urine total estriol. Fetal steroid sulfatase deficiency 98% detection rate, 95% CI 92–99 | Metabolomics analysis of Maternal urine steroids is effective in detecting STSD. Possible use for diagnosing ADHD and CGDS (common in association with STSD) | [31] |
Marcos et al., 2009 |
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75 pregnancies (13 healthy) | | | | Potential of the tandem use of MS and NMR for metabolomics studies of urine and amniotic fluid in pregnant women | | |
13 fetal malformations | | | Hippurate, amino acids | | |
20 predisposition to GDM | Second trimester | UPLC-MS NMR | No relevant changes | [30] |
Graça et al., 2012 |
6 preterm delivery | | | Methionine, phenylalanine, hystidine, hexose (possibly glucose) | | |
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26 preterm FGR versus 30 preterm appropriate for gestational age | Neonates | 1H NMR | Myoinositol, sarcosine, creatine, and creatinine | Metabolomics might identify FGR and contribute to the clinical management of FGR neonates | [34] |
Dessì et al., 2011 |
|