References
- Cheng WL, Hsiao CH, Tseng HW, et al. Noninvasive prenatal diagnosis. Taiwan J Obstet Gynecol. 2015;54(4):343–349.
- Marcinkiewicz-Siemion M, Ciborowski M, Kretowski A, et al. Metabolomics - A wide-open door to personalized treatment in chronic heart failure? Int J Cardiol. 2016;219:156–163.
- Mao X, Chen X, Chen C, et al. Metabolomics in gestational diabetes. Clin Chim Acta. 2017;475:116–127.
- Kelly RS, Giorgio RT, Chawes BL, et al. Applications of metabolomics in the study and management of preeclampsia: a review of the literature. Metabolomics. 2017;13(7):86.
- Troisi J, Sarno L, Martinelli P, et al. A metabolomics-based approach for non-invasive diagnosis of chromosomal anomalies. 2017.
- Kagan KO, Sonek J, Wagner P, et al. Principles of first trimester screening in the age of non-invasive prenatal diagnosis: screening for chromosomal abnormalities. Arch Gynecol Obstet. 2017;296(4):645–651.
- Wald NJ. Prenatal reflex DNA screening for trisomy 21, 18 and 13. Expert Rev Mol Diagn. 2018;18(5):399–401.
- Bahado-Singh RO, Akolekar R, Mandal R, et al. Metabolomic analysis for first-trimester Down syndrome prediction. Am J Obstet Gynecol. 2013;208(5):371.e371–378.
- Bahado-Singh RO, Akolekar R, Chelliah A, et al. Metabolomic analysis for first-trimester trisomy 18 detection. Am J Obstet Gynecol. 2013;209(1):65.e61–69.
- Pinto J, Almeida LM, Martins AS, et al. Impact of fetal chromosomal disorders on maternal blood metabolome: toward new biomarkers? Am J Obstet Gynecol. 2015;213(6):841.e841–841.e815.
- Diaz SO, Barros AS, Goodfellow BJ, et al. Second trimester maternal urine for the diagnosis of trisomy 21 and prediction of poor pregnancy outcomes. J Proteome Res. 2013;12(6):2946–2957.
- Trivedi DK, Iles RK. Shotgun metabolomic profiles in maternal urine identify potential mass spectral markers of abnormal fetal biochemistry - dihydrouracil and progesterone in the metabolism of Down syndrome. Biomed Chromatogr. 2015;29(8):1173–1183.
- Conde-Agudelo A, Romero R, Da Fonseca E, et al. Vaginal progesterone is as effective as cervical cerclage to prevent preterm birth in women with a singleton gestation, previous spontaneous preterm birth, and a short cervix: updated indirect comparison meta-analysis. Am J Obstet Gynecol. 2018;219(1):10-25.
- Auray-Blais C, Raiche E, Gagnon R, et al. Metabolomics and preterm birth: what biomarkers in cervicovaginal secretions are predictive of high-risk pregnant women? International Journal of Mass Spectrometry. 2011;307(1–3):33–38.
- Baraldi E, Giordano G, Stocchero M, et al. Untargeted metabolomic analysis of amniotic fluid in the prediction of preterm delivery and bronchopulmonary dysplasia. PLoS One. 2016;11(10):e0164211.
- Gervasi MT, Romero R, Bracalente G, et al. Midtrimester amniotic fluid concentrations of interleukin-6 and interferon-gamma-inducible protein-10: evidence for heterogeneity of intra-amniotic inflammation and associations with spontaneous early (<32 weeks) and late (>32 weeks) preterm delivery. J Perinat Med. 2012;40(4):329–343.
- Virgiliou C, Gika HG, Witting M, et al. Amniotic fluid and maternal serum metabolic signatures in the second trimester associated with preterm delivery. J Proteome Res. 2017;16(2):898–910.
- Romero R, Mazaki-Tovi S, Vaisbuch E, et al. Metabolomics in premature labor: a novel approach to identify patients at risk for preterm delivery. J Matern Fetal Neonatal Med. 2010;23(12):1344–1359.
- Menon R, Jones J, Gunst PR, et al. Amniotic fluid metabolomic analysis in spontaneous preterm birth. Reprod Sci. 2014;21(6):791–803.
- Graca G, Duarte IF, Barros AS, et al. Impact of prenatal disorders on the metabolic profile of second trimester amniotic fluid: a nuclear magnetic resonance metabonomic study. J Proteome Res. 2010;9(11):6016–6024.
- Graca G, Goodfellow BJ, Barros AS, et al. UPLC-MS metabolic profiling of second trimester amniotic fluid and maternal urine and comparison with NMR spectral profiling for the identification of pregnancy disorder biomarkers. Molecular BioSystems. 2012;8(4):1243–1254.
- Lizewska B, Teul J, Kuc P, et al. Maternal plasma metabolomic profiles in spontaneous preterm birth: preliminary results. Mediators Inflamm. 2018;9362820:2018.
- Tea I, Le Gall G, Küster A, et al. 1H-NMR-based metabolic profiling of maternal and umbilical cord blood indicates altered materno-foetal nutrient exchange in preterm infants. PLoS One. 2012;7(1):e29947.
- Bravo-Valenzuela NJ, Peixoto AB, Araujo Júnior E. Prenatal diagnosis of congenital heart disease: a review of current knowledge. Indian Heart J. 2018;70(1):150–164.
- Bahado-Singh RO, Ertl R, Mandal R, et al. Metabolomic prediction of fetal congenital heart defect in the first trimester. Am J Obstet Gynecol. 2014;211(3):240.e241–240.e214.
- Chi Y, Pei L, Chen G, et al. Metabonomic profiling of human placentas reveals different metabolic patterns among subtypes of neural tube defects. J Proteome Res. 2014;13(2):934–945.
- Groenen PM, Engelke UF, Wevers RA, et al. High-resolution 1H NMR spectroscopy of amniotic fluids from spina bifida fetuses and controls. Eur J Obstet Gynecol Reprod Biol. 2004;112(1):16–23.
- Zheng X, Su M, Pei L, et al. Metabolic signature of pregnant women with neural tube defects in offspring. J Proteome Res. 2011;10(10):4845–4854.
- Fattuoni C, Pietrasanta C, Pugni L, et al. Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study. PLoS One. 2017;12(12):e0189120.
- Dudzik D, Revello R, Barbas C, et al. LC-MS-based metabolomics identification of novel biomarkers of chorioamnionitis and its associated perinatal neurological damage. J Proteome Res. 2015;14(3):1432–1444.
- Ciborowski M, Zbucka-Kretowska M, Bomba-Opon D, et al. Potential first trimester metabolomic biomarkers of abnormal birth weight in healthy pregnancies. Prenat Diagn. 2014;34(9):870–877.
- Alexandre-Gouabau MC, Courant F, Moyon T, et al. Maternal and cord blood LC-HRMS metabolomics reveal alterations in energy and polyamine metabolism, and oxidative stress in very-low birth weight infants. J Proteome Res. 2013;12(6):2764–2778.
- Lindsay KL, Hellmuth C, Uhl O, et al. Longitudinal metabolomic profiling of amino acids and lipids across healthy pregnancy. PLOS ONE. 2016;10(12):e0145794.
- Retnakaran R, Kramer CK, Ye C, et al. Fetal sex and maternal risk of gestational diabetes mellitus: the impact of having a boy. Diabetes Care. 2015;38(5):844.
- Poggi SH, Spong CY, Ghidini A, et al. Gender differences in amniotic fluid cytokine levels. The Journal of Maternal-Fetal & Neonatal Medicine. 2004;15(6):367–371.
- Brunius C, Shi L, Landberg R. Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction. Metabolomics. 2016;12(11):173.