Z Geburtshilfe Neonatol 2019; 223(05): 297-303
DOI: 10.1055/a-0877-7869
Original Article
© Georg Thieme Verlag KG Stuttgart · New York

Metabolic Infrastructure of Pregnant Women With Trisomy 21 Fetuses; Metabolomic Analysis

Emirhan Nemutlu
1   Hacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, Turkey
,
Gokcen Orgul
2   Hacettepe University Faculty of Medicine, Department of Obstetrics and Gynecology, Division of Perinatology, Ankara, Turkey
,
Tuba Recber
1   Hacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, Turkey
,
Emine Aydin
2   Hacettepe University Faculty of Medicine, Department of Obstetrics and Gynecology, Division of Perinatology, Ankara, Turkey
,
Ece Ozkan
1   Hacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, Turkey
,
Mert Turgal
2   Hacettepe University Faculty of Medicine, Department of Obstetrics and Gynecology, Division of Perinatology, Ankara, Turkey
,
Mehmet Alikasifoglu
3   Hacettepe University Faculty of Medicine, Department of Medical Genetics, Ankara, Turkey
,
Sedef Kir
1   Hacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, Turkey
,
Mehmet Sinan Beksac
2   Hacettepe University Faculty of Medicine, Department of Obstetrics and Gynecology, Division of Perinatology, Ankara, Turkey
› Author Affiliations
Further Information

Publication History

received 14 January 2019

accepted 08 March 2019

Publication Date:
27 May 2019 (online)

Abstract

We aimed to configure impaired/altered metabolomic profiles of pregnant women carrying Down syndrome (DS) fetuses. The study involved 21 and 32 pregnant women with DS and euploid fetuses, respectively, as determined by prenatal screening and diagnosis as part of an antenatal care program. Metabolomic analyses were carried out using gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-qTOF-MS) methods. A total of 95 metabolites were identified. GC-MS analysis indicated that levels of 2-hydroxybutyric acid, benzoic acid, nonanoic acid, 3-hydroxybutyric acid, and 2-ketoisocaproic acid were increased in the DS group, where beta-alanine, threonic acid, oxalic acid, alpha-tocopherol, uracil, 2-piperidone, and creatinine were decreased. However, LC-qTOF-MS analysis showed that lipid-related metabolites were decreased in women carrying DS fetuses, whereas creatine, N4-phosphoagmatine, citrate, 2,5-dioxopentanoate, 2-furoate, pyruvate, and fructose levels were increased. Pathway analysis was also performed using metabolites whose levels were significantly altered (p<0.05) between the groups, and the findings indicated that the biosynthesis pathways of aminoacyl-tRNA and “valine-leucine-isoleucine”, and metabolism pathways of “glycine-serine-threonine”, nitrogen, “alanine-aspartate-glutamate”, propanoate, glycerophospholipid, cysteine, methionine, and phenylalanine were significantly altered. Our findings indicate a special type of metabolic status/syndrome in pregnant women with Down syndrome fetuses. It could be speculated that altered metabolic status might influence both gametogenesis and embryogenesis. Down syndrome is a complex genetic disorder that is important to detect prenatally, but may also be prevented by taking necessary precautions prior to pregnancy.

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Supplementary Material

 
  • References

  • 1 Lamb N, Sherman S, Hassold T. Effect of meiotic recombination on the production of aneuploid gametes in humans. Cytogenet Genome Res 2005; 111: 250-255
  • 2 Antonarakis SE, Petersen MB, McInnis MG. et al. The meiotic stage of nondisjunction in trisomy 21: Determination by using DNA polymorphisms. Am J Hum Genet 1992; 50: 544
  • 3 Bahado-Singh RO, Akolekar R, Mandal R. et al. Metabolomic analysis for first-trimester Down syndrome prediction. Am J Obstet Gynecol 2013; 208: 371
  • 4 Orešič M. Metabolomics, a novel tool for studies of nutrition, metabolism and lipid dysfunction. Nutr Metab Cardiovasc Dis 2009; 19: 816-824
  • 5 Murphy EJ, Schapiro MB, Rapoport SI. et al. Phospholipid composition and levels are altered in Down syndrome brain. Brain Res 2000; 867: 9-18
  • 6 Nemutlu E, Zhang S, Xu YZ. et al. Cardiac resynchronization therapy induces adaptive metabolic transitions in the metabolomic profile of heart failure. J Card Fail 2015; 21: 460-469
  • 7 Xia J, Mandal R, Sinelnikov IV. et al. MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis. Nucleic Acids Res 2012; 40: 127-133
  • 8 Turgal M, Yazicioglu A, Ozyuncu O. et al. Impaired DNA methylation leading to heterotrisomy. J Obstet Gynaecol 2013; 33: 904-905
  • 9 Beksac MS, Balci S, Guven ESG. et al. Complex conotruncal cardiac anomalies consecutively in three siblings from a consanguineous family possibly associated with maternal hyperhomocysteinemia. Archives of gynecology and obstetrics 2007; 276: 547-549
  • 10 Lu SC. Glutathione synthesis. Biochim Biophys Acta 2013; 1830: 3143-3153
  • 11 Locasale JW. Serine, glycine and the one-carbon cycle: Cancer metabolism in full circle. Nat Rev Cancer 2013; 13: 572-583
  • 12 Zhang Q, Ford LA, Goodman KD. et al. LC–MS/MS method for quantitation of seven biomarkers in human plasma for the assessment of insulin resistance and impaired glucose tolerance. J Chromatogr B Analyt Technol Biomed Life Sci 2016; 1038: 101-108
  • 13 Amaral AU, Leipnitz G, Fernandes CG. et al. α-Ketoisocaproic acid and leucine provoke mitochondrial bioenergetic dysfunction in rat brain. Brain Res 2010; 1324: 75-84
  • 14 Platell C, Kong SE, McCauley R. et al. Branched-chain amino acids. J Gastro Hepatol 2000; 15: 706-717
  • 15 Wikoff WR, Anfora AT, Liu J. et al. Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites. Pro Natl Acad Sci USA 2009; 106: 3698-3703
  • 16 Hodgkinson A, Zarembski P. Oxalic acid metabolism in man: A review. Calcif Tissue Res 1968; 2: 115-132
  • 17 Simpson GL, Ortwerth B. The non-oxidative degradation of ascorbic acid at physiological conditions. Biochimica et biophysica acta (BBA) - Molecular basis of disease 2000; 1501: 12-24
  • 18 Hill C, Harris RC, Kim H. et al. Influence of β-alanine supplementation on skeletal muscle carnosine concentrations and high intensity cycling capacity. Amino Acids 2007; 32: 225-233
  • 19 Singh U, Devaraj S, Jialal I. Vitamin E, oxidative stress, and inflammation. Annu Rev Nutr 2005; 25: 151-174
  • 20 Trushina E, Nemutlu E, Zhang S. et al. Defects in mitochondrial dynamics and metabolomic signatures of evolving energetic stress in mouse models of familial Alzheimerʼs disease. PloS one 2012; 7: 32737
  • 21 Akbari M, Otterlei M, Pena-Diaz J. et al. Different organization of base excision repair of uracil in DNA in nuclei and mitochondria and selective upregulation of mitochondrial uracil-DNA glycosylase after oxidative stress. Neuroscience 2007; 145: 1201-1212
  • 22 Cheng J, Chen C, Kristopher KW. et al. Identification of 2-Piperidone as a Biomarker of CYP2E1 Activity Through Metabolomic Phenotyping. Toxicol Sci 2013; 135: 37-47
  • 23 Leitch B, Shevtsova O, Reusch K. et al. Spatial learning-induced increase in agmatine levels at hippocampal CA1 synapses. Synapse 2011; 65: 146-153
  • 24 Wu G. Amino acids: metabolism, functions, and nutrition. Amino Acids 2009; 37: 1-17
  • 25 Atkinson D. Citrate and the citrate cycle in the regulation of energy metabolism. Bioch Soc Symp 1968; 27: 23-40
  • 26 Castro-Gómez P, Montero O, Fontecha J. In-depth lipidomic analysis of molecular species of triacylglycerides, diacylglycerides, glycerophospholipids, and sphingolipids of buttermilk by GC-MS/FID, HPLC-ELSD, and UPLC-QToF-MS. Int J Mol Sci 2017; 18: 605
  • 27 Christie W, Han X. Lipid Analysis. Isolation, separation, identification and lipidomic analysis. 4th ed Bridgwater, UK: Oily Press; 2010
  • 28 Ibba M, Söll D. Aminoacyl-tRNA synthesis. Annu Rev Biochem 2000; 69: 617-650
  • 29 Stitt M, Müller C, Matt P. et al. Steps towards an integrated view of nitrogen metabolism. J Exp Bot 2002; 53: 959-970
  • 30 Fonnum F. Glutamate: a neurotransmitter in mammalian brain. J Neurochem 1984; 42: 1-11
  • 31 Aydin E, Ceylan AC, Beksac MS. The relationship between methylation defects and different genetic disorders: Two case reports. Gynecol Obstet Reprod Med 2016; 22: 110-113