885
Views
0
CrossRef citations to date
0
Altmetric
Original Article

Metabolomics profiling of maternal and umbilical cord blood in normoglycemia macrosomia

, , , , , , , , , , & show all
Article: 2270761 | Received 03 Jun 2023, Accepted 09 Oct 2023, Published online: 17 Oct 2023

References

  • Akanmode AM. Macrosomia. Treasure Island (FL): StatPearls Publishing; 2022.
  • Martin JA, Hamilton BE, Osterman MJK, et al. Births: final data for 2018. Natl Vital Stat Rep. 2019;68(13):1–47.
  • Chavkin U, Wainstock T, Sheiner E, et al. Perinatal outcome of pregnancies are complicated with extreme birth weights at term. J Matern Fetal Neonatal Med. 2019;32(2):198–202. doi: 10.1080/14767058.2017.1376048.
  • Beta J, Khan N, Fiolna M, et al. Maternal and neonatal complications of fetal macrosomia: cohort study. Ultrasound Obstet Gynecol. 2019;54(3):319–325. doi: 10.1002/uog.20278.
  • Scifres CM. Short- and long-term outcomes associated with large for gestational age birth weight. Obstet Gynecol Clin North Am. 2021;48(2):325–337. doi: 10.1016/j.ogc.2021.02.005.
  • Johnsson IW, Haglund B, Ahlsson F, et al. A high birth weight is associated with increased risk of type 2 diabetes and obesity. Pediatr Obes. 2015;10(2):77–83. doi: 10.1111/ijpo.230.
  • Boney CM, Verma A, Tucker R, et al. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics. 2005;115(3):e290–e296. doi: 10.1542/peds.2004-1808.
  • Dennedy MC, Dunne F. Macrosomia: defining the problem worldwide. Lancet. 2013;381(9865):435–436. doi: 10.1016/S0140-6736(12)62090-X.
  • Jiang H, Wen Y, Hu L, et al. Serum MicroRNAs as diagnostic biomarkers for macrosomia. Reprod Sci. 2015;22(6):664–671. doi: 10.1177/1933719114561557.
  • Liu J, Liu G, Li Z. Importance of metabolomics analyses of maternal parameters and their influence on fetal growth. Exp Ther Med. 2017;14(1):467–472. doi: 10.3892/etm.2017.4517.
  • Sun H, Wang Y, Wang C, et al. Metabolic profiling of umbilical cord blood in macrosomia. Int J Obes. 2018;42(4):679–685. doi: 10.1038/ijo.2017.288.
  • Wright EL, Baker PR. Neonatal macrosomia is an interfering factor for analytes on the Colorado state newborn screen. J Clin Endocrinol Metab. 2020;105(3):e1561–e1568. doi: 10.1210/clinem/dgz183.
  • Polinski KJ, Robinson SL, Putnick DL, et al. Epigenetic gestational age and the relationship with developmental milestones in early childhood. Hum Mol Genet. 2023;32(9):1565–1574. doi: 10.1093/hmg/ddac302.
  • Xie G, Wang L, Chen T, et al. A metabolite array technology for precision medicine. Anal Chem. 2021;93(14):5709–5717. doi: 10.1021/acs.analchem.0c04686.
  • Hellmuth C, Lindsay KL, Uhl O, et al. Maternal metabolomic profile and fetal programming of offspring adiposity: identification of potentially protective lipid metabolites. Mol Nutr Food Res. 2019;63(1):e1700889. doi: 10.1002/mnfr.201700889.
  • Herrera E, Amusquivar E, López-Soldado I, et al. Maternal lipid metabolism and placental lipid transfer. Horm Res. 2006;65 Suppl 3(Suppl. 3):59–64. doi: 10.1159/000091507.
  • Vrachnis D, Antonakopoulos N, Fotiou A, et al. Is there a correlation between apelin and insulin concentrations in early second trimester amniotic fluid with fetal growth disorders? J Clin Med. 2023;12(9):3166. doi: 10.3390/jcm12093166.
  • Cinelli G, Fabrizi M, Ravà L, et al. Association between maternal and foetal erythrocyte fatty acid profiles and birth weight. Nutrients. 2018;10(4):402. doi: 10.3390/nu10040402.
  • Bowman CE, Arany Z, Wolfgang MJ. Regulation of maternal–fetal metabolic communication. Cell Mol Life Sci. 2021;78(4):1455–1486. doi: 10.1007/s00018-020-03674-w.
  • Parrettini S, Caroli A, Torlone E. Nutrition and metabolic adaptations in physiological and complicated pregnancy: focus on obesity and gestational diabetes. Front Endocrinol. 2020;11:611929. doi: 10.3389/fendo.2020.611929.
  • Basak S, Mallick R, Banerjee A, et al. Maternal supply of both arachidonic and docosahexaenoic acids is required for optimal neurodevelopment. Nutrients. 2021;13(6):2061. doi: 10.3390/nu13062061.
  • Larqué E, Demmelmair H, Gil-Sánchez A, et al. Placental transfer of fatty acids and fetal implications. Am J Clin Nutr. 2011;94(6 Suppl):1908S–1913S. doi: 10.3945/ajcn.110.001230.
  • Crawford MA, Sinclair AJ, Hall B, et al. The imperative of arachidonic acid in human reproduction. Prog Lipid Res. 2023;91:101222. doi: 10.1016/j.plipres.2023.101222.
  • Giuffrida F, Fleith M, Goyer A, et al. Human milk fatty acid composition and its association with maternal blood and adipose tissue fatty acid content in a cohort of women from Europe. Eur J Nutr. 2022;61(4):2167–2182. doi: 10.1007/s00394-021-02788-6.
  • Arjmand B, Dehghanbanadaki H, Yoosefi M, et al. Association of plasma acylcarnitines and amino acids with hypertension: a nationwide metabolomics study. PLOS One. 2023;18(1):e279835. doi: 10.1371/journal.pone.0279835.
  • Song Y, Lyu C, Li M, et al. Plasma acylcarnitines during pregnancy and neonatal anthropometry: a longitudinal study in a multiracial cohort. Metabolites. 2021;11(12):885. doi: 10.3390/metabo11120885.
  • Aguer C, Mccoin CS, Knotts TA, et al. Acylcarnitines: potential implications for skeletal muscle insulin resistance. Faseb J. 2015;29(1):336–345. doi: 10.1096/fj.14-255901.
  • Cho K, Moon JS, Kang J, et al. Combined untargeted and targeted metabolomic profiling reveals urinary biomarkers for discriminating obese from normal-weight adolescents. Pediatr Obes. 2017;12(2):93–101. doi: 10.1111/ijpo.12114.
  • Müllner E, Röhnisch HE, von Brömssen C, et al. Metabolomics analysis reveals altered metabolites in lean compared with obese adolescents and additional metabolic shifts associated with hyperinsulinaemia and insulin resistance in obese adolescents: a cross-sectional study. Metabolomics. 2021;17(1):11. doi: 10.1007/s11306-020-01759-y.
  • Koves TR, Ussher JR, Noland RC, et al. Mitochondrial overload and incomplete fatty acid oxidation contribute to skeletal muscle insulin resistance. Cell Metab. 2008;7(1):45–56. doi: 10.1016/j.cmet.2007.10.013.
  • Palacios-González B, León-Reyes G, Rivera-Paredez B, et al. Serum metabolite profile associated with sex-dependent visceral adiposity index and low bone mineral density in a mexican population. Metabolites. 2021;11(9):604. doi: 10.3390/metabo11090604.
  • Ramos-Roman MA, Sweetman L, Valdez MJ, et al. Postprandial changes in plasma acylcarnitine concentrations as markers of fatty acid flux in overweight and obesity. Metabolism. 2012;61(2):202–212. doi: 10.1016/j.metabol.2011.06.008.
  • Mccoin CS, Knotts TA, Adams SH. Acylcarnitines–old actors auditioning for new roles in metabolic physiology. Nat Rev Endocrinol. 2015;11(10):617–625. doi: 10.1038/nrendo.2015.129.
  • Holzmann M, Cnattingius S, Nordström L. Lactate production as a response to intrapartum hypoxia in the growth-restricted fetus. BJOG. 2012;119(10):1265–1269. doi: 10.1111/j.1471-0528.2012.03432.x.
  • Ma L, Huang X, Muyayalo KP, et al. Lactic acid: a novel signaling molecule in early pregnancy? Front Immunol. 2020;11:279. doi: 10.3389/fimmu.2020.00279.
  • Westgren M, Divon M, Horal M, et al. Routine measurements of umbilical artery lactate levels in the prediction of perinatal outcome. Am J Obstet Gynecol. 1995;173(5):1416–1422. doi: 10.1016/0002-9378(95)90627-4.
  • Settle P, Sibley CP, Doughty IM, et al. Placental lactate transporter activity and expression in intrauterine growth restriction. J Soc Gynecol Investig. 2006;13(5):357–363. doi: 10.1016/j.jsgi.2006.04.006.
  • Bulló M, Papandreou C, García-Gavilán J, et al. Tricarboxylic acid cycle related-metabolites and risk of atrial fibrillation and heart failure. Metabolism. 2021;125:154915. doi: 10.1016/j.metabol.2021.154915.
  • Arnold PK, Finley LWS. Regulation and function of the mammalian tricarboxylic acid cycle. J Biol Chem. 2023;299(2):102838. doi: 10.1016/j.jbc.2022.102838.
  • Lillefosse HH, Clausen MR, Yde CC, et al. Urinary loss of tricarboxylic acid cycle intermediates as revealed by metabolomics studies: an underlying mechanism to reduce lipid accretion by whey protein ingestion? J Proteome Res. 2014;13(5):2560–2570. doi: 10.1021/pr500039t.