The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine

BMC Pregnancy and Childbirth

Richard Saffery¹  Jamie De Seymour²  Philip N. Baker³  Hong-bo Qi⁴  Xiao-ling He⁴  Bai-yu Luo⁴  Ting Zhang⁴  Xue Zhao⁴  Xiao-jing Hu⁴  Ting-Li Han⁴  Hua Zhang⁴  Ge Xu⁵  Zhen Zou⁵  Yin-Yin Xia⁶ 

[1] Cancer & Disease Epigenetics, Murdoch Children’s Research Institute and Department of Pediatrics, University of Melbourne;College of Health, Massey University;College of Life Sciences, University of Leicester;Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University;Institute of Life Sciences, Chongqing Medical University;School of Public Health and Management, Chongqing Medical University;

关键词: Metabolomics;    Gestational diabetes mellitus;    Pregnancy;    Advanced maternal age;   

DOI  :  10.1186/s12884-022-04416-5

来源: DOAJ

【 摘 要 】

Abstract Background Gestational diabetes mellitus (GDM) is defined as impaired glucose tolerance in pregnancy and without a history of diabetes mellitus. While there are limited metabolomic studies involving advanced maternal age in China, we aim to investigate the metabolomic profiling of plasma and urine in pregnancies complicated with GDM aged at 35–40 years at early and late gestation. Methods Twenty normal and 20 GDM pregnant participants (≥ 35 years old) were enlisted from the Complex Lipids in Mothers and Babies (CLIMB) study. Maternal plasma and urine collected at the first and third trimester were detected using gas chromatography-mass spectrometry (GC-MS). Results One hundred sixty-five metabolites and 192 metabolites were found in plasma and urine respectively. Urine metabolomic profiles were incapable to distinguish GDM from controls, in comparison, there were 14 and 39 significantly different plasma metabolites between the two groups in first and third trimester respectively. Especially, by integrating seven metabolites including cysteine, malonic acid, alanine, 11,14-eicosadienoic acid, stearic acid, arachidic acid, and 2-methyloctadecanoic acid using multivariant receiver operating characteristic models, we were capable of discriminating GDM from normal pregnancies with an area under curve of 0.928 at first trimester. Conclusion This study explores metabolomic profiles between GDM and normal pregnancies at the age of 35–40 years longitudinally. Several compounds have the potential to be biomarkers to predict GDM with advanced maternal age. Moreover, the discordant metabolome profiles between the two groups could be useful to understand the etiology of GDM with advanced maternal age.

【 授权许可】

Unknown