Zhan Yaqiong, Wang Jiali, He Xiaoying, Huang Mingzhu, Yang Xi, He Lingjuan, Qiu Yunqing, Lou Yan
State Key Laboratory for Diagnosis and Treatment of Infectious Disease, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China.
Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China.
Clin Chim Acta. 2021 Jun;517:139-148. doi: 10.1016/j.cca.2021.02.023. Epub 2021 Mar 9.
Gestational diabetes mellitus (GDM) is a pathological condition of glucose intolerance associated with adverse pregnancy outcomes and increased risk of developing maternal type 2 diabetes later in life. Metabolomics is finding increasing use in the study of GDM. To date, GDM-specific metabolomic changes have not been completely elucidated.
In this pilot study, metabolomics fingerprinting data, obtained by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC/Q-TOF-MS), of 54 healthy pregnant women and 49 patients with GDM at the second and third gestational trimesters were analyzed. Multilevel statistical methods were used to process complex metabolomic data from the retrospective cohorts.
Using univariate analysis (p < 0.05), 41 metabolites were identified as having the most significant differences between these two groups. Lipid metabolites, particularly glycerophospholipids, were the most prevalent class of altered compounds. In addition, metabolites with previously unknown connection to GDM - such as monoacylglycerol, dihydrobiopterin, and 13S-hydroxyoctadecadienoic acid - were identified with strong discriminative power. The main metabolic pathways affected by GDM included glycerophospholipid metabolism, linoleic acid metabolism, and D-arginine and D-ornithine metabolism.
Our data provide a comprehensive overview of metabolite changes at different stages of pregnancy, which offers further insights into the pathogenesis of GDM.
妊娠期糖尿病（GDM）是一种糖耐量异常的病理状态，与不良妊娠结局相关，且增加了孕妇日后患2型糖尿病的风险。代谢组学在GDM研究中的应用越来越广泛。迄今为止，GDM特异性的代谢组学变化尚未完全阐明。
在这项初步研究中，分析了通过超高效液相色谱四极杆飞行时间质谱（UHPLC/Q-TOF-MS）获得的54名健康孕妇和49名GDM患者在妊娠中期和晚期的代谢组学指纹数据。采用多级统计方法处理来自回顾性队列的复杂代谢组学数据。
通过单变量分析（p < 0.05），确定了41种代谢物在这两组之间存在最显著差异。脂质代谢物，尤其是甘油磷脂，是最主要的一类变化化合物。此外，还鉴定出了与GDM此前未知关联的代谢物，如单酰甘油、二氢生物蝶呤和13S-羟基十八碳二烯酸，它们具有很强的鉴别能力。受GDM影响的主要代谢途径包括甘油磷脂代谢、亚油酸代谢以及D-精氨酸和D-鸟氨酸代谢。
我们的数据全面概述了妊娠不同阶段的代谢物变化，为深入了解GDM的发病机制提供了进一步的见解。
