Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.
Forschergruppe Diabetes e.V., 85764 Neuherberg, Germany.
Int J Mol Sci. 2020 Dec 17;21(24):9647. doi: 10.3390/ijms21249647.
Shared metabolomic patterns at delivery have been suggested to underlie the mother-to-child transmission of adverse metabolic health. This study aimed to investigate whether mothers with gestational diabetes mellitus (GDM) and their offspring show similar metabolomic patterns several years postpartum. Targeted metabolomics (including 137 metabolites) was performed in plasma samples obtained during an oral glucose tolerance test from 48 mothers with GDM and their offspring at a cross-sectional study visit 8 years after delivery. Partial Pearson's correlations between the area under the curve (AUC) of maternal and offspring metabolites were calculated, yielding so-called Gaussian graphical models. Spearman's correlations were applied to investigate correlations of body mass index (BMI), Matsuda insulin sensitivity index (ISI-M), dietary intake, and physical activity between generations, and correlations of metabolite AUCs with lifestyle variables. This study revealed that BMI, ISI-M, and the AUC of six metabolites (carnitine, taurine, proline, SM(-OH) C14:1, creatinine, and PC ae C34:3) were significantly correlated between mothers and offspring several years postpartum. Intergenerational metabolite correlations were independent of shared BMI, ISI-M, age, sex, and all other metabolites. Furthermore, creatinine was correlated with physical activity in mothers. This study suggests that there is long-term metabolic programming in the offspring of mothers with GDM and informs us about targets that could be addressed by future intervention studies.
已有研究表明,分娩时的共享代谢模式是导致不良代谢健康从母亲向孩子传播的基础。本研究旨在调查患有妊娠期糖尿病(GDM)的母亲及其后代在产后多年是否表现出相似的代谢模式。在产后 8 年的横断面研究访问中,对 48 名 GDM 母亲及其后代进行口服葡萄糖耐量试验时获得的血浆样本进行靶向代谢组学(包括 137 种代谢物)分析,计算得出所谓的高斯图形模型。计算了母亲和后代代谢物曲线下面积(AUC)之间的部分 Pearson 相关系数,得出了所谓的高斯图形模型。应用 Spearman 相关系数来研究两代之间体重指数(BMI)、Matsuda 胰岛素敏感性指数(ISI-M)、饮食摄入和体力活动之间的相关性,以及代谢物 AUC 与生活方式变量之间的相关性。本研究表明,产后多年,母亲和后代的 BMI、ISI-M 和六种代谢物(肉碱、牛磺酸、脯氨酸、SM(-OH) C14:1、肌酐和 PC ae C34:3)的 AUC 存在显著相关性。代际间的代谢物相关性独立于共享的 BMI、ISI-M、年龄、性别和所有其他代谢物。此外,母亲的肌酐与体力活动有关。本研究表明,GDM 母亲的后代存在长期代谢编程,并为我们提供了未来干预研究可以针对的目标。