Department of Population Medicine and Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA.
Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA.
BMJ Open Diabetes Res Care. 2021 Mar;9(1). doi: 10.1136/bmjdrc-2020-001551.
Disruption of lipid metabolism is implicated in gestational diabetes (GDM). However, prospective studies on lipidomics and GDM risk in race/ethnically diverse populations are sparse. Here, we aimed to (1) identify lipid networks in early pregnancy to mid-pregnancy that are associated with subsequent GDM risk and (2) examine the associations of lipid networks with glycemic biomarkers to understand the underlying mechanisms.
This study included 107 GDM cases confirmed using the Carpenter and Coustan criteria and 214 non-GDM matched controls from the National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort, untargeted lipidomics data of 420 metabolites (328 annotated and 92 unannotated), and information on glycemic biomarkers in maternal plasma at visit 0 (10-14 weeks) and visit 1 (15-26 weeks). We constructed lipid networks using weighted correlation network analysis technique. We examined prospective associations of lipid networks and individual lipids with GDM risk using linear mixed effect models. Furthermore, we calculated Pearson's partial correlation for GDM-related lipid networks and individual lipids with plasma glucose, insulin, C-peptide and glycated hemoglobin at both study visits.
Lipid networks primarily characterized by elevated plasma diglycerides and short, saturated/low unsaturated triglycerides and lower plasma cholesteryl esters, sphingomyelins and phosphatidylcholines were associated with higher risk of developing GDM (false discovery rate (FDR) <0.05). Among individual lipids, 58 metabolites at visit 0 and 96 metabolites at visit 1 (40 metabolites at both time points) significantly differed between women who developed GDM and who did not (FDR <0.05). Furthermore, GDM-related lipid networks and individual lipids showed consistent correlations with maternal glycemic markers particularly in early pregnancy at visit 0.
Plasma lipid metabolites in early pregnancy both individually and interactively in distinct networks were associated with subsequent GDM risk in race/ethnically diverse US women. Future research is warranted to assess lipid metabolites as etiologic markers of GDM.
脂质代谢紊乱与妊娠期糖尿病(GDM)有关。然而,在不同种族/族裔的人群中,关于脂质组学与 GDM 风险的前瞻性研究很少。在这里,我们旨在(1)确定妊娠早期到中期与随后的 GDM 风险相关的脂质网络,(2)检查脂质网络与血糖生物标志物的关联,以了解潜在的机制。
这项研究包括 107 例 GDM 病例和 214 例非 GDM 匹配对照,来自国家儿童健康与人类发展胎儿生长研究-单胎队列,未靶向脂质组学数据为 420 种代谢物(328 种注释和 92 种未注释),以及在访问 0(10-14 周)和访问 1(15-26 周)时母亲血浆中的血糖生物标志物信息。我们使用加权相关网络分析技术构建脂质网络。我们使用线性混合效应模型检查脂质网络和个体脂质与 GDM 风险的前瞻性关联。此外,我们计算了与 GDM 相关的脂质网络和个体脂质与两次研究访问时的血浆葡萄糖、胰岛素、C 肽和糖化血红蛋白之间的皮尔逊部分相关系数。
脂质网络主要由血浆二酰甘油升高和短链、饱和/低不饱和甘油三酯以及血浆胆固醇酯、神经鞘磷脂和磷脂酰胆碱降低组成,与 GDM 风险增加相关(错误发现率(FDR)<0.05)。在个体脂质中,在访问 0 时有 58 种代谢物,在访问 1 时有 96 种代谢物(两个时间点有 40 种代谢物)在发生 GDM 的女性和未发生 GDM 的女性之间存在显著差异(FDR<0.05)。此外,GDM 相关的脂质网络和个体脂质与母亲血糖标志物,特别是在访问 0 的早期妊娠时,表现出一致的相关性。
在不同的网络中,妊娠早期的血浆脂质代谢物无论是单独的还是相互作用的,都与美国不同种族/族裔女性随后发生 GDM 的风险相关。有必要进行进一步的研究,以评估脂质代谢物作为 GDM 的病因标志物。