School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, China.
Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, China.
Mol Omics. 2022 Jul 11;18(6):545-554. doi: 10.1039/d2mo00083k.
Gestational diabetes mellitus (GDM) is always accompanied by lipid disorders. The placenta serves as a center for lipid synthesis and transport and plays a critical role in establishing GDM. Thus, the changes in the type and content of lipids in the placenta may contribute to the development of GDM. Here, we performed an untargeted lipidomic analysis to profile the alterations of lipids in the placenta induced by GDM. Principal component analysis (PCA) was used to reduce the dimensionality of lipid data, and orthogonal projections to latent structures-discriminate analysis (OPLS-DA) was launched to show the differences in the lipid profile between the GDM group and normal controls. Additional multivariate data processing was carried out, including classification, pathway analysis and correlation analysis between dysregulated lipids and maternal blood glucose levels. We finally identified 1202 lipids in positive mode and 924 lipids in negative mode, of which 63 lipids were strongly associated with GDM. Notably, most dysregulated lipids were clustered in two major subtypes: glycerophospholipids and glycerolipids. Consistently, a significant down-regulation of glycerophospholipid metabolism was observed from pathway analysis. In addition, we found that SHexCer(d50:1), TAG(15:0/20:6/20:6) and PE(18:1e/21:2) were positively correlated with blood glucose levels, while PC(12:0/22:3), PC(22:4e/18:5) and PE(18:1e/26:4) showed negative correlations. Combining these lipids with fasting blood glucose showed high accuracy in the discrimination of women with GDM. In general, we explored the placental lipidomic abnormalities induced by GDM, and these findings may help us understand the pathological mechanisms of GDM.
妊娠期糖尿病(GDM)常伴有脂质代谢紊乱。胎盘作为脂质合成和转运的中心,在 GDM 的发生中起着关键作用。因此,胎盘内脂质的种类和含量的变化可能有助于 GDM 的发生。在这里,我们进行了非靶向脂质组学分析,以描绘 GDM 诱导的胎盘脂质变化。主成分分析(PCA)用于降低脂质数据的维数,正交投影到潜在结构判别分析(OPLS-DA)用于显示 GDM 组与正常对照组之间的脂质谱差异。进行了额外的多变量数据分析,包括分类、途径分析以及失调脂质与母体血糖水平之间的相关性分析。我们最终在正模式下鉴定出 1202 种脂质,在负模式下鉴定出 924 种脂质,其中 63 种脂质与 GDM 密切相关。值得注意的是,大多数失调脂质聚集在两个主要亚型中:甘油磷脂和甘油酯。从途径分析来看,甘油磷脂代谢明显下调。此外,我们发现 SHexCer(d50:1)、TAG(15:0/20:6/20:6)和 PE(18:1e/21:2)与血糖水平呈正相关,而 PC(12:0/22:3)、PC(22:4e/18:5)和 PE(18:1e/26:4)呈负相关。将这些脂质与空腹血糖结合使用,可以在区分 GDM 女性方面具有较高的准确性。总之,我们探讨了 GDM 引起的胎盘脂质组学异常,这些发现可能有助于我们理解 GDM 的病理机制。