Lipidomic signatures in patients with early-onset and late-onset Preeclampsia.

IF 3.5 3区医学 Q2 ENDOCRINOLOGY & METABOLISM

Metabolomics Pub Date : 2024-06-16 DOI:10.1007/s11306-024-02134-x

Yu Huang, Qiaoqiao Sun, Beibei Zhou, Yiqun Peng, Jingyun Li, Chunyan Li, Qing Xia, Li Meng, Chunjian Shan, Wei Long

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Abstract

Background: Preeclampsia is a pregnancy-specific clinical syndrome and can be subdivided into early-onset preeclampsia (EOPE) and late-onset preeclampsia (LOPE) according to the gestational age of delivery. Patients with preeclampsia have aberrant lipid metabolism. This study aims to compare serum lipid profiles of normal pregnant women with EOPE or LOPE and screening potential biomarkers to diagnose EOPE or LOPE.

Methods: Twenty normal pregnant controls (NC), 19 EOPE, and 19 LOPE were recruited in this study. Untargeted lipidomics based on ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to compare their serum lipid profiles.

Results: The lipid metabolism profiles significantly differ among the NC, EOPE, and LOPE. Compared to the NC, there were 256 and 275 distinct lipids in the EOPE and LOPE, respectively. Furthermore, there were 42 different lipids between the LOPE and EOPE, of which eight were significantly associated with fetal birth weight and maternal urine protein. The five lipids that both differed in the EOPE and LOPE were DGTS (16:3/16:3), LPC (20:3), LPC (22:6), LPE (22:6), PC (18:5e/4:0), and a combination of them were a potential biomarker for predicting EOPE or LOPE. The receiver operating characteristic analysis revealed that the diagnostic power of the combination for distinguishing the EOPE from the NC and for distinguishing the LOPE from the NC can reach 1.000 and 0.992, respectively. The association between the lipid modules and clinical characteristics of EOPE and LOPE was investigated by the weighted gene co-expression network analysis (WGCNA). The results demonstrated that the main different metabolism pathway between the EOPE and LOPE was enriched in glycerophospholipid metabolism.

Conclusions: Lipid metabolism disorders may be a potential mechanism of the pathogenesis of preeclampsia. Lipid metabolites have the potential to serve as biomarkers in patients with EOPE or LOPE. Furthermore, lipid metabolites correlate with clinical severity indicators for patients with EOPE and LOPE, including fetal birth weight and maternal urine protein levels.

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早发型和晚发型子痫前期患者的脂质体特征。

背景：子痫前期是一种妊娠期特有的临床综合征，可根据胎龄细分为早发性子痫前期（EOPE）和晚发性子痫前期（LOPE）。子痫前期患者的脂质代谢异常。本研究旨在比较正常孕妇与 EOPE 或 LOPE 的血清脂质谱，并筛选诊断 EOPE 或 LOPE 的潜在生物标志物：本研究招募了20名正常孕妇对照组（NC）、19名EOPE和19名LOPE。采用基于超高效液相色谱-串联质谱联用技术（UPLC-MS/MS）的非靶向脂质组学方法比较他们的血清脂质谱：结果：NC、EOPE和LOPE的血脂代谢谱存在明显差异。与 NC 相比，EOPE 和 LOPE 中分别有 256 和 275 种不同的脂质。此外，LOPE 和 EOPE 中有 42 种不同的脂类，其中 8 种与胎儿出生体重和母体尿蛋白有显著相关性。在EOPE和LOPE中均存在差异的五种血脂是DGTS（16:3/16:3）、LPC（20:3）、LPC（22:6）、LPE（22:6）、PC（18:5e/4:0），它们的组合是预测EOPE或LOPE的潜在生物标志物。接受者操作特征分析表明，这些组合在区分EOPE和NC以及区分LOPE和NC方面的诊断能力分别可达1.000和0.992。通过加权基因共表达网络分析（WGCNA）研究了脂质模块与 EOPE 和 LOPE 临床特征之间的关联。结果表明，EOPE和LOPE的主要不同代谢途径富含甘油磷脂代谢：结论：脂代谢紊乱可能是子痫前期发病的潜在机制之一。脂质代谢物有可能成为EOPE或LOPE患者的生物标志物。此外，脂质代谢物与EOPE和LOPE患者的临床严重程度指标相关，包括胎儿出生体重和母体尿蛋白水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Metabolomics 医学-内分泌学与代谢

CiteScore

6.60

自引率

2.80%

发文量

审稿时长

2 months

期刊介绍： Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.