| Title: | Lipidomic and transcriptomic profiling reveal alterations in the coexistence of gestational diabetes mellitus and preeclampsia impacting maternal and neonatal outcomes |
| Journal: | Scientific Reports |
| Published: | 25 Jul 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40715462/ |
| DOI: | https://doi.org/10.1038/s41598-025-12077-5 |
Publication 17062
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Abstract
Gestational diabetes mellitus (GDM) and preeclampsia (PE) are common pregnancy complications, with the rising incidence of GDM and the pronounced heterogeneity of PE leading to an increased prevalence of their coexistence, presenting a unique and complex clinical condition. However, the disease characteristics and maternal-neonatal outcomes of this comorbidity remain largely unknown. In this study, we collected peripheral blood samples from 42 pregnant women, including pregnant controls without complications (Control, n = 10), GDM (n = 12), PE (n = 10), and those with coexistence of GDM and PE (PG, n = 10), as well as partial neonatal cord blood samples. Through integrated lipidomic and transcriptomic analyses, we identified distinct lipid and gene expression features associated with PG state and explored their correlations with clinical maternal characteristics and neonatal outcomes. Our findings indicate that PE and PG groups exhibit more pronounced lipidomic alterations, which are associated with adverse neonatal outcomes, while GDM and PG groups show more significant transcriptomic changes related to maternal neuronal and immune dysfunction, potentially increasing the risk of postpartum depression (PD). The elevated risk of PD was further supported by independent analyses of the UK Biobank and FinnGen cohorts. Despite the limitation of a modest sample size, the study provides evidence that subclinical alterations in maternal peripheral blood lipidomic and transcriptomic profiles, along with aberrations in cord blood gas (CBG) parameters, may exert adverse effects on both maternal and neonatal health. These findings highlight the need for further mechanistic and longitudinal investigations to elucidate the underlying pathophysiological processes.</p>
14 Keywords
- Adult
- Case-Control Studies
- Diabetes, Gestational
- Female
- Fetal Blood
- Gene Expression Profiling
- Humans
- Infant, Newborn
- Lipidomics
- Lipids
- Pre-Eclampsia
- Pregnancy
- Pregnancy Outcome
- Transcriptome
12 Authors
- Chenxiao Zhang
- Yanli Huang
- Xixian Mai
- Lu Liu
- Yan Li
- Fei Zheng
- Judan Cao
- Chen Zou
- Changshan Wang
- Jinjun Ran
- Hui Zhang
- Xiaonan Wang
1 Application
| Application ID | Title |
|---|---|
| 99001 | Gene-environment interaction analysis on age-related diseases |
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