Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients

Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients

Abstract Preeclampsia (PE) is a serious pregnancy complication that contributes to maternal and perinatal morbidity and mortality. Understanding its pathogenesis and revealing predictive biomarkers are essential for guiding treatment decisions. In order to explore the global changes of serum metabol...

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Bibliographic Details
Main Authors: Yan Cao, Lanlan Meng, Yifei Wang, Shenglong Zhao, Yuanyuan Zheng, Rui Ran, Jie Du, Hongqiang Wu, Jiaqi Han, Zhengwen Xu, Yifan Lu, Lin Liu, Lu Chen, Jing Wang, Youran Li, Yanhong Zhai, Zhi Sun, Zheng Cao
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Preeclampsia
Serum metabolomic study
Predictive biomarkers
Altered metabolic pathways
Machine learning algorithms
Online Access:https://doi.org/10.1038/s41598-025-87905-9
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