Development of a Urine Metabolomics Biomarker-Based Prediction Model for Preeclampsia during Early Pregnancy

Development of a Urine Metabolomics Biomarker-Based Prediction Model for Preeclampsia during Early Pregnancy

Preeclampsia (PE) is a condition that poses a significant risk of maternal mortality and multiple organ failure during pregnancy. Early prediction of PE can enable timely surveillance and interventions, such as low-dose aspirin administration. In this study, conducted at Stanford Health Care, we exa...

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Bibliographic Details
Main Authors: Yaqi Zhang, Karl G. Sylvester, Bo Jin, Ronald J. Wong, James Schilling, C. James Chou, Zhi Han, Ruben Y. Luo, Lu Tian, Subhashini Ladella, Lihong Mo, Ivana Marić, Yair J. Blumenfeld, Gary L. Darmstadt, Gary M. Shaw, David K. Stevenson, John C. Whitin, Harvey J. Cohen, Doff B. McElhinney, Xuefeng B. Ling
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Metabolites
Subjects:
early pregnancy
preeclampsia risk prediction
biomarker
urinary metabolite
LC-MS/MS
Online Access:https://www.mdpi.com/2218-1989/13/6/715

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https://www.mdpi.com/2218-1989/13/6/715

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