Detection of Urinary Misfolded Proteins for Imminent Prediction of Preeclampsia in Pregnant Women With Suspected Cases: Protocol for a Prospective Noninterventional Study
Haiyang Tang, Yijia Tian, Jing Fang, Xiaoying Yuan, Minli Yao, Yujia Wang, Yan Feng, Jia Shu, Yan Ni, Ying Yu, Yuanhe Wang, Ping Liang, Xingmin Li, Xiaoxia Bai

TL;DR
This study aims to detect misfolded proteins in urine to predict preeclampsia early in pregnant women, potentially improving outcomes.
Contribution
The study introduces urine-based detection of misfolded proteins as a novel biomarker for imminent preeclampsia prediction.
Findings
Urine misfolded proteins may serve as a promising biomarker for predicting preeclampsia.
A prediction model combining misfolded proteins with other indicators may improve preeclampsia risk assessment.
Blinded testing and follow-up data will determine the clinical utility of this approach.
Abstract
Preeclampsia (PE) is one of the most common hypertensive diseases, affecting 2%-8% of all pregnancies. The high maternal and fetal mortality rates of PE are due to a lack of early identification of affected pregnant women that would have led to closer monitoring and care. Recent data suggest that misfolded proteins might be a promising biomarker for PE prediction, which can be detected in urine samples of pregnant women according to their congophilia (aggregated) characteristic. The main purpose of this trial is to evaluate the value of the urine congophilia-based detection of misfolded proteins for the imminent prediction of PE in women presenting with suspected PE. The secondary objectives are to demonstrate that the presence of urine misfolded proteins correlates with PE-related maternal or neonatal adverse outcomes, and to establish an accurate PE prediction model by combining…
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Taxonomy
TopicsPregnancy and preeclampsia studies · Gestational Diabetes Research and Management · Birth, Development, and Health
