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Author Spotlight: Modeling an Aspect of Preeclampsia in Female Mice Using Hypoxic Human Placenta-Derived Small Extracellular Vesicles
Published on: January 26, 2024
Clinical tools and biomarkers to predict preeclampsia
Teresa M MacDonald1, Susan P Walker1, Natalie J Hannan2
1Department of Obstetrics and Gynaecology, Mercy Hospital for Women, University of Melbourne. Heidelberg, Victoria, Australia; Mercy Perinatal, Mercy Hospital for Women, Heidelberg, Victoria, Australia.
Preeclampsia prediction needs better tests. Current methods for early diagnosis are limited, especially for term preeclampsia, driving research into novel biomarkers.
Area of Science:
- Obstetrics and Gynecology
- Maternal-Fetal Medicine
- Biomarker Research
Background:
- Preeclampsia is a major global cause of maternal and perinatal mortality.
- Existing predictive tests, like first-trimester screening, have limited utility, particularly for term preeclampsia.
- Current biomarkers (sFlt-1, placental growth factor) offer good exclusion but modest sensitivity.
Purpose of the Study:
- To highlight the clinical need for effective preeclampsia prediction tests.
- To review existing diagnostic and screening options for preeclampsia.
- To summarize current research on novel biomarkers for improved preeclampsia prediction.
Main Methods:
- Literature review of preeclampsia screening and biomarker research.
- Analysis of the clinical utility of current predictive algorithms and biomarkers.
- Synthesis of findings from studies investigating novel biomarkers.
Main Results:
- Limited options exist for effective preeclampsia prediction, especially for term disease.
- First-trimester screening is effective for preterm preeclampsia but not term disease.
- Novel biomarkers are being investigated from various organs implicated in preeclampsia pathogenesis.
Conclusions:
- An effective predictive test for preeclampsia is clinically imperative.
- Existing biomarkers have limitations in sensitivity for widespread prediction.
- Ongoing research focuses on identifying novel biomarkers to improve early diagnosis and management.
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