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Developing potential biomarkers for preeclampsia: Why is the current strategy failing?
1Institute of Cell Biology, Histology and Embryology, Medical University of Graz, Austria.
Despite progress in identifying preeclampsia biomarkers, a lack of effective preventive therapies persists. Current research often focuses on early subtypes, neglecting broader applications for improved pregnancy care.
Area of Science:
- Obstetrics and Gynecology
- Biomarker Discovery
- Maternal-Fetal Medicine
Background:
- Significant advancements in identifying preeclampsia biomarkers and screening strategies have occurred over the last decade.
- Numerous biochemical and biophysical markers, combined with demographic and clinical data, have been investigated for preeclampsia risk stratification.
- Despite these efforts, a universally accepted preventive therapy for preeclampsia remains elusive.
Purpose of the Study:
- To review the progress in preeclampsia biomarker identification and screening strategies.
- To discuss the limitations of current predictive biomarkers, particularly for early-onset preeclampsia.
- To explore the reasons behind the failure to translate predictive biomarker research into effective preventive therapies.
Main Methods:
- Review of existing studies on predictive biomarkers for preeclampsia.
- Analysis of biochemical markers (e.g., soluble endoglin, PP13, PlGF, VEGF, sVEGF-R1) and their performance.
- Discussion of demographic and multivariate algorithms used in risk stratification.
Main Results:
- While numerous markers have been identified, many studies still focus on single markers for early preeclampsia subtypes (approx. 20% of cases).
- The combination of markers and algorithms has not yet led to widely adopted preventive strategies.
- Pregnant women with preeclampsia still lack commonly accepted preventive therapies.
Conclusions:
- Current predictive biomarker research for preeclampsia has not yet yielded effective preventive treatments.
- The focus on early subtypes and single markers may limit the clinical utility of identified biomarkers.
- Further research and validation through large-scale randomized studies are needed to bridge the gap between prediction and prevention.
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