Potential biomarkers for late-onset and term preeclampsia: A scoping review

Author:

Han Luhao,Holland Olivia J.,Da Silva Costa Fabricio,Perkins Anthony V.

Abstract

Preeclampsia is a progressive, multisystem pregnancy disorder. According to the time of onset or delivery, preeclampsia has been subclassified into early-onset (<34 weeks) and late-onset (≥34 weeks), or preterm (<37 weeks) and term (≥37 weeks). Preterm preeclampsia can be effectively predicted at 11–13 weeks well before onset, and its incidence can be reduced by preventively using low-dose aspirin. However, late-onset and term preeclampsia are more prevalent than early forms and still lack effective predictive and preventive measures. This scoping review aims to systematically identify the evidence of predictive biomarkers reported in late-onset and term preeclampsia. This study was conducted based on the guidance of the Joanna Briggs Institute (JBI) methodology for scoping reviews. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews (PRISMA-ScR) was used to guide the study. The following databases were searched for related studies: PubMed, Web of Science, Scopus, and ProQuest. Search terms contain “preeclampsia,” “late-onset,” “term,” “biomarker,” or “marker,” and other synonyms combined as appropriate using the Boolean operators “AND” and “OR.” The search was restricted to articles published in English from 2012 to August 2022. Publications were selected if study participants were pregnant women and biomarkers were detected in maternal blood or urine samples before late-onset or term preeclampsia diagnosis. The search retrieved 4,257 records, of which 125 studies were included in the final assessment. The results demonstrate that no single molecular biomarker presents sufficient clinical sensitivity and specificity for screening late-onset and term preeclampsia. Multivariable models combining maternal risk factors with biochemical and/or biophysical markers generate higher detection rates, but they need more effective biomarkers and validation data for clinical utility. This review proposes that further research into novel biomarkers for late-onset and term preeclampsia is warranted and important to find strategies to predict this complication. Other critical factors to help identify candidate markers should be considered, such as a consensus on defining preeclampsia subtypes, optimal testing time, and sample types.

Publisher

Frontiers Media SA

Subject

Physiology (medical),Physiology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Serum β-hCG Levels in Pregnant Women with Mild and Severe Preeclampsia During the Third Trimester;Al-Rafidain Journal of Medical Sciences ( ISSN 2789-3219 );2023-12-24

2. Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data;The Latest Developments and Challenges in Biomedical Engineering;2023-09-11

3. Influential Serum Kinases (Non-sFlt-1) and Phosphatases in Preeclampsia—Systemic Review and Metanalysis;International Journal of Molecular Sciences;2023-08-16

4. Use of cell-free signals as biomarkers for early and easy prediction of preeclampsia;Frontiers in Medicine;2023-05-24

5. Screening for Preeclampsia;Down Syndrome Screening;2023

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