<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality, usually characterized by hypertension and proteinuria. Despite high incidence of preeclampsia the pathophysiological basis of preeclampsia is still not clear and there are a number of mechanisms and signaling pathways that intertwine. It is very important to develop specific and reliable predictive algorithms in order to enable early initiation of therapy due to facts that incidence of preeclampsia has upward trend and that cause adverse maternal and fetal outcome. Some of the most commonly used methods for prediction of preeclampsia include uterine artery Doppler velocimetry, determination of some microRNA, such as miR-210, and assessment of various pro-angiogenic and anti-angiogenic factors from blood. Angiogenic factors that possibly have most important role in pathogenesis of preeclampsia are vascular endothelial growth factor (VEGF) and placental growth factor (PlGF), which promote angiogenesis, and soluble fms-like tyrosine kinase-1 (sFlt1) and soluble form of endoglin (s-Eng), which exhibit anti-angiogenic properties. Aggravating circumstance is that preeclampsia has heterogeneous origin, and due to this fact, the value of individual markers can vary significantly. There is a constant tendency for creating comprehensive algorithm for prediction of preeclampsia which would be sufficiently specific and sensitive, and in the same time cheap and available. In that sense, new clinical studies are needed to show the most effective combination of parameters in the predeclampsia prediction.</p></abstract>

Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality, usually characterized by hypertension and proteinuria. Despite high incidence of preeclampsia the pathophysiological basis of preeclampsia is still not clear and there are a number of mechanisms and signaling pathways that intertwine. It is very important to develop specific and reliable predictive algorithms in order to enable early initiation of therapy due to facts that incidence of preeclampsia has upward trend and that cause adverse maternal and fetal outcome. Some of the most commonly used methods for prediction of preeclampsia include uterine artery Doppler velocimetry, determination of some microRNA, such as miR-210, and assessment of various pro-angiogenic and anti-angiogenic factors from blood. Angiogenic factors that possibly have most important role in pathogenesis of preeclampsia are vascular endothelial growth factor (VEGF) and placental growth factor (PlGF), which promote angiogenesis, and soluble fms-like tyrosine kinase-1 (sFlt1) and soluble form of endoglin (s-Eng), which exhibit anti-angiogenic properties. Aggravating circumstance is that preeclampsia has heterogeneous origin, and due to this fact, the value of individual markers can vary significantly. There is a constant tendency for creating comprehensive algorithm for prediction of preeclampsia which would be sufficiently specific and sensitive, and in the same time cheap and available. In that sense, new clinical studies are needed to show the most effective combination of parameters in the predeclampsia prediction.

Preeclampsia – Prediction and Monitoring Factors

The Obstetrics and Gynaecology Clinic Narodni Front

Clinic of Gynecology and Obstetrics, Clinical Centre of Montenegro

Medical faculty, Department of Gynecology and obstetrics

Faculty of Medical Sciences, Department of Gynecology and obstetrics

The Obstetrics and Gynaecology Clinic, Clinical center “Kragujevac”

Experimental and Applied Biomedical Research (EABR)

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

PREEKLAMPSIJA – FAKTORI PREDVIĐANJA I PRAĆENJA

Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality, usually characterized by hypertension and proteinuria. Despite...

Preeclampsia – Prediction and Monitoring Factors

Article Category: Review Paper

Publié en ligne: 31 déc. 2019

Pages: 287 - 294

Reçu: 14 juil. 2018

Accepté: 18 juil. 2018

DOI: https://doi.org/10.2478/sjecr-2018-0026

Mots clés
preeclampsia, prediction, Doppler velocimetry, microRNA, angiogenic factors

© 2019 Jovan Rudic et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Risk factors for preeclampsia onset.

Preeclampsia – Prediction and Monitoring Factors

Article Category: Review Paper

Publié en ligne: 31 déc. 2019

Pages: 287 - 294

Reçu: 14 juil. 2018

Accepté: 18 juil. 2018

DOI: https://doi.org/10.2478/sjecr-2018-0026

Mots cléspreeclampsia, prediction, Doppler velocimetry, microRNA, angiogenic factors

© 2019 Jovan Rudic et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Risk factors for preeclampsia onset.

Mots clés
preeclampsia, prediction, Doppler velocimetry, microRNA, angiogenic factors