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The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo
Published on: August 2, 2017
Circulating Fibronectin and Plasminogen Activator Inhibitor-2 Levels as Possible Predictors of Recurrent Placental
Carmen A H Severens-Rijvers1, Salwan Al-Nasiry, Chahinda Ghossein-Doha
1Department of Pathology, Maastricht University Medical Centre, CAPHRI Research School, The Division 'Vrouw & Baby', Maastricht, The Netherlands.
Recurrent placental syndromes (rPS) are linked to higher fibronectin and lower plasminogen activator inhibitor-2 (PAI-2) levels in early pregnancy. These markers are more pronounced in women with subnormal plasma volume (PV).
Area of Science:
- Obstetrics and Gynecology
- Maternal-Fetal Medicine
- Reproductive Biology
Background:
- Placental syndromes (PS) involve endothelial and placental dysfunction.
- Fibronectin and plasminogen activator inhibitor-2 (PAI-2) are potential markers for endothelial dysfunction and trophoblast amount, respectively.
Purpose of the Study:
- To investigate if fibronectin and PAI-2 levels deviate in women with recurrent placental syndromes (rPS).
- To determine if these deviations are influenced by pre-pregnant plasma volume (PV).
Main Methods:
- Blood samples were collected preconceptionally and during early/mid-pregnancy (12-16 weeks) from 36 former PS patients.
- Fibronectin and PAI-2 levels were analyzed, comparing pregnancies with rPS (n=12) to those without (non-rPS, n=24).
- Subanalyses considered normal versus subnormal pre-pregnant PV.
Main Results:
- Higher fibronectin and lower PAI-2 levels were observed in the rPS subgroup during early/mid-pregnancy.
- These differences were more significant in women with subnormal pre-pregnant PV.
- The findings suggest these markers can indicate rPS risk in subsequent pregnancies.
Conclusions:
- Former PS patients who develop rPS exhibit elevated fibronectin and reduced PAI-2 levels early in pregnancy.
- Subnormal pre-pregnant PV exacerbates these marker deviations.
- A two-step screening program could identify high-risk women for closer surveillance.
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