Literature DB >> 22229062

Vascular network modeling reveals significant differences in vascular morphology in growth-restricted placentas.

Shi-Peng Gong, Ying-Ting Zhao, Yan-Hong Yu.   

Abstract

AIM: To construct and examine models of the vascular networks using the technique of vascular corrosion casting in placentas collected from normal pregnancies and from pregnancies complicated by fetal growth restriction (FGR).
METHODS: Twenty placentas were collected from normal term pregnancies (Group NP) and an equal number from pregnancies with idiopathic term FGR (Group FGR) and placental vascular network models constructed by perfusing an acrylic-based solution separately into the umbilical vein and arteries. Placental blood volumes and blood vessel characteristics (number of branches, diameter, and morphology) were then examined and compared.
RESULTS: In placentas from Group NP, the veins branched five to seven times with a peripheral artery-to-vein ratio ranging from 1:2 to 1:3. In placentas from Group FGR, the veins branched only four to five times with an artery-to-vein ratio of 1:1 to 2:1 and increased evidence of nodularity and pitting of the vessel walls. The two groups showed significant differences in placental blood volume and in the mean diameters of umbilical veins and arteries. In Group FGR, significant positive correlations could be found between birth weight and placental volume, venous diameters, and select arterial diameters.
CONCLUSION: Vascular network models can be constructed from term placentas. Such modeling may provide novel insights and improve our understanding of the placental vascular system in both health and disease.

Keywords:  Fetal growth restriction; Placenta; Pregnancy; Vascular corrosion casting

Year:  2011        PMID: 22229062      PMCID: PMC3252882     

Source DB:  PubMed          Journal:  Rev Obstet Gynecol        ISSN: 1941-2797


  16 in total

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2.  Differences in placental capillary shear stress in fetal growth restriction may affect endothelial cell function and vascular network formation.

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