Viscosity and haemodynamics in a late gestation rat feto-placental arterial network

Nikhilesh Bappoo, Lachlan J. Kelsey, Louis Parker, Tim Crough, Carmel M. Moran, Adrian Thomson, Megan C. Holmes, Caitlin S. Wyrwoll, Barry J. Doyle

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The placenta is a transient organ which develops during pregnancy to provide haemotrophic support for healthy fetal growth and development. Fundamental to its function is the healthy development of vascular trees in the feto-placental arterial network. Despite the strong association of haemodynamics with vascular remodelling mechanisms, there is a lack of computational haemodynamic data that may improve our understanding of feto-placental physiology. The aim of this work was to create a comprehensive 3D computational fluid dynamics model of a substructure of the rat feto-placental arterial network and investigate the influence of viscosity on wall shear stress (WSS). Late gestation rat feto-placental arteries were perfused with radiopaque Microfil and scanned via micro-computed tomography to capture the feto-placental arterial geometry in 3D. A detailed description of rat fetal blood viscosity parameters was developed, and three different approaches to feto-placental haemodynamics were simulated in 3D using the finite volume method: Newtonian model, non-Newtonian Carreau–Yasuda model and Fåhræus–Lindqvist effect model. Significant variability in WSS was observed between different viscosity models. The physiologically-realistic simulations using the Fåhræus–Lindqvist effect and rat fetal blood estimates of viscosity revealed detailed patterns of WSS throughout the arterial network. We found WSS gradients at bifurcation regions, which may contribute to vessel enlargement, and sprouting and pruning during angiogenesis. This simulation of feto-placental haemodynamics shows the heterogeneous WSS distribution throughout the network and demonstrates the ability to determine physiologically-relevant WSS magnitudes, patterns and gradients. This model will help advance our understanding of vascular physiology and remodelling in the feto-placental network.

Original languageEnglish
Pages (from-to)1361-1372
Number of pages12
JournalBiomechanics and Modeling in Mechanobiology
Volume16
Issue number4
DOIs
Publication statusPublished - 1 Aug 2017

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