| Title |
Viscosity and haemodynamics in a late gestation rat feto-placental arterial network
|
|---|---|
| Published in |
Biomechanics and Modeling in Mechanobiology, March 2017
|
| DOI | 10.1007/s10237-017-0892-8 |
| Pubmed ID | |
| Authors |
Nikhilesh Bappoo, Lachlan J. Kelsey, Louis Parker, Tim Crough, Carmel M. Moran, Adrian Thomson, Megan C. Holmes, Caitlin S. Wyrwoll, Barry J. Doyle |
| 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Other | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 23% |
| Agricultural and Biological Sciences | 2 | 8% |
| Computer Science | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2017.
All research outputs
#13,718,294
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#201
of 486 outputs
Outputs of similar age
#157,985
of 312,223 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#7
of 12 outputs
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So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.