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Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta
BACKGROUND: In the human placenta, maternal and fetal bloods exchange substances through the surface of the villous trees: the fetal blood circulates in the villous trees, around which the maternal blood circulates. The blood flows directly influence fetal growth. Stem villi, the main supports of th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Open
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418916/ https://www.ncbi.nlm.nih.gov/pubmed/28567130 http://dx.doi.org/10.2174/1874120701711010036 |
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author | Kato, Yoko Oyen, Michelle L. Burton, Graham J. |
author_facet | Kato, Yoko Oyen, Michelle L. Burton, Graham J. |
author_sort | Kato, Yoko |
collection | PubMed |
description | BACKGROUND: In the human placenta, maternal and fetal bloods exchange substances through the surface of the villous trees: the fetal blood circulates in the villous trees, around which the maternal blood circulates. The blood flows directly influence fetal growth. Stem villi, the main supports of the villous tree, have contractile cells along the axes, whose contractions are expected to influence the blood circulations in the placenta. The displacement is neither measurable nor predictable while non-invasive measurements such as umbilical Doppler waveforms are helpful to predict the histological changes of the villous trees and vascularization in the placenta. OBJECTIVE: The displacement caused by the contraction of the villous tree is necessary to predict the blood flows in the placenta. Hence, a computational villous tree model, which actively contracts, was developed in this study. METHOD: The villous tree model was based on the previous reports: shear moduli of the human placenta; branching patterns in the stem villi. The displacement pattern in the placenta was estimated by the computational model when the shear elastic moduli were changed. RESULTS: The results show that the displacement caused by the contraction was influenced by the shear elastic moduli, but kept useful for the blood flows in the placenta. The characteristics agreed with the robustness of the blood flows in the placenta. CONCLUSION: The villous tree model, which actively contracts, was developed in this study. The combination of this computational model and non-invasive measurements will be useful to evaluate the condition of the placenta. |
format | Online Article Text |
id | pubmed-5418916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Bentham Open |
record_format | MEDLINE/PubMed |
spelling | pubmed-54189162017-05-31 Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta Kato, Yoko Oyen, Michelle L. Burton, Graham J. Open Biomed Eng J Article BACKGROUND: In the human placenta, maternal and fetal bloods exchange substances through the surface of the villous trees: the fetal blood circulates in the villous trees, around which the maternal blood circulates. The blood flows directly influence fetal growth. Stem villi, the main supports of the villous tree, have contractile cells along the axes, whose contractions are expected to influence the blood circulations in the placenta. The displacement is neither measurable nor predictable while non-invasive measurements such as umbilical Doppler waveforms are helpful to predict the histological changes of the villous trees and vascularization in the placenta. OBJECTIVE: The displacement caused by the contraction of the villous tree is necessary to predict the blood flows in the placenta. Hence, a computational villous tree model, which actively contracts, was developed in this study. METHOD: The villous tree model was based on the previous reports: shear moduli of the human placenta; branching patterns in the stem villi. The displacement pattern in the placenta was estimated by the computational model when the shear elastic moduli were changed. RESULTS: The results show that the displacement caused by the contraction was influenced by the shear elastic moduli, but kept useful for the blood flows in the placenta. The characteristics agreed with the robustness of the blood flows in the placenta. CONCLUSION: The villous tree model, which actively contracts, was developed in this study. The combination of this computational model and non-invasive measurements will be useful to evaluate the condition of the placenta. Bentham Open 2017-04-14 /pmc/articles/PMC5418916/ /pubmed/28567130 http://dx.doi.org/10.2174/1874120701711010036 Text en © 2017 Kato et al. https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Article Kato, Yoko Oyen, Michelle L. Burton, Graham J. Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta |
title | Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta |
title_full | Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta |
title_fullStr | Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta |
title_full_unstemmed | Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta |
title_short | Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta |
title_sort | villous tree model with active contractions for estimating blood flow conditions in the human placenta |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418916/ https://www.ncbi.nlm.nih.gov/pubmed/28567130 http://dx.doi.org/10.2174/1874120701711010036 |
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