Computational modeling of the structure-function relationship in human placental terminal villi

被引:22
|
作者
Mayo, R. Plitman [1 ,2 ]
Olsthoorn, J. [3 ]
Charnock-Jones, D. S. [4 ]
Burton, G. J. [2 ]
Oyen, M. L. [1 ,2 ]
机构
[1] Univ Cambridge, Dept Engn, Nanosci Ctr, Cambridge CB3 0FF, England
[2] Univ Cambridge, Dept Physiol Dev & Neurosci, CTR, Cambridge CB2 3EG, England
[3] Univ Cambridge, Dept Appl Math & Theoret Phys, Cambridge CB3 0WA, England
[4] Univ Cambridge, Dept Obstet & Gynaecol, Cambridge CB2 0SW, England
关键词
Blood flow; Oxygen transport; Terminal villi; Placenta; Modeling; GAS-EXCHANGE; FETOPLACENTAL CIRCULATION; MATHEMATICAL-MODEL; FETAL CIRCULATION; OXYGEN-TRANSPORT; BLOOD-FLOW; HEMODYNAMICS; ULTRASOUND; DIFFUSION; PREGNANCY;
D O I
10.1016/j.jbiomech.2016.10.001
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Placental oxygen transport takes place at the final branches of the villous tree and is dictated by the relative arrangement of the maternal and fetal circulations. Modeling techniques have failed to accurately assess the structure-function relationship in the terminal villi due to the geometrical complexity. Three-dimensional blood flow and oxygen transport was modeled in four terminal villi reconstructed from confocal image stacks. The blood flow was analyzed along the center lines of capillary segments and the effect of the variability in capillary diameter, tortuosity and branching was investigated. Additionally, a validation study was performed to corroborate the simulation results. The results show how capillary variations impact motion of the fetal blood, and how their bends and dilatations can decelerate the flow by up to 80%. Vortical flow is also demonstrated not to develop in the fetal capillaries. The different geometries are shown to dictate the transport of gases with differences of over 100% in the oxygen flux between samples. Capillary variations are key for efficient oxygen uptake by the fetus; they allow the blood to decelerate where the villous membrane is thinnest allowing for a better oxygenation, but also by reducing the vessel diameter they carry the oxygenated blood away fast. The methodology employed herein could become a platform to simulate complicated in-vivo and in-vitro scenarios of pregnancy complications. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3780 / 3787
页数:8
相关论文
共 50 条
  • [21] STRUCTURE-FUNCTION RELATIONSHIP OF TRICHOSANTHIN
    PAN, KZ
    LIN, YJ
    ZHOU, KJ
    FU, ZJ
    CHEN, MH
    PURE AND APPLIED CHEMISTRY, 1994, 66 (01) : 57 - 64
  • [22] STRUCTURE-FUNCTION RELATIONSHIP - IMMUNOLOGICAL
    HEDING, LG
    FRANDSEN, EK
    JACOBSEN, H
    METABOLISM-CLINICAL AND EXPERIMENTAL, 1976, 25 (11): : 1327 - 1329
  • [23] Structure-function relationship of trichosanthin
    Ke, YB
    Chen, JK
    Nie, HL
    He, XH
    Ke, XY
    Wang, YH
    LIFE SCIENCES, 1997, 60 (07) : 465 - 472
  • [24] Structure-Function Relationship of Channelrhodopsins
    Kato, Hideaki E.
    OPTOGENETICS: LIGHT-SENSING PROTEINS AND THEIR APPLICATIONS IN NEUROSCIENCE AND BEYOND, 2ND EDITION, 2021, 1293 : 35 - 53
  • [25] Structure-function relationship and biogenesis regulation of the human telomerase holoenzyme
    Hukezalie, Kyle R.
    Wong, Judy M. Y.
    FEBS JOURNAL, 2013, 280 (14) : 3194 - 3204
  • [26] Application of Computational Techniques to Unravel Structure-function Relationship and their Role in Therapeutic Developmen
    Yadav, Tara Chand
    Srivastava, Amit Kumar
    Dey, Arpita
    Kumar, Naresh
    Raghuwanshi, Navdeep
    Pruthi, Vikas
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2018, 18 (20) : 1769 - 1791
  • [27] Structure-function relationship in a variant hemoglobin: A combined computational-experimental approach
    Ceccarelli, Matteo
    Ruggerone, Paolo
    Anedda, Roberto
    Fais, Antonella
    Era, Benedetta
    Sollaino, Maria Carla
    Corda, Marcella
    Casu, Mariano
    BIOPHYSICAL JOURNAL, 2006, 91 (09) : 3529 - 3541
  • [28] Towards understanding the structure-function relationship of human amyloid disease
    Dealwis, C
    Wall, J
    CURRENT DRUG TARGETS, 2004, 5 (02) : 159 - 171
  • [30] Modeling Proteins as Residue Interaction Networks to Understand Structure-Function Relationship
    Mehta, Isha D.
    Beck, Brian W.
    BIOPHYSICAL JOURNAL, 2014, 106 (02) : 50A - 50A