Pericytes Contribute to Dysfunction in a Human 3D Model of Placental Microvasculature through VEGF‐Ang‐Tie2 Signaling
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advs.201900878.pdf
Description
Published version
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3.8 MB
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d609ef65004b94ea5c72a1c2c275a182
Author(s) • • •
Haase, Kristina
Gillrie, Mark R
Hajal, Cynthia
Kamm, Roger D
Date Issued
2019
Journal
Advanced Science
Publisher
Wiley
Version
Final published version
Abstract
© 2019 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Placental vasculopathies are associated with a number of pregnancy-related diseases, including pre-eclampsia (PE)—a leading cause of maternal–fetal morbidity and mortality worldwide. Placental presentations of PE are associated with endothelial dysfunction, reduced vessel perfusion, white blood cell infiltration, and altered production of angiogenic factors within the placenta (a candidate mechanism). Despite maintaining vascular quiescence in other tissues, how pericytes contribute to vascular growth and signaling in the placenta remains unknown. Here, pericytes are hypothesized to play a detrimental role in the pathogenesis of placental vascular growth. A perfusable triculture model is developed, consisting of human endothelial cells, fibroblasts, and pericytes, capable of recapitulating growth and remodeling in a system that mimics inflamed placental microvessels. Placental pericytes are shown to contribute to growth restriction of microvessels over time, an effect that is strongly regulated by vascular endothelial growth factor and Angiopoietin/Tie2 signaling. Furthermore, this model is capable of recapitulating essential processes including tumor necrosis factor alpha (TNFα)-mediated vascular leakage and leukocyte infiltration, both important aspects associated with placental PE. This placental vascular model highlights that an imbalance in endothelial–pericyte crosstalk can play a critical role in the development of vascular pathology and associated diseases.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Biological Engineering
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1002/ADVS.201900878