TY - JOUR
T1 - A 3D Bioprinted In Vitro Model of Pulmonary Artery Atresia to Evaluate Endothelial Cell Response to Microenvironment
AU - Tomov, Martin L.
AU - Perez, Lilanni
AU - Ning, Liqun
AU - Chen, Huang
AU - Jing, Bowen
AU - Mingee, Andrew
AU - Ibrahim, Sahar
AU - Theus, Andrea S.
AU - Kabboul, Gabriella
AU - Do, Katherine
AU - Bhamidipati, Sai Raviteja
AU - Fischbach, Jordan
AU - McCoy, Kevin
AU - Zambrano, Byron A.
AU - Zhang, Jianyi
AU - Avazmohammadi, Reza
AU - Mantalaris, Athanasios
AU - Lindsey, Brooks D.
AU - Frakes, David
AU - Dasi, Lakshmi Prasad
AU - Serpooshan, Vahid
AU - Bauser-Heaton, Holly
N1 - Publisher Copyright:
© 2021 Wiley-VCH GmbH
PY - 2021/10/20
Y1 - 2021/10/20
N2 - Vascular atresia are often treated via transcatheter recanalization or surgical vascular anastomosis due to congenital malformations or coronary occlusions. The cellular response to vascular anastomosis or recanalization is, however, largely unknown and current techniques rely on restoration rather than optimization of flow into the atretic arteries. An improved understanding of cellular response post anastomosis may result in reduced restenosis. Here, an in vitro platform is used to model anastomosis in pulmonary arteries (PAs) and for procedural planning to reduce vascular restenosis. Bifurcated PAs are bioprinted within 3D hydrogel constructs to simulate a reestablished intervascular connection. The PA models are seeded with human endothelial cells and perfused at physiological flow rate to form endothelium. Particle image velocimetry and computational fluid dynamics modeling show close agreement in quantifying flow velocity and wall shear stress within the bioprinted arteries. These data are used to identify regions with greatest levels of shear stress alterations, prone to stenosis. Vascular geometry and flow hemodynamics significantly affect endothelial cell viability, proliferation, alignment, microcapillary formation, and metabolic bioprofiles. These integrated in vitro–in silico methods establish a unique platform to study complex cardiovascular diseases and can lead to direct clinical improvements in surgical planning for diseases of disturbed flow.
AB - Vascular atresia are often treated via transcatheter recanalization or surgical vascular anastomosis due to congenital malformations or coronary occlusions. The cellular response to vascular anastomosis or recanalization is, however, largely unknown and current techniques rely on restoration rather than optimization of flow into the atretic arteries. An improved understanding of cellular response post anastomosis may result in reduced restenosis. Here, an in vitro platform is used to model anastomosis in pulmonary arteries (PAs) and for procedural planning to reduce vascular restenosis. Bifurcated PAs are bioprinted within 3D hydrogel constructs to simulate a reestablished intervascular connection. The PA models are seeded with human endothelial cells and perfused at physiological flow rate to form endothelium. Particle image velocimetry and computational fluid dynamics modeling show close agreement in quantifying flow velocity and wall shear stress within the bioprinted arteries. These data are used to identify regions with greatest levels of shear stress alterations, prone to stenosis. Vascular geometry and flow hemodynamics significantly affect endothelial cell viability, proliferation, alignment, microcapillary formation, and metabolic bioprofiles. These integrated in vitro–in silico methods establish a unique platform to study complex cardiovascular diseases and can lead to direct clinical improvements in surgical planning for diseases of disturbed flow.
KW - 3D bioprinting
KW - anastomosis
KW - bifurcated vessels
KW - particle image velocimetry
KW - pulmonary artery atresia
KW - Bioprinting
KW - Endothelial Cells
KW - Models, Cardiovascular
KW - Humans
KW - Stress, Mechanical
KW - Anastomosis, Surgical
KW - Hemodynamics
KW - Printing, Three-Dimensional
KW - Pulmonary Artery/surgery
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UR - http://www.scopus.com/inward/citedby.url?scp=85112661731&partnerID=8YFLogxK
U2 - 10.1002/adhm.202100968
DO - 10.1002/adhm.202100968
M3 - Article
C2 - 34369107
AN - SCOPUS:85112661731
SN - 2192-2640
VL - 10
SP - e2100968
JO - Advanced Healthcare Materials
JF - Advanced Healthcare Materials
IS - 20
M1 - 2100968
ER -