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Multi-scale Cardiovascular
Mechanobiology
Two percent of newborns are affected with an abnormal bicuspid
aortic valve, a defect that accelerates the calcification of cardiovascular
tissue and dilates the aorta. While a complete valve replacement
restores function, the projected life of an implant (less than
15 years) means that a patient will require multiple operations
in his/her life. In order to extend the life of an implant, as
well as develop drug-based therapies, the nature and progression
of cardiovascular disease must be better understood.
This project focuses on two specific mechanisms: the accelerated
calcification of the valve and the abnormal remodeling of the aorta
in the biscuspid aortic valve setting. We will study the effects
of mechanical forces and signals transmitted from the soundings
of the biscuspid aortic valve to the valve cells, as well as to
cells embedded in the extracellular matrix.
Methods to be used during this study include experimental (3D
PIV) and computational fluid dynamics, bioreactor design, cell
and tissue cultures, immunohistochemistry, western blotting, and
zymography.
Cardiovascular Tissue Engineering and Pre-conditioning
The challenges of aortic valve replacement include multiple operations
for the implantation of a mechanical or bioprosthetic heart valve. The
latter of which, because it does not remodel, progressively loses
its structure and, thus, its effectiveness. Over the past decade,
some studies have produced structures that look and function similar
to a valve, but these structures are not yet viable.
We believe the
hemodynamic environment of a valve regulates tissue remodeling
and that better understanding and identifying the optimal mechanical
environment of growing tissue in vitro could
enable the production of a biologically and mechanically functional
tissue-engineered heart valve.
This project employs tissue engineering,
mechanical testing, bioreactor design, immunohistochemistry, protein
inhibition, western blotting, and zymography.
Fluid-based Multi-scale Modeling of Cardiovascular
Disease Progression
The interactions of the cardiovascular system with its hemodynamic
environment are critical to understanding both cardiovascular disease
(the ways in which the disease initiates and progresses) and the
way in which cardiovascular tissue remodels. Yet, the very nature
(three-dimensionality of motions, deformations, organs and structures)
of the system has limited the amount of information that could
be captured. Because of this, the current approach to the flow
environment of the cardiovascular system has been to focus on the
development of computational models.
Our thrust is similar in nature, but we are complementing our
models with the mechanobiological results obtained from the other
projects in the Multi-scale Cardiovascular Bioengineering Laboratory.
This will allow us to develop multi-scale computational fluid dynamic
tools capable of more accurately predicting disease progression
and tissue regeneration in specific hemodynamic conditions. Ideally,
the outcome will aid in earlier diagnoses of cardiovascular pathologies,
improve drug-related treatment efficacy, and lessen the need for
replacement surgeries.
Methods to be used during this project include macro- and micro-scale
computational fluid dynamics, mathematical modeling, and mechanobiological
pathways.
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Balachandran K., Sucosky P., Jo H.,
Yoganathan A.P. "Elevated
Cyclic Stretch Alters Matrix Remodeling in Aortic Valve Cusps - A
Precursor to Degenerative Aortic Valve Disease". American Journal
of Physiology - Heart
and Circulatory Physiology. 2009 (in press).
Sucosky P., Elhammali A., Balachandran K., Jo H., Yoganathan A.P.
(2009) "Altered Shear Stress Stimulates Upregulation of Endothelial
VCAM-1 and ICAM-1 in a BMP-4- and TGF-β1-Dependent Pathway".
Arteriosclerosis, Thrombosis, and Vascular Biology. 2009; 29 (2):254-260.
Sucosky P., Padala M., Elhammali A., Balachandran K., Jo H., Yoganathan
A.P. "Design of an Ex Vivo Culture System to Investigate the
Effects of Shear Stress on Cardiovascular Tissue". Journal
of Biomechanical Engineering.
2008; 130 (3):035001-035008. |