Disentangling the Mechanisms of Coronary Blood Flow Regulation through Multi-scale Modeling
Daniel Beard, Johnathan Tune, and Alberto Figueroa are looking to hire a postdoc to work in a project which seeks to investigate mechanisms of coronary blood flow regulation using animal models and computational modeling. Please see details below.
Interested in learning about the complex mechanisms ruling coronary blood flow auto-regulation in health and disease?
Would you like to work in a multi-disciplinary team, with experts in coronary physiology, animal models, and computational modeling?
If so, we are looking for a talented post-doc to help us with this challenging and exciting project.
Suitable candidates will have a PhD in applied math, biomedical or mechanical engineering, or quantitative physiology, and have experience in modeling blood flow.
The most prominent theories to explain coronary autoregulatory behavior are the local metabolic and myogenic hypotheses. However, given that these pathways share common end-effector pathways and microvascular responses, differ transmurally across layers of the myocardium, and are influenced by structural and contractile properties of the myocardium, our knowledge remains rather phenomenological.
The primary goal of this proposal is to address this deficit through computational and experimental studies to build, test, and refine competing hypotheses for the metabolic mechanism in the context of a multi-scale model of coronary flow regulation. Our approach builds on our recent efforts with constrained mixture theory models and in vivo assessment of coronary pressure at zero-flow (Pzf), an index of underlying myogenic tone. Applying this experimental and modeling framework to test and refine hypotheses regarding pathologically over-active myogenic response in coronary microvascular dysfunction associated with obesity will provide further insight into short- vs. long-term impact of microvascular adaptions in health and disease.
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