In Silico Evaluation of Cardiac Tissue-Engineered Patch Interventions
John Patrick Sayut, Jr., Javiera Jilberto, Mia Bonini, Marc Hirschvogel, Will Zhang, David A. Nordsletten

TL;DR
This study uses computational modeling to evaluate how different cardiac tissue patch designs and properties can improve heart function after myocardial infarction, providing insights for optimizing tissue engineering strategies.
Contribution
It introduces a computational framework to assess the mechanical impact of various cardiac tissue patch configurations and properties on heart function post-infarction.
Findings
Transmural patches with active stress and fiber alignment significantly improve stroke volume.
A 10% active stress in patches can increase stroke volume by 18%.
Higher active stress and proper fiber orientation can recover over 50% of lost function.
Abstract
Myocardial infarction significantly degrades heart function, and current treatments can bring forth serious cost and complications including blood clots and infections. To improve the current state of treatment, researchers are developing tissue patches from induced-pluripotent stem cells that can be incorporated into the heart, improving organ function after a myocardial infarction. These tissue patches include surface patches, attached to the epicardium of the heart, and thick transmural patches that replace the infarcted region. However, little is known about the impact of cardiac tissue patches on pump function in a patient's heart. In addition, it is not clear what patch structural properties - such as active stress generation, muscle fiber alignment, or material stiffness - may best augment existing heart tissue. Computational modeling can be used to examine different…
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