Cardiovascular diseases (CVD) are the leading cause of death around the world, being responsible for 31.8% of all deaths in 2017. The leading cause of CVD is Ischemic heart disease (IHD), which caused 8.1 million deaths in 2013. IHD occurs when coronary arteries in the heart are narrowed or blocked, preventing the flow of oxygen and blood into the cardiac muscle, which could provoke acute myocardial infarction (AMI) and ultimately lead to heart failure and death. Cardiac regenerative therapy aims to repair and refunctionalize damaged heart tissue through the application of (1) intramyocardial cell delivery, (2) epicardial cardiac patch, and (3) acellular biomaterials. These approaches have provided benefit of cell localization and tissue structure respectively. However, to improve cell retention and integration, there is a need for the intramyocardial delivery of functional tissues while preserving anisotropic muscle alignment. Here, we developed a biodegradable z-wire scaffold that supports the scalable gel-free production of an array of functional cardiac tissues in a 384-well plate format. The z-wire scaffold design supports cellular alignment, provides tunable mechanical support, and allows for hallmark tissue contraction. When the scaffold is imparted with magnetic properties, individual tissues can be assembled with macroscopic alignment under magnetic guidance. When used in combination with a customized surgical delivery tool, z-wire tissues can be injected directly into the myocardial wall, with controlled tissue orientation according to the injection path. This modular tissue engineering approach, in combination with the use of smart scaffolds, could expand opportunity in functional tissue delivery. / Thesis / Master of Science in Chemical Engineering (MSChE)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/25577 |
| Date | January 2020 |
| Creators | Portillo Esquivel, Luis Eduardo |
| Contributors | Zhang, Boyang |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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