Heart Regeneration

The heart muscle cells (cardiomyocytes) of adult mammalian hearts are essentially nonproliferative; thus, cardiac disease or injury frequently progresses to heart failure, because the heart cannot regenerate damaged myocardial tissue​. Yet, the newborn (neonatal) mammalian heart can regenerate, and this capability is lost seven days after birth. How does heart regeneration happen, why do mammalian hearts lose this capability seven days after birth, and can we prolong or reactivate it after this seven-day timepoint? See more

Cardiac Cell Engineering

Since cardiomyocytes are naturally very difficult to regenerate, one strategy is injecting artificial heart cells into the injured heart (cell transplantation). The transplanted cells (graft) need to survive and grow inside the injured heart (host) to replace the lost host cells during injury. The stem cells have a very high proliferating capacity and can differentiate into multiple cardiac cell types. Therefore, cardiac stem cells were chosen to transplant. Then, how do we artificially produce these cells, how to enhance their key capabilities, and how to deliver them to the injured heart? See more

Genetic Modification in Heart

The cardiac cell functions, including proliferation in cardiomyocytes, are regulated by many genes. Therefore, manipulating the proliferation regulators may improve heart regeneration and functions. How do we find the right regulators (such as VEGF and signaling pathways associated with heart generations), how do we design the biomaterial for modifying these genes, and how do we deliver these materials specifically to the cell type where we want them to work? https://journals.physiology.org/doi/full/10.1152/ajpheart.00471.2017

Bioinformatics, Big Data, and Artificial Intelligence in Cardiovascular Research

To understand the causes and risk factors of cardiovascular diseases, Cardiovascular Researchers have been generating a very large amount of data. The data are not only massive in size but also complex. The data includes genetic, functional image, electrophysiology, and even more. Therefore, new approaches to analyze the data using Big Data and Artificial Intelligence is required. See more