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Engineered Aging Cardiac Tissue Chip Model for Studying Cardiovascular Disease.
Sachin Budhathoki1, Caleb Graham1, Palaniappan Sethu1
1Division of Cardiovascular Disease, Departments of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Cells, Tissues, Organs
|August 8, 2021
Summary
This study presents a novel cardiac tissue chip model that replicates aging heart conditions and myocardial infarction. This platform aids in studying age-related cardiovascular diseases and testing potential drug therapies.
Area of Science:
- Biomedical Engineering
- Cardiovascular Research
- Aging Biology
Background:
- Global aging population drives demand for better cardiovascular disease models.
- Existing models often fail to capture the complexities of aging hearts and infarction.
- Need for platforms that integrate hemodynamic stress and aging phenotypes.
Purpose of the Study:
- To develop a cardiac tissue chip model simulating an infarcted aging heart.
- To investigate cellular senescence and its role in cardiac pathology.
- To establish a platform for drug screening in age-related cardiovascular diseases.
Main Methods:
- Induced cellular senescence in H9c2 myoblasts using low-dose doxorubicin.
- Engineered cardiac tissue fibers from senescent cells and applied hemodynamic loading.
- Modeled myocardial ischemia using hypoxic treatment.
- Analyzed morphological and molecular markers of senescence and cardiac function.
Main Results:
- Doxorubicin induced senescence with characteristic morphological and molecular changes (e.g., enlarged nuclei, p16INK4a, p53, ROS expression).
- Engineered tissues under load maintained cell alignment and cardiac characteristics.
- The model successfully recapitulated myocardial infarction hallmarks, including increased cell death and elevated ANP/BNP expression.
Conclusions:
- A novel cardiac tissue chip model effectively mimics key aspects of the infarcted aging heart.
- The methodology allows for the generation of stress-induced aging cardiac cell phenotypes.
- This platform offers a valuable tool for studying age-related cardiovascular disease and for drug development.

