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Mathematical modeling of left ventricular dimensional changes in mice during aging
Tianyi Yang1, Ying Ann Chiao, Yunji Wang
1San Antonio Cardiovascular Proteomics Center, The University of Texas Health Science Center at San Antonio, TX, USA.
Cardiac aging leads to stiffer left ventricles (LV). A new mathematical model accurately predicts LV dimension and stiffness changes in aging mice, reflecting extracellular matrix alterations.
Area of Science:
- Cardiovascular research
- Biomechanical engineering
- Gerontology
Background:
- Cardiac aging is associated with left ventricular (LV) diastolic dysfunction.
- Increased LV wall stiffness, influenced by extracellular matrix (ECM) composition, contributes to diastolic dysfunction.
Purpose of the Study:
- To develop and validate a mathematical model predicting LV dimension and wall stiffness changes during cardiac aging.
- To investigate the impact of ECM composition on cardiac aging using a computational approach.
Main Methods:
- Developed a mathematical model integrating mechanical laws and experimental data from aging wild-type C57/BL6J mice (7.3 to 34.0 months).
- Model based on thick wall theory and stretch-induced tissue growth, treating the LV as an elastic composite.
- Simulations performed using Matlab, with initial conditions based on young mouse data.
Main Results:
- The mathematical model accurately captured key features of LV remodeling with age.
- Simulated LV dimensions and wall stiffness changes closely approximated experimental results.
- Model demonstrated the temporal progression of LV interior and exterior dimensions consistent with experimental data.
Conclusions:
- A validated mathematical model for cardiac aging has been developed.
- The model effectively applies thick-wall theory and stretch-induced tissue growth to understand LV remodeling.
- This approach provides insights into age-related changes in cardiac mechanics and ECM composition.
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