Heart failure (HF) is a worldwide epidemic that contributes considerably to the overall cost of health care in developed nations. The number of people afflicted with this complex disease is increasing at an alarming pace-a trend that is likely to continue for many years to come. The overall goals of our proposed research are to identify the mechanical culprits that dictate the bifurcation of the system from the stable healthy state into the instable state of HF and to determine the borderline between physiological/compensatory and pathophysiological/non-compensatory growth and remodeling (G&R). To address these goals, our research approach is to experimentally inform and validate multiscale laws of myocardial growth and remodeling (G&R) using three different clinically relevant large animal HF preparations in order to predict the propensity of patients with a myocardial infarction (MI) developing HF.
Our specific Aim 1 is to elucidate a predictive validated multiscale law of myocardial G&R in eccentric hypertrophy associated with cardiac dilation. We hypothesize that a fiber-strain-based growth law can predict cardiac G&R in response to volume-overload, i.e., elevated myofiber strains stimulate concentric growth. Competing hypotheses based on stress-, strain rate-, and strain energy will be tested.
Aim 2 is to validate a predictive multi-scale law of myocardial G&R in concentric hypertrophy associated with wall thickening. We hypothesize that a unified cross-fiber strain based growth law can predict cardiac G&R in response to pressure-overload. Similar competing hypotheses as in Aim 1 will be tested.
In Aim 3, we will apply these G&R laws to predict the propensity for HF in ischemic heart disease based on specific mechanical indices of myocardial function. We hypothesize that there exists a threshold of a maximal rate of change of strain in reference to sarcomere length, above which compensatory G&R is not possible and the physiological negative feedback loop to maintain homeostasis gives way to a positive feedback loop that leads to progress remodeling and ultimate demise of the myocardium. Successful completion of this work will provide a fundamental understanding of the response of myocardium to mechanical stimuli that has substantial clinical relevance. Scientifically, this approach will provide the first ever validated and calibrated predictive micro-structural model of myocardial growth and remodeling that is fundamental to cardiology, tissue engineering, cardiac rehabilitation, and cardiac surgery. Clinically, we will provide a specific mechanical index to predict the propensity of HF in ischemic heart disease that may have a significant healthcare implication.

Public Health Relevance

The progression of ischemic heart disease to heart failure is a significant healthcare problem. The use of mathematical and experimental models of heart failure will enhance our understanding of the principles of disease progression and allow the prediction of propensity to heart failure.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01HL119578-01A1
Application #
8669350
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Lee, Albert
Project Start
2014-07-25
Project End
2019-06-30
Budget Start
2014-07-25
Budget End
2015-06-30
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Surgery
Type
Schools of Medicine
DUNS #
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Sahli Costabal, Francisco; Yao, Jiang; Sher, Anna et al. (2018) Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator. Prog Biophys Mol Biol :
Dabiri, Yaghoub; Sack, Kevin L; Shaul, Semion et al. (2018) Relationship of Transmural Variations in Myofiber Contractility to Left Ventricular Ejection Fraction: Implications for Modeling Heart Failure Phenotype With Preserved Ejection Fraction. Front Physiol 9:1003
Sack, K L; Aliotta, E; Choy, J S et al. (2018) Effect of intra-myocardial Algisyl-LVRâ„¢ injectates on fibre structure in porcine heart failure. J Mech Behav Biomed Mater 87:172-179
Sack, Kevin L; Aliotta, Eric; Ennis, Daniel B et al. (2018) Construction and Validation of Subject-Specific Biventricular Finite-Element Models of Healthy and Failing Swine Hearts From High-Resolution DT-MRI. Front Physiol 9:539
Sahli Costabal, Francisco; Zaman, Junaid A B; Kuhl, Ellen et al. (2018) Interpreting Activation Mapping of Atrial Fibrillation: A Hybrid Computational/Physiological Study. Ann Biomed Eng 46:257-269
Choy, Jenny S; Leng, Shuang; Acevedo-Bolton, Gabriel et al. (2018) Efficacy of intramyocardial injection of Algisyl-LVR for the treatment of ischemic heart failure in swine. Int J Cardiol 255:129-135
Sack, Kevin L; Dabiri, Yaghoub; Franz, Thomas et al. (2018) Investigating the Role of Interventricular Interdependence in Development of Right Heart Dysfunction During LVAD Support: A Patient-Specific Methods-Based Approach. Front Physiol 9:520
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Weickenmeier, J; Saze, P; Butler, C A M et al. (2017) Bulging brains. J Elast 129:197-212
Costabal, Francisco Sahli; Concha, Felipe A; Hurtado, Daniel E et al. (2017) The importance of mechano-electrical feedback and inertia in cardiac electromechanics. Comput Methods Appl Mech Eng 320:352-368

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