Over a million Americans suffer a heart attack (myocardial infarction) each year. For the majority who survive the initial event, the risks of serious complications such as infarct rupture and heart failure depend on the structure and mechanical properties of the scar tissue that replaces damaged heart muscle over the first few weeks. That scar tissue is produced by cardiac fibroblasts, and we recently showed that scar structure and mechanical properties are strongly influenced by mechanical stretch during healing. The biology of how fibroblasts respond to individual signals such as mechanical stretch has been studied extensively; yet we still understand relatively little about how fibroblasts integrate and respond to the multiple signals present in a healing wound. We therefore developed an agent-based model (ABM) of scar formation that represents individual fibroblasts - each migrating, aligning, depositing and remodeling collagen, dividing, dying, and responding to individual chemical, structural, and mechanical signals according to experimental measurements - and predicts the resulting evolution of tissue-level collagen content and fiber alignment in scars healing under different patterns of stretch. Here, we propose to couple this ABM with a finite-element model (FEM) of the infarct left ventricle to produce a coupled model that can predict the dynamic interplay between evolving scar structure, scar mechanics, and heart function after infarction and in response to therapies that alter infarct mechanics (Aim 1). Then, we will use a combination of experiments and modeling to better understand the cellular mechanisms by which mechanical stretch regulates collagen content and alignment in healing myocardial infarcts. Specifically, we will test the hypotheses that mechanical regulation of collagen degradation significantly influences collagen content and alignment during mechanical unloading (Aim 2) and that scar compaction significantly influences collagen fiber density but not in-plane fiber alignment across a range of loading conditions (Aim 3). The proposed studies are potentially significant both because they will generate the first validated, predictive model of infarct healing across a range of mechanical conditions - enabling computational screening and design of novel therapies - and because they will provide important new insight into the cellular mechanisms by which mechanical environment regulates scar formation, which could lead to the identification of new therapeutic approaches to modulating infarct healing.

Public Health Relevance

Over a million Americans suffer a heart attack each year. For the majority who survive the initial event, the risks of serious complications such as infarct rupture and heart failure depend on the structure and mechanical properties of the scar tissue that replaces damaged heart muscle over the first few weeks. The overall goal of this work is to understand and capture in computer models how cells in the heart produce scar tissue, enabling researchers to design better therapies for patients recovering from a heart attack.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL116449-03
Application #
9131778
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Lee, Albert
Project Start
2014-09-01
Project End
2018-12-31
Budget Start
2017-01-01
Budget End
2017-12-31
Support Year
3
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Virginia
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
065391526
City
Charlottesville
State
VA
Country
United States
Zip Code
22904
Lindsey, Merry L; Bolli, Roberto; Canty Jr, John M et al. (2018) Guidelines for experimental models of myocardial ischemia and infarction. Am J Physiol Heart Circ Physiol 314:H812-H838
Holmes, Jeffrey W; Laksman, Zachary; Gepstein, Lior (2016) Making better scar: Emerging approaches for modifying mechanical and electrical properties following infarction and ablation. Prog Biophys Mol Biol 120:134-48
Clarke, Samantha A; Richardson, William J; Holmes, Jeffrey W (2016) Modifying the mechanics of healing infarcts: Is better the enemy of good? J Mol Cell Cardiol 93:115-24
Richardson, William J; Holmes, Jeffrey W (2016) Emergence of Collagen Orientation Heterogeneity in Healing Infarcts and an Agent-Based Model. Biophys J 110:2266-77
Zeigler, A C; Richardson, W J; Holmes, J W et al. (2016) A computational model of cardiac fibroblast signaling predicts context-dependent drivers of myofibroblast differentiation. J Mol Cell Cardiol 94:72-81
Spinale, Francis G; Frangogiannis, Nikolaos G; Hinz, Boris et al. (2016) Crossing Into the Next Frontier of Cardiac Extracellular Matrix Research. Circ Res 119:1040-1045
Zeigler, Angela C; Richardson, William J; Holmes, Jeffrey W et al. (2016) Computational modeling of cardiac fibroblasts and fibrosis. J Mol Cell Cardiol 93:73-83
Richardson, William J; Clarke, Samantha A; Quinn, T Alexander et al. (2015) Physiological Implications of Myocardial Scar Structure. Compr Physiol 5:1877-909
Richardson, William J; Holmes, Jeffrey W (2015) Why Is Infarct Expansion Such an Elusive Therapeutic Target? J Cardiovasc Transl Res 8:421-30