A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal

Cardiac growth and remodeling (G&R) patterns change ventricular size, shape, and function both globally and locally. Biomechanical, neurohormonal, and genetic stimuli drive these patterns through changes in myocyte dimension and fibrosis. We propose a novel microstructure-motivated model that predicts organ-scale G&R in the heart based on the homogenized constrained mixture theory. Previous models, based on the kinematic growth theory, reproduced consequences of G&R in bulk myocardial tissue by prescribing the direction and extent of growth but neglected underlying cellular mechanisms. In our model, the direction and extent of G&R emerge naturally from intra- and extra cellular turnover processes in myocardial tissue constituents and their preferred homeostatic stretch state. We additionally propose a method to obtain a mechanobiologically equilibrated reference configuration. We test our model on an idealized 3D left ventricular geometry and demonstrate that our model aims to maintain tensional homeostasis in hypertension conditions. In a stability map, we identify regions of stable and unstable G&R from an identical parameter set with varying systolic pressures and growth factors. Furthermore, we show the extent of G&R reversal after returning the systolic pressure to baseline following stage 1 and 2 hypertension. A realistic model of organ-scale cardiac G&R has the potential to identify patients at risk of heart failure, enable personalized cardiac therapies, and facilitate the optimal design of medical devices.

[1]  C. A. Figueroa,et al.  Computational modelling of multi-temporal ventricular–vascular interactions during the progression of pulmonary arterial hypertension , 2022, Journal of the Royal Society Interface.

[2]  S. Kozerke,et al.  Cardiovascular magnetic resonance imaging of functional and microstructural changes of the heart in a longitudinal pig model of acute to chronic myocardial infarction , 2021, Journal of Cardiovascular Magnetic Resonance.

[3]  K. Campbell,et al.  Multiscale simulations of left ventricular growth and remodeling , 2021, Biophysical Reviews.

[4]  E. Roche,et al.  Characterization of Exercise-Induced Myocardium Growth Using Finite Element Modeling and Bayesian Optimization , 2021, Frontiers in Physiology.

[5]  Wolfgang A. Wall,et al.  What do cells regulate in soft tissues on short time scales? , 2021, Acta biomaterialia.

[6]  J. Humphrey,et al.  Mechanical homeostasis in tissue equivalents: a review , 2021, Biomechanics and Modeling in Mechanobiology.

[7]  J. Humphrey Constrained Mixture Models of Soft Tissue Growth and Remodeling – Twenty Years After , 2021, Journal of Elasticity.

[8]  J. Holmes,et al.  A multiscale model of cardiac concentric hypertrophy incorporating both mechanical and hormonal drivers of growth , 2020, Biomechanics and Modeling in Mechanobiology.

[9]  Kyoko Yoshida,et al.  Computational models of cardiac hypertrophy. , 2020, Progress in biophysics and molecular biology.

[10]  Christoph M. Augustin,et al.  Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype , 2020, Acta biomaterialia.

[11]  M R Pfaller,et al.  Using parametric model order reduction for inverse analysis of large nonlinear cardiac simulations , 2020, International journal for numerical methods in biomedical engineering.

[12]  A. McCulloch,et al.  Multiscale Models of Cardiac Muscle Biophysics and Tissue Remodeling in Hypertrophic Cardiomyopathies. , 2019, Current opinion in biomedical engineering.

[13]  S. Farzaneh,et al.  Patient-specific predictions of aneurysm growth and remodeling in the ascending thoracic aorta using the homogenized constrained mixture model , 2019, Biomechanics and Modeling in Mechanobiology.

[14]  J. Humphrey,et al.  Mechanobiological Stability of Biological Soft Tissues. , 2019, Journal of the mechanics and physics of solids.

[15]  B. Greenberg,et al.  Mechanisms of cardiac collagen deposition in experimental models and human disease. , 2019, Translational research : the journal of laboratory and clinical medicine.

[16]  T. Schwarzmayr,et al.  Long-term functional and structural preservation of precision-cut human myocardium under continuous electromechanical stimulation in vitro , 2019, Nature Communications.

[17]  C. Cyron,et al.  Anisotropic stiffness and tensional homeostasis induce a natural anisotropy of volumetric growth and remodeling in soft biological tissues , 2018, Biomechanics and Modeling in Mechanobiology.

[18]  Radomír Chabiniok,et al.  The importance of the pericardium for cardiac biomechanics: from physiology to computational modeling , 2018, Biomechanics and Modeling in Mechanobiology.

[19]  J. Wagenseil,et al.  Elastin, arterial mechanics, and cardiovascular disease. , 2018, American journal of physiology. Heart and circulatory physiology.

[20]  J. Humphrey,et al.  A mechanobiologically equilibrated constrained mixture model for growth and remodeling of soft tissues , 2018, Zeitschrift fur angewandte Mathematik und Mechanik.

[21]  D. Burkhoff,et al.  Reverse remodelling and myocardial recovery in heart failure , 2018, Nature Reviews Cardiology.

[22]  G. Holzapfel,et al.  The influence of fiber dispersion on the mechanical response of aortic tissues in health and disease: a computational study , 2018, Computer methods in biomechanics and biomedical engineering.

[23]  C. Vecchione,et al.  A Review of the Molecular Mechanisms Underlying the Development and Progression of Cardiac Remodeling , 2017, Oxidative medicine and cellular longevity.

[24]  Sebastian Kozerke,et al.  Maximum likelihood estimation of cardiac fiber bundle orientation from arbitrarily spaced diffusion weighted images , 2017, Medical Image Anal..

[25]  C J Cyron,et al.  Homogenized constrained mixture models for anisotropic volumetric growth and remodeling , 2016, Biomechanics and Modeling in Mechanobiology.

[26]  Stéphane Avril,et al.  Patient-specific stress analyses in the ascending thoracic aorta using a finite-element implementation of the constrained mixture theory , 2017, Biomechanics and modeling in mechanobiology.

[27]  Colleen M. Witzenburg,et al.  A Comparison of Phenomenologic Growth Laws for Myocardial Hypertrophy , 2017, Journal Of Elasticity.

[28]  C J Cyron,et al.  Growth and remodeling of load-bearing biological soft tissues , 2016, Meccanica.

[29]  C. Cyron,et al.  Homogenized constrained mixture models for anisotropic volumetric growth and remodeling , 2016, Biomechanics and Modeling in Mechanobiology.

[30]  L C Lee,et al.  Mathematical modeling of cardiac growth and remodeling , 2016, Wiley interdisciplinary reviews. Systems biology and medicine.

[31]  J. D. Humphrey,et al.  A homogenized constrained mixture (and mechanical analog) model for growth and remodeling of soft tissue , 2016, Biomechanics and modeling in mechanobiology.

[32]  Raymond B. Runyan,et al.  Dynamic Myofibrillar Remodeling in Live Cardiomyocytes under Static Stretch , 2016, Scientific Reports.

[33]  Gerhard Sommer,et al.  Biomechanical properties and microstructure of human ventricular myocardium. , 2015, Acta biomaterialia.

[34]  Jens R. Nyengaard,et al.  Dynamics of Cell Generation and Turnover in the Human Heart , 2015, Cell.

[35]  E. Kuhl,et al.  A computational model that predicts reverse growth in response to mechanical unloading , 2015, Biomechanics and modeling in mechanobiology.

[36]  C J Cyron,et al.  Vascular homeostasis and the concept of mechanobiological stability. , 2014, International journal of engineering science.

[37]  C J Cyron,et al.  Mechanobiological stability: a new paradigm to understand the enlargement of aneurysms? , 2014, Journal of The Royal Society Interface.

[38]  Gerhard A. Holzapfel,et al.  A generalized prestressing algorithm for finite element simulations of preloaded geometries with application to the aorta , 2014, International journal for numerical methods in biomedical engineering.

[39]  Stig W. Omholt,et al.  A computational analysis of the long-term regulation of arterial pressure , 2013, F1000Research.

[40]  J. Humphrey,et al.  Importance of initial aortic properties on the evolving regional anisotropy, stiffness and wall thickness of human abdominal aortic aneurysms , 2012, Journal of The Royal Society Interface.

[41]  G. Mancia,et al.  Prevalence of left-ventricular hypertrophy in hypertension: an updated review of echocardiographic studies , 2012, Journal of Human Hypertension.

[42]  J. Molkentin,et al.  Molecular pathways underlying cardiac remodeling during pathophysiological stimulation. , 2010, Circulation.

[43]  Serdar Göktepe,et al.  A multiscale model for eccentric and concentric cardiac growth through sarcomerogenesis. , 2010, Journal of theoretical biology.

[44]  M. Bailly,et al.  Changes in fibroblast mechanostat set point and mechanosensitivity: an adaptive response to mechanical stress in floppy eyelid syndrome. , 2010, Investigative ophthalmology & visual science.

[45]  Gerhard A Holzapfel,et al.  Constitutive modelling of passive myocardium: a structurally based framework for material characterization , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[46]  Christophe Geuzaine,et al.  Gmsh: A 3‐D finite element mesh generator with built‐in pre‐ and post‐processing facilities , 2009 .

[47]  Theo Arts,et al.  Computational modeling of volumetric soft tissue growth: application to the cardiac left ventricle , 2009, Biomechanics and modeling in mechanobiology.

[48]  J. Schisler,et al.  Build it up-Tear it down: protein quality control in the cardiac sarcomere. , 2008, Cardiovascular research.

[49]  Samuel Bernard,et al.  Evidence for Cardiomyocyte Renewal in Humans , 2008, Science.

[50]  J. Couet,et al.  Early responses of the left ventricle to pressure overload in Wistar rats. , 2008, Life sciences.

[51]  Francis G Spinale,et al.  Myocardial matrix remodeling and the matrix metalloproteinases: influence on cardiac form and function. , 2007, Physiological reviews.

[52]  J. S. Janicki,et al.  The relationship between myocardial extracellular matrix remodeling and ventricular function. , 2006, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[53]  Marc A Pfeffer,et al.  Controversies in ventricular remodelling , 2006, The Lancet.

[54]  Daniel W. Jones,et al.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. , 2003, JAMA.

[55]  Jay D. Humphrey,et al.  A CONSTRAINED MIXTURE MODEL FOR GROWTH AND REMODELING OF SOFT TISSUES , 2002 .

[56]  J. Cohn,et al.  Cardiac remodeling--concepts and clinical implications: a consensus paper from an international forum on cardiac remodeling. Behalf of an International Forum on Cardiac Remodeling. , 2000, Journal of the American College of Cardiology.

[57]  M Eastwood,et al.  Tensional homeostasis in dermal fibroblasts: Mechanical responses to mechanical loading in three‐dimensional substrates , 1998, Journal of cellular physiology.

[58]  A. McCulloch,et al.  Stress-dependent finite growth in soft elastic tissues. , 1994, Journal of biomechanics.

[59]  M. Schluchter,et al.  Remodelling of left ventricular after banding of ascending aorta in the rat. , 1990, Cardiovascular research.

[60]  K. Weber,et al.  Cardiac interstitium in health and disease: the fibrillar collagen network. , 1989, Journal of the American College of Cardiology.

[61]  J S Janicki,et al.  Collagen network remodelling and diastolic stiffness of the rat left ventricle with pressure overload hypertrophy. , 1988, Cardiovascular research.

[62]  G L Freeman,et al.  Pericardial Adaptations during Chronic Cardiac Dilation in Dogs , 1984, Circulation research.

[63]  W Grossman,et al.  Wall stress and patterns of hypertrophy in the human left ventricle. , 1975, The Journal of clinical investigation.

[64]  A J LINZBACH,et al.  Heart failure from the point of view of quantitative anatomy. , 1960, The American journal of cardiology.

[65]  Karl F. Stock,et al.  A COMPUTATIONAL MODEL , 2011 .