title: A triphasic constrained mixture model of engineered tissue formation under in vitro dynamic mechanical conditioning.
abstract: While it has become axiomatic that mechanical signals promote in vitro engineered tissue formation, the underlying mechanisms remain largely unknown. Moreover, efforts to date to determine parameters for optimal extracellular matrix (ECM) development have been largely empirical. In the present work, we propose a two-pronged approach involving novel theoretical developments coupled with key experimental data to develop better mechanistic understanding of growth and development of dense connective tissue under mechanical stimuli. To describe cellular proliferation and ECM synthesis that occur at rates of days to weeks, we employ mixture theory to model the construct constituents as a nutrient-cell-ECM triphasic system, their transport, and their biochemical reactions. Dynamic conditioning protocols with frequencies around 1 Hz are described with multi-scale methods to couple the dissimilar time scales. Enhancement of nutrient transport due to pore fluid advection is upscaled into the growth model, and the spatially dependent ECM distribution describes the evolving poroelastic characteristics of the scaffold-engineered tissue construct. Simulation results compared favorably to the existing experimental data, and most importantly, distinguish between static and dynamic conditioning regimes. The theoretical framework for mechanically conditioned tissue engineering (TE) permits not only the formulation of novel and better-informed mechanistic hypothesis describing the phenomena underlying TE growth and development, but also the exploration/optimization of conditioning protocols in a rational manner.
authors.affiliation: Center for Cardiovascular Simulation, Institute for Computational Engineering and Sciences (ICES), Department of Biomedical Engineering, The University of Texas at Austin, 201 East 24th Street, Austin, TX, 78712-1129, USA.
authors.forename: Joao S
authors.initials: JS
authors.lastname: Soares
authors.affiliation: Center for Cardiovascular Simulation, Institute for Computational Engineering and Sciences (ICES), Department of Biomedical Engineering, The University of Texas at Austin, 201 East 24th Street, Austin, TX, 78712-1129, USA. msacks@ices.utexas.edu.
authors.forename: Michael S
authors.initials: MS
authors.lastname: Sacks
mesh_terms: D000818:Animals; D017209:Apoptosis / Q000187:drug effects; D001696:Biomechanical Phenomena; D019149:Bioreactors; D049109:Cell Proliferation / Q000187:drug effects; D004247:DNA / Q000378:metabolism; D004548:Elasticity; D005109:Extracellular Matrix / Q000378:metabolism; D008954:Models, Biological; D010100:Oxygen / Q000494:pharmacology; D016062:Porosity; D012756:Sheep; D013997:Time Factors; D023822:Tissue Engineering / Q000379:methods*
chemical_list: D004247:DNA; D010100:Oxygen
keywords: Functional tissue engineering; Growth and remodeling; Heart valve; Multi-scale modeling; Poroelasticity; Reaction-diffusion