Computational model of damage-induced growth in soft biological tissues considering the mechanobiology of healing

Autor: Meike Gierig, Peter Wriggers, Michele Marino
Rok vydání: 2021
Předmět:
FOS: Computer and information sciences
collagen
Dewey Decimal Classification::500 | Naturwissenschaften::540 | Chemie
Work (thermodynamics)
Dewey Decimal Classification::500 | Naturwissenschaften::570 | Biowissenschaften
Biologie
Soft biological tissue mechanics
wound healing
finite element analysis
02 engineering and technology
Biochemistry
collagen fiber
Mechanobiology
biophysics
Indentation
Non-linear finite elements
0303 health sciences
growth factor
tension
healing
simulation
Biomechanical Phenomena
Computational framework
Modeling and Simulation
Finite strain theory
ddc:540
Soft biological tissue
Biological system
Growth and remodeling
Biotechnology
Damage-induced growth
Histology
matrix metalloproteinase
Materials science
Bioinformatics
Finite Element Analysis
0206 medical engineering
Biophysics
elastin
Mechanobiology of healing
chemistry
Nonlinear finite element analysis
biomechanics
03 medical and health sciences
soft tissue injury
ddc:570
computer simulation
Humans
030304 developmental biology
Original Paper
Tissue
Homogenized constrained mixtures
Mechanism (biology)
Mechanical Engineering
Delamination
mechanical stress
biological model
020601 biomedical engineering
tissue growth
Elasticity
Matrix Metalloproteinases
Deformation gradients
Biological species
Chemical and biologicals
computer model
Stress
Mechanical
metabolism
Elasto-plastic formulation
Zdroj: Biomechanics and Modeling in Mechanobiology 20 (2021), Nr. 4
Biomechanics and Modeling in Mechanobiology
ISSN: 1617-7940
1617-7959
DOI: 10.1007/s10237-021-01445-5
Popis: Healing in soft biological tissues is a chain of events on different time and length scales. This work presents a computational framework to capture and couple important mechanical, chemical and biological aspects of healing. A molecular-level damage in collagen, i.e., the interstrand delamination, is addressed as source of plastic deformation in tissues. This mechanism initiates a biochemical response and starts the chain of healing. In particular, damage is considered to be the stimulus for the production of matrix metalloproteinases and growth factors which in turn, respectively, degrade and produce collagen. Due to collagen turnover, the volume of the tissue changes, which can result either in normal or pathological healing. To capture the mechanisms on continuum scale, the deformation gradient is multiplicatively decomposed in inelastic and elastic deformation gradients. A recently proposed elasto-plastic formulation is, through a biochemical model, coupled with a growth and remodeling description based on homogenized constrained mixtures. After the discussion of the biological species response to the damage stimulus, the framework is implemented in a mixed nonlinear finite element formulation and a biaxial tension and an indentation tests are conducted on a prestretched flat tissue sample. The results illustrate that the model is able to describe the evolutions of growth factors and matrix metalloproteinases following damage and the subsequent growth and remodeling in the respect of equilibrium. The interplay between mechanical and chemo-biological events occurring during healing is captured, proving that the framework is a suitable basis for more detailed simulations of damage-induced tissue response.
Databáze: OpenAIRE
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