Growth and remodeling of load-bearing biological soft tissues

Cyron, Christian J.; Humphrey, Jay D.

doi:10.1007/s11012-016-0472-5

Cited by 144 publications

(109 citation statements)

References 102 publications

(133 reference statements)

Supporting

Mentioning

107

Contrasting

Order By: Relevance

“…For such tissues, indeed, the occurrence of remodeling is put in relation to "tensional homeostasis." [55] Furthermore, we can speak of "irreversibility" only for processes occurring over relatively short time windows. Indeed, even though plastic-like distortions take place, the tissue may recover its initial shape because cells grow or because the cells move actively towards their original configuration.…”

Section: Limitations and Noveltiesmentioning

confidence: 99%

A study of growth and remodeling in isotropic tissues, based on the Anand‐Aslan‐Chester theory of strain‐gradient plasticity

et al. 2019

View full text Add to dashboard Cite

Motivated by the increasing interest of the biomechanical community towards the employment of strain‐gradient theories for solving biological problems, we study the growth and remodeling of a biological tissue on the basis of a strain‐gradient formulation of remodeling. Our scope is to evaluate the impact of such an approach on the principal physical quantities that determine the growth of the tissue. For our purposes, we assume that remodeling is characterized by a coarse and a fine length scale and, taking inspiration from a work by Anand, Aslan, and Chester, we introduce a kinematic variable that resolves the fine scale inhomogeneities induced by remodeling. With respect to this variable, a strain‐gradient framework of remodeling is developed. We adopt this formulation in order to investigate how a tumor tissue grows and how it remodels in response to growth. In particular, we focus on a type of remodeling that manifests itself in two different, but complementary, ways: on the one hand, it finds its expression in a stress‐induced reorganization of the adhesion bonds among the tumor cells, and, on the other hand, it leads to a change of shape of the cells and of the tissue, which is generally not recovered when external loads are removed. To address this situation, we resort to a generalized Bilby‐Kröner‐Lee decomposition of the deformation gradient tensor. We test our model on a benchmark problem taken from the literature, which we rephrase in two ways: microscale remodeling is disregarded in the first case, and accounted for in the second one. Finally, we compare and discuss the obtained numerical results.

show abstract

Section: Limitations and Noveltiesmentioning

confidence: 99%

A study of growth and remodeling in isotropic tissues, based on the Anand‐Aslan‐Chester theory of strain‐gradient plasticity

et al. 2019

View full text Add to dashboard Cite

show abstract

“…106 Vascular mechanobiological modelling has an added complexity of a considerable physiological pre-stress of the matrix. 107 This requires the definition of an attachment or deposition stretch, the stretch of new fibrils synthesised by cells when they are incorporated into the matrix. 108 This concept was applied in the first microstructurally based remodelling simulation of an abdominal aortic aneurysm.…”

Section: Adaptive Modelsmentioning

confidence: 99%

Mechanobiological modelling of tendons: Review and future opportunities

Thompson

Bajuri

Khayyeri

et al. 2017

Proc Inst Mech Eng H

View full text Add to dashboard Cite

Tendons are adapted to carry large, repeated loads and are clinically important for the maintenance of musculoskeletal health in an increasing, actively ageing population, as well as in elite athletes. Tendons are known to adapt to mechanical loading. Also, their healing and disease processes are highly sensitive to mechanical load. Computational modelling approaches developed to capture this mechanobiological adaptation in tendons and other tissues have successfully addressed many important scientific and clinical issues. The aim of this review is to identify techniques and approaches that could be further developed to address tendon-related problems. Biomechanical models are identified that capture the multi-level aspects of tendon mechanics. Continuum whole tendon models, both phenomenological and microstructurally motivated, are important to estimate forces during locomotion activities. Fibril-level microstructural models are documented that can use these estimated forces to detail local mechanical parameters relevant to cell mechanotransduction. Cell-level models able to predict the response to such parameters are also described. A selection of updatable mechanobiological models is presented. These use mechanical signals, often continuum tissue level, along with rules for tissue change and have been applied successfully in many tissues to predict in vivo and in vitro outcomes. Signals may include scalars derived from the stress or strain tensors, or in poroelasticity also fluid velocity, while adaptation may be represented by changes to elastic modulus, permeability, fibril density or orientation. So far, only simple analytical approaches have been applied to tendon mechanobiology. With the development of sophisticated computational mechanobiological models in parallel with reporting more quantitative data from in vivo or clinical mechanobiological studies, for example, appropriate imaging, biochemical and histological data, this field offers huge potential for future development towards clinical applications.

show abstract

“…Hence, Humphrey and coworkers introduced a conceptually different approach to model growth and remodeling, one that is based on tracking the turnover of individual constituents in stressed configurations (the constrained mixture model. [13] ) A comprehensive review comparing both approaches is provided in Cyron et al [16] We have chosen to model the adaptation of pulmonary autografts using constrained mixture theory. The main advantage of this mathematical framework compared to kinematic growth is that it takes into account the simultaneous very different production and degradation processes that both elastin and collagen have during the adaptation process.…”

Section: Introductionmentioning

confidence: 99%