Three dimensional multi-scale modelling and analysis of cell damage in cell-encapsulated alginate constructs

Yan, Karen Chang; Nair, Kalyani; Sun, Wei

doi:10.1016/j.jbiomech.2009.12.018

Cited by 41 publications

(17 citation statements)

References 34 publications

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“…At the cellular level, many groups have been focusing their efforts on the development of mechanical models of the deformation of individual cells or cell parts [49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 33, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79]. For instance, significant progresses have been made on red blood cell (RBC) modeling, with full three dimensional models using finite-element based continuum methods [53, 64], coarse-grained molecular dynamics (MD) simulations [80, 81], and dissipative particle dynamics (DPD) computations capable of describing detailed cell-fluid interactions [82].…”

Section: Introductionmentioning

confidence: 99%

“…At a smaller scale, cytoskeleton proteins and their interaction with the membrane have been more recently modeled using molecular dynamics (MD), coarse-grained MD and normal mode analysis [84, 85, 86], but the important length and time scale limitations of MD coupled to the large number of unknowns either for the atomic interaction potentials or the protein interaction mechanisms forbid its use at the cellular scale. Overall, it is observed that continuum models are flexible enough to allow for a relatively accurate representation of the cell parts geometry (e.g., nucleus, cytoplasm and membrane/cortex) with individualized constitutive macroscopic features of the deformation [49, 50, 52, 55, 57, 62, 61, 63, 65, 66, 70, 68, 69, 33, 71, 72, 74, 75, 78, 79]. …”

Section: Introductionmentioning

confidence: 99%

“…Except for a few exceptions, very little work has been dedicated to using such models under damaging—or at least at high—rate loading conditions [33, 75, 76, 78]. Such studies present the inconvenient of bringing more often than not additional unknowns to the problem but under loading rates fast enough to generally avoid the active deformation of the cell, i.e., the self-reorganization of its protein structures under external stimuli.…”

Section: Introductionmentioning

confidence: 99%

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Continuum modeling of a neuronal cell under blast loading

Jérusalem

Dao

2012

Acta Biomaterialia

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Traumatic brain injuries have recently been put under the spotlight as one of the most important causes of accidental brain dysfunctions. Significant experimental and modeling efforts are thus ongoing to study the associated biological, mechanical and physical mechanisms. In the field of cell mechanics, progresses are also being made at the experimental and modeling levels to better characterize many of the cell functions such as differentiation, growth, migration and death, among others. The work presented here aims at bridging both efforts by proposing a continuum model of neuronal cell submitted to blast loading. In this approach, cytoplasm, nucleus and membrane (plus cortex) are differentiated in a representative cell geometry, and different material constitutive models are adequately chosen for each one. The material parameters are calibrated against published experimental work of cell nanoindentation at multiple rates. The final cell model is ultimately subjected to blast loading within a complete fluid-structure interaction computational framework. The results are compared to the nanoindentation simulation and the specific effects of the blast wave on the pressure and shear levels at the interfaces are identified. As a conclusion, the presented model successfully captures some of the intrinsic intracellular phenomena occurring during its deformation under blast loading and potentially leading to cell damage. It suggests more particularly the localization of damage at the nucleus membrane similarly to what has already been observed at the overall cell membrane. This degree of damage is additionally predicted to be worsened by a longer blast positive phase duration. As a conclusion, the proposed model ultimately provides a new three dimensional computational tool to evaluate intracellular damage during blast loading.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Continuum modeling of a neuronal cell under blast loading

Jérusalem

Dao

2012

Acta Biomaterialia

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“…When only a small set of points within the cartilage are of interest, an obvious choice is to overlay a cell scale model within a macroscopic model, and calculate appropriate boundary conditions by interpolation from appropriate field variables in the tissue-scale model. This approach has been useful to provide insight into mechanics of chondrocytes through simulations conducted for several points within a cartilage model (Guilak and Mow, 2000; Moo et al, 2012) and has also been utilized for tissue constructs (Yan et al, 2010). However, the implementation constraints associated with this approach may hinder streamlined analysis.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a post-processing approach for multiscale analysis of biphasic mechanics of chondrocytes

Sibole

Maas

Halloran

et al. 2013

Computer Methods in Biomechanics and Biomedical Engineering

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Understanding the mechanical behavior of chondrocytes as a result of cartilage tissue mechanics has significant implications for both evaluation of mechanobiological function and to elaborate on damage mechanisms. A common procedure for prediction of chondrocyte mechanics (and of cell mechanics in general) relies on a computational post-processing approach where tissue level deformations drive cell level models. Potential loss of information in this numerical coupling approach may cause erroneous cellular scale results, particularly during multiphysics analysis of cartilage. The goal of this study was to evaluate the capacity of 1st and 2nd order data passing to predict chondrocyte mechanics by analyzing cartilage deformations obtained for varying complexity of loading scenarios. A tissue scale model with a sub-region incorporating representation of chondron size and distribution served as control. The postprocessing approach first required solution of a homogeneous tissue level model, results of which were used to drive a separate cell level model (same characteristics as the subregion of control model). The 1st data passing appeared to be adequate for simplified loading of the cartilage and for a subset of cell deformation metrics, e.g., change in aspect ratio. The 2nd order data passing scheme was more accurate, particularly when asymmetric permeability of the tissue boundaries were considered. Yet, the method exhibited limitations for predictions of instantaneous metrics related to the fluid phase, e.g., mass exchange rate. Nonetheless, employing higher-order data exchange schemes may be necessary to understand the biphasic mechanics of cells under lifelike tissue loading states for the whole time history of the simulation.

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“…The extrusion‐based bio‐printing method is then applied based on the structural design and materials/cells selected to produce tissue scaffolds, which are then cultured in vitro or implanted into the localized tissue area for in vivo applications. If adverse performance or undesired effects are observed, the outcomes from both in vitro and in vivo applications can be evaluated and the results used to modify the bio‐printing process to improve the fabrication of tissue scaffolds .…”

Section: Overview Of Extrusion‐based Tissue Scaffold Bio‐printingmentioning

confidence: 99%

A brief review of extrusion‐based tissue scaffold bio‐printing

Ning

Chen

2017

Biotechnology Journal

189

112

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Extrusion-based bio-printing has great potential as a technique for manipulating biomaterials and living cells to create three-dimensional (3D) scaffolds for damaged tissue repair and function restoration. Over the last two decades, advances in both engineering techniques and life sciences have evolved extrusion-based bio-printing from a simple technique to one able to create diverse tissue scaffolds from a wide range of biomaterials and cell types. However, the complexities associated with synthesis of materials for bio-printing and manipulation of multiple materials and cells in bio-printing pose many challenges for scaffold fabrication. This paper presents an overview of extrusion-based bio-printing for scaffold fabrication, focusing on the prior-printing considerations (such as scaffold design and materials/cell synthesis), working principles, comparison to other techniques, and to-date achievements. This paper also briefly reviews the recent development of strategies with regard to hydrogel synthesis, multi-materials/cells manipulation, and process-induced cell damage in extrusion-based bio-printing. The key issue and challenges for extrusion-based bio-printing are also identified and discussed along with recommendations for future, aimed at developing novel biomaterials and bio-printing systems, creating patterned vascular networks within scaffolds, and preserving the cell viability and functions in scaffold bio-printing. The address of these challenges will significantly enhance the capability of extrusion-based bio-printing.

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Three dimensional multi-scale modelling and analysis of cell damage in cell-encapsulated alginate constructs

Cited by 41 publications

References 34 publications

Continuum modeling of a neuronal cell under blast loading

Continuum modeling of a neuronal cell under blast loading

Evaluation of a post-processing approach for multiscale analysis of biphasic mechanics of chondrocytes

A brief review of extrusion‐based tissue scaffold bio‐printing

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