Lattice Boltzmann simulation of deformable fluid-filled bodies: progress and perspectives

Silva, Danilo P. F.; Coelho, Rodrigo C. V.; Pagonabarraga, Ignacio; Succi, Sauro; Telo da Gama, Margarida M.; Araújo, Nuno A. M.

doi:10.1039/d3sm01648j

Cited by 7 publications

(2 citation statements)

References 191 publications

(363 reference statements)

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“…Moreover, due to the continuity of membrane properties in FEM, the method is limited to modeling at length scales where local property differences in the membrane are insignificant. In contrast, DEM excels in capturing local property differences and heterogeneities, allowing for a more accurate representation of membrane behaviour at various length scales ( Silva et al, 2024 ).…”

Section: Methodsmentioning

confidence: 99%

Computational analysis of cancer cell adhesion in curved vessels affected by wall shear stress for prediction of metastatic spreading

Rahmati,

Maftoon

2024

Front. Bioeng. Biotechnol.

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Introduction: The dynamics of circulating tumor cells (CTCs) within blood vessels play a pivotal role in predicting metastatic spreading of cancer within the body. However, the limited understanding and method to quantitatively investigate the influence of vascular architecture on CTC dynamics hinders our ability to predict metastatic process effectively. To address this limitation, the present study was conducted to investigate the influence of blood vessel tortuosity on the behaviour of CTCs, focusing specifically on establishing methods and examining the role of shear stress in CTC-vessel wall interactions and its subsequent impact on metastasis.Methods: We computationally simulated CTC behaviour under various shear stress conditions induced by vessel tortuosity. Our computational model, based on the lattice Boltzmann method (LBM) and a coarse-grained spectrin-link membrane model, efficiently simulates blood plasma dynamics and CTC deformability. The model incorporates fluid-structure interactions and receptor-ligand interactions crucial for CTC adhesion using the immersed boundary method (IBM).Results: Our findings reveal that uniform shear stress in straight vessels leads to predictable CTC-vessel interactions, whereas in curved vessels, asymmetrical flow patterns and altered shear stress create distinct adhesion dynamics, potentially influencing CTC extravasation. Quantitative analysis shows a 25% decrease in the wall shear stress in low-shear regions and a 58.5% increase in the high-shear region. We observed high-shear regions in curved vessels to be potential sites for increased CTC adhesion and extravasation, facilitated by elevated endothelial expression of adhesion molecules. This phenomenon correlates with the increased number of adhesion bonds, which rises to approximately 40 in high-shear regions, compared to around 12 for straight vessels and approximately 5–6 in low-shear regions. The findings also indicate an optimal cellular stiffness necessary for successful CTC extravasation in curved vessels.Discussion: By the quantitative assessment of the risk of CTC extravasation as a function of vessel tortuosity, our study offers a novel tool for the prediction of metastasis risk to support the development of personalized therapeutic interventions based on individual vascular characteristics and tumor cell properties.

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Section: Methodsmentioning

confidence: 99%

Computational analysis of cancer cell adhesion in curved vessels affected by wall shear stress for prediction of metastatic spreading

Rahmati,

Maftoon

2024

Front. Bioeng. Biotechnol.

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“…However, over the last three decades, scholars have progressively developed mesoscopic computational methods founded on statistical mechanics, notably the lattice Boltzmann method (LBM). Owing to innate advantages for parallelization and resolving complex boundaries, LBM has attained widespread adoption for simulating phenomena such as multiphase flow [6], deformable fluid-filled bodies [7], fluid-structure interaction [8], Phase Change Material Energy Storage [9], fuel cells [10], acoustics [11], combustion applications [12], boiling, and evaporation [13].…”

Section: Introductionmentioning

confidence: 99%

Lattice Boltzmann Simulation of Cavitating Flow in a Two-Dimensional Nozzle with Moving Needle Valve

Yang,

Dai,

Jin

2024

Processes

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A cascaded pseudo-potential lattice Boltzmann model and refilling algorithms for moving boundary treatment were used to simulate the large density ratio cavitating flow in a two-dimensional nozzle with the periodic motion of the needle valve. The relationships between density variation at the cavitation zone, the evolution of force acting on the lower boundary of the sack wall region, and the surface of the needle valve with time under different needle valve motion frequencies were obtained. The results indicate that the inception and evolution of cavitation mainly exist in the vicinity of the lower boundary of the sack wall region. The density at cavitation decreases by approximately three orders of magnitude, while the force on the lower boundary of the sack wall region decreases by about one order of magnitude. Since cavitation does not exist in the vicinity of the needle valve, the forces are mainly influenced by the periodic motion of the needle valve and do not change significantly. Changes in the frequency of needle valve motion affect the time taken for cavitation evolution to reach a relatively steady state but do not significantly affect the forces acting on the different components.

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Progress toward adsorption mechanism exploration method for capacitive deionization: Experimental, mathematical model, computational chemistry and machine learning

Miao,

Gao,

Xiao

et al. 2024

Desalination

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Lattice Boltzmann simulation of deformable fluid-filled bodies: progress and perspectives

Abstract: With the rapid development of studies involving droplet microfluidics, drug delivery, cell detection, and microparticle synthesis, among others, many scientists have invested significant efforts to model the flow of these...

Cited by 7 publications

References 191 publications

Computational analysis of cancer cell adhesion in curved vessels affected by wall shear stress for prediction of metastatic spreading

Computational analysis of cancer cell adhesion in curved vessels affected by wall shear stress for prediction of metastatic spreading

Lattice Boltzmann Simulation of Cavitating Flow in a Two-Dimensional Nozzle with Moving Needle Valve

Progress toward adsorption mechanism exploration method for capacitive deionization: Experimental, mathematical model, computational chemistry and machine learning

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