Extended modelling of the multiphasic human brain tissue with application to drug-infusion processes

Wagner, Anne

doi:10.18419/opus-531

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…The Helmholtz free energy function for the microscopic components ψ Fβ F is applied according to Acartürk (2009), Ehlers (2009) and Wagner (2014). The chemical potential µ Fβ is obtained by the derivation of the ansatz with respect to the process variable c (60)…”

Section: Stresses and Interaction Forcesmentioning

confidence: 99%

“…The approach includes the general gas constant R, the temperature of the mixture θ and the constant standard potential µ Fβ 0 . Analogous to Acartürk (2009), Ehlers (2009), Bowen (1980Bowen ( , 1976 and Wagner (2014), we can distinguish between osmotic pressure Π, resulting in the stress of the external concentrations (65) The restrictions for the interaction forces enable the draft of a constitutive law for the filter velocity. First, we focus on the flux of the external concentrations w FβS , that consist of miscible components solved within the fluid.…”

Section: Stresses and Interaction Forcesmentioning

confidence: 99%

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Quantifying Fat Zonation in Liver Lobules: An IntegratedMultiscale In-silico Model Combining DisturbedMicroperfusion and Fat Metabolism via aContinuum-Biomechanical Bi-scale, Tri-phasic Approach

Lambers,

Waschinsky,

Schleicher

et al. 2023

Preprint

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Metabolic zonation refers to the spatial separation of metabolic functions along thesinusoidal axes of the liver. This phenomenon forms the foundation for adjusting hepaticmetabolism to physiological requirements in health and disease (e.g. metabolicdysfunction-associated steatotic liver disease/ MASLD). Zonated metabolic functions areinfluenced by zonal morphological abnormalities in the liver, such as periportal fibrosisand pericentral steatosis. We aim to analyze the interplay between microperfusion,oxygen gradient, fat metabolism and resulting zonated fat accumulation in a liver lobule.Therefore we developed a continuum-biomechanical, tri-phasic, bi-scale, and multicomponent insilicomodel, which allows to numerically simulate coupled perfusion-function-growth interactionstwo-dimensionally in liver lobules. The developed homogenized model has the following specifications:i) thermodynamically consistent, ii) tri-phase model (tissue, fat, blood), iii) penta-substances(glycogen, glucose, lactate, FFA, oxygen), and iv) bi-scale approach (lobule, cell). Our presentedin-silico model accounts for the mutual coupling between spatial and time-dependent liver perfusion,metabolic pathways and fat accumulation. The model thus allows the prediction of fatdevelopment in the liver lobule, depending on perfusion, oxygen and plasma concentration offree fatty acids (FFA), oxidative processes, the synthesis and the secretion of triglycerides (TGs).The use of a bi-scale approach allows in addition to focus on scale bridging processes. Thus,we will investigate how changes at the cellular scale affect perfusion at the lobular scale andvice versa. This allows to predict the zonation of fat distribution (periportal or pericentral)depending on initial conditions, as well as external and internal boundary value conditions.

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Section: Stresses and Interaction Forcesmentioning

confidence: 99%

Section: Stresses and Interaction Forcesmentioning

confidence: 99%

Quantifying Fat Zonation in Liver Lobules: An IntegratedMultiscale In-silico Model Combining DisturbedMicroperfusion and Fat Metabolism via aContinuum-Biomechanical Bi-scale, Tri-phasic Approach

Lambers,

Waschinsky,

Schleicher

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Quantifying fat zonation in liver lobules: an integrated multiscale in silico model combining disturbed microperfusion and fat metabolism via a continuum biomechanical bi-scale, tri-phasic approach

Lambers,

Waschinsky,

Schleicher

et al. 2024

Biomech Model Mechanobiol

View full text Add to dashboard Cite

Metabolic zonation refers to the spatial separation of metabolic functions along the sinusoidal axes of the liver. This phenomenon forms the foundation for adjusting hepatic metabolism to physiological requirements in health and disease (e.g., metabolic dysfunction-associated steatotic liver disease/MASLD). Zonated metabolic functions are influenced by zonal morphological abnormalities in the liver, such as periportal fibrosis and pericentral steatosis. We aim to analyze the interplay between microperfusion, oxygen gradient, fat metabolism and resulting zonated fat accumulation in a liver lobule. Therefore we developed a continuum biomechanical, tri-phasic, bi-scale, and multicomponent in silico model, which allows to numerically simulate coupled perfusion-function-growth interactions two-dimensionally in liver lobules. The developed homogenized model has the following specifications: (i) thermodynamically consistent, (ii) tri-phase model (tissue, fat, blood), (iii) penta-substances (glycogen, glucose, lactate, FFA, and oxygen), and (iv) bi-scale approach (lobule, cell). Our presented in silico model accounts for the mutual coupling between spatial and time-dependent liver perfusion, metabolic pathways and fat accumulation. The model thus allows the prediction of fat development in the liver lobule, depending on perfusion, oxygen and plasma concentration of free fatty acids (FFA), oxidative processes, the synthesis and the secretion of triglycerides (TGs). The use of a bi-scale approach allows in addition to focus on scale bridging processes. Thus, we will investigate how changes at the cellular scale affect perfusion at the lobular scale and vice versa. This allows to predict the zonation of fat distribution (periportal or pericentral) depending on initial conditions, as well as external and internal boundary value conditions.

show abstract

Extended modelling of the multiphasic human brain tissue with application to drug-infusion processes

Cited by 2 publications

References 12 publications

Quantifying Fat Zonation in Liver Lobules: An IntegratedMultiscale In-silico Model Combining DisturbedMicroperfusion and Fat Metabolism via aContinuum-Biomechanical Bi-scale, Tri-phasic Approach

Quantifying Fat Zonation in Liver Lobules: An IntegratedMultiscale In-silico Model Combining DisturbedMicroperfusion and Fat Metabolism via aContinuum-Biomechanical Bi-scale, Tri-phasic Approach

Quantifying fat zonation in liver lobules: an integrated multiscale in silico model combining disturbed microperfusion and fat metabolism via a continuum biomechanical bi-scale, tri-phasic approach

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