A computational algorithm for optimal design of a bioartificial organ scaffold architecture.
We develop a computational algorithm based on a diffuse interface approach to study the design of bioartificial organ scaffold architectures. These scaffolds, composed of poroelastic hydrogels housing transplanted cells, are linked to the patient's blood circulation via an anastomosis graft. Be...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-11-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012079 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850270171188428800 |
|---|---|
| author | Martina Bukač Sunčica Čanić Boris Muha Yifan Wang |
| author_facet | Martina Bukač Sunčica Čanić Boris Muha Yifan Wang |
| author_sort | Martina Bukač |
| collection | DOAJ |
| description | We develop a computational algorithm based on a diffuse interface approach to study the design of bioartificial organ scaffold architectures. These scaffolds, composed of poroelastic hydrogels housing transplanted cells, are linked to the patient's blood circulation via an anastomosis graft. Before entering the scaffold, the blood flow passes through a filter, and the resulting filtered blood plasma transports oxygen and nutrients to sustain the viability of transplanted cells over the long term. A key issue in maintaining cell viability is the design of ultrafiltrate channels within the hydrogel scaffold to facilitate advection-enhanced oxygen supply ensuring oxygen levels remain above a critical threshold to prevent hypoxia. In this manuscript, we develop a computational algorithm to analyze the plasma flow and oxygen concentration within hydrogels featuring various channel geometries. Our objective is to identify the optimal hydrogel channel architecture that sustains oxygen concentration throughout the scaffold above the critical hypoxic threshold. The computational algorithm we introduce here employs a diffuse interface approach to solve a multi-physics problem. The corresponding model couples the time-dependent Stokes equations, governing blood plasma flow through the channel network, with the time-dependent Biot equations, characterizing Darcy velocity, pressure, and displacement within the poroelastic hydrogel containing the transplanted cells. Subsequently, the calculated plasma velocity is utilized to determine oxygen concentration within the scaffold using a diffuse interface advection-reaction-diffusion model. Our investigation yields a scaffold architecture featuring a hexagonal network geometry that meets the desired oxygen concentration criteria. Unlike classical sharp interface approaches, the diffuse interface approach we employ is particularly adept at addressing problems with intricate interface geometries, such as those encountered in bioartificial organ scaffold design. This study is significant because recent developments in hydrogel fabrication make it now possible to control hydrogel rheology and utilize computational results to generate optimized scaffold architectures. |
| format | Article |
| id | doaj-art-97b9f8e903b64b01836634bd37c9ef2e |
| institution | OA Journals |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-97b9f8e903b64b01836634bd37c9ef2e2025-08-20T01:52:45ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582024-11-012011e101207910.1371/journal.pcbi.1012079A computational algorithm for optimal design of a bioartificial organ scaffold architecture.Martina BukačSunčica ČanićBoris MuhaYifan WangWe develop a computational algorithm based on a diffuse interface approach to study the design of bioartificial organ scaffold architectures. These scaffolds, composed of poroelastic hydrogels housing transplanted cells, are linked to the patient's blood circulation via an anastomosis graft. Before entering the scaffold, the blood flow passes through a filter, and the resulting filtered blood plasma transports oxygen and nutrients to sustain the viability of transplanted cells over the long term. A key issue in maintaining cell viability is the design of ultrafiltrate channels within the hydrogel scaffold to facilitate advection-enhanced oxygen supply ensuring oxygen levels remain above a critical threshold to prevent hypoxia. In this manuscript, we develop a computational algorithm to analyze the plasma flow and oxygen concentration within hydrogels featuring various channel geometries. Our objective is to identify the optimal hydrogel channel architecture that sustains oxygen concentration throughout the scaffold above the critical hypoxic threshold. The computational algorithm we introduce here employs a diffuse interface approach to solve a multi-physics problem. The corresponding model couples the time-dependent Stokes equations, governing blood plasma flow through the channel network, with the time-dependent Biot equations, characterizing Darcy velocity, pressure, and displacement within the poroelastic hydrogel containing the transplanted cells. Subsequently, the calculated plasma velocity is utilized to determine oxygen concentration within the scaffold using a diffuse interface advection-reaction-diffusion model. Our investigation yields a scaffold architecture featuring a hexagonal network geometry that meets the desired oxygen concentration criteria. Unlike classical sharp interface approaches, the diffuse interface approach we employ is particularly adept at addressing problems with intricate interface geometries, such as those encountered in bioartificial organ scaffold design. This study is significant because recent developments in hydrogel fabrication make it now possible to control hydrogel rheology and utilize computational results to generate optimized scaffold architectures.https://doi.org/10.1371/journal.pcbi.1012079 |
| spellingShingle | Martina Bukač Sunčica Čanić Boris Muha Yifan Wang A computational algorithm for optimal design of a bioartificial organ scaffold architecture. PLoS Computational Biology |
| title | A computational algorithm for optimal design of a bioartificial organ scaffold architecture. |
| title_full | A computational algorithm for optimal design of a bioartificial organ scaffold architecture. |
| title_fullStr | A computational algorithm for optimal design of a bioartificial organ scaffold architecture. |
| title_full_unstemmed | A computational algorithm for optimal design of a bioartificial organ scaffold architecture. |
| title_short | A computational algorithm for optimal design of a bioartificial organ scaffold architecture. |
| title_sort | computational algorithm for optimal design of a bioartificial organ scaffold architecture |
| url | https://doi.org/10.1371/journal.pcbi.1012079 |
| work_keys_str_mv | AT martinabukac acomputationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture AT suncicacanic acomputationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture AT borismuha acomputationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture AT yifanwang acomputationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture AT martinabukac computationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture AT suncicacanic computationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture AT borismuha computationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture AT yifanwang computationalalgorithmforoptimaldesignofabioartificialorganscaffoldarchitecture |