Abstract

Liver fibrosis is a result of homeostasis breakdown caused by repetitive injury. The accumulation of collagens disrupts liver structure and function, which causes serious consequences such as cirrhosis. Various mathematical simulation models have been developed to understand these complex processes. We employed the agent-based modelling (ABM) approach and implemented inflammatory processes in central venous regions. Collagens were individually modelled and visualised depending on their origin: myofibroblast and portal fibroblast. Our simulation showed that the administration of toxic compounds induced accumulation of myofibroblast-derived collagens in central venous regions and portal fibroblast-derived collagens in portal areas. Subsequently, these collagens were bridged between central-central areas and spread all over areas. We confirmed the consistent dynamic behaviour of collagen formulation in our simulation and from histological sections obtained via in vivo experiments. Sensitivity analyses identified dead hepatocytes caused by inflammation and the ratio of residential liver cells functioned as a cornerstone for the initiation and progression of liver fibrosis. The validated mathematical model demonstrated here shows virtual experiments that are complementary to biological experiments, which contribute to understanding a new mechanism of liver fibrosis.

Details

Title
Computational simulation of liver fibrosis dynamics
Author
Yoshizawa, Misa 1 ; Sugimoto, Masahiro 2   VIAFID ORCID Logo  ; Tanaka, Minoru 3 ; Sakai, Yusuyuki 1 ; Nishikawa, Masaki 1 

 University of Tokyo, Department of Chemical System Engineering, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 Tokyo Medical University, Institute of Medical Science, Tokyo, Japan (GRID:grid.410793.8) (ISNI:0000 0001 0663 3325); Keio University, Institute for Advanced Biosciences, Yamagata, Japan (GRID:grid.26091.3c) (ISNI:0000 0004 1936 9959) 
 National Centre for Global Health and Medicine, Department of Regenerative Medicine, Research Institute, Tokyo, Japan (GRID:grid.26091.3c) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2703692737
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.