About this Research Topic
This Research Topic is to provide a venue for showcasing the concepts, methodology, experimental data, and computational tools associated with multiscale liver modeling. The main challenge in multiscale modeling is to bridge models at different scales. For example, surgical intervention drastically changes perfusion at the organism level, leading to elevated shear stress at the sinusoidal level, which in turn stimulates liver regeneration. Liver diseases progressing over the course of months affect clearance processes at the time scale of hours. Toxic liver injury occurs at the cellular level but affects the circulation of metabolites at the organism level. In addition to models spanning the different scales, integrating cellular and molecular level models and experimental data are the very core of multiscale liver modeling.
The contributions to the Research Topic include Original Research papers, (Mini) Reviews, and Opinions on liver modeling. The specific topics include:
- Blood flow models for large hepatic vessels and/or sinusoids;
- Liver tissue models and virtual lobule models;
- Imaging and image analysis techniques for revealing microstructure and processes at multiple scales;
- Mechanistic factors underlying liver diseases (e.g., steatosis, fibrosis, cirrhosis, cancer)
Projects at the interface of Biomechanics and Computational Biology can also be considered, including:
- Drug uptake, metabolism, and clearance models;
- Numerical/mathematical methods for bridging models at different temporal and spatial scales;
- Application of Systems Biology and Physiome to multiscale liver modeling.
Keywords: Multiscale Modeling, Liver Modeling, Hepatic Processes, Liver Tissue
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.