Abstract
Gut inflammation plays a crucial role in a host of disease processes, most notably in inflammatory bowel disease (IBD) and gut derived sepsis. The gut is also the primary interface between an individual’s microbiome and the host, where appropriate equipoise of mucosal inflammatory potential is a critical goal. The architecture and histological structure of the gut mucosa remains a primary means of diagnosing different gastrointestinal diseases, and as such, computational representations with a translational goal should be able to replicate, at least to some degree, the alterations of gut mucosal architecture resulting from different pathophysiological processes. Given that gut inflammation forms the common pathway by which a host of different disease processes can manifest, we propose that a translationally useful computational representation of gut inflammation should be able to generate these different disease processes through different perturbations on a common, underlying model (as is the case in the real world). To that end we have developed the Spatially Explicit General-purpose Model of Enteric Tissue (SEGMEnT) as a common, unifying platform with which to examine how different perturbations and disorders can lead to a range of recognized pathophysiologic phenotypes. We have additionally expanded SEGMEnT to a high-performance computing (HPC) version that gives the capability to simulate billions of cells and achieve anatomic-scale representation.
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Abbreviations
- ABM:
-
Agent-based model
- Akt:
-
Protein kinase B
- BMP:
-
Bone morphogenetic protein
- GEC:
-
Gut epithelial cell
- Hh:
-
Sonic hedgehog homolog
- HPC:
-
High-performance computing
- IBD:
-
Inflammatory bowel disease
- I-FABP:
-
Intestinal fatty acid binding protein
- PTEN/PI3K:
-
Phosphatase and tensin homolog/Phosphoinositide 3-kinase
- RIP:
-
Receptor interacting protein kinase
- SEGMEnT:
-
Spatially explicit general-purpose model of enteric tissue
- TLR:
-
Toll-like receptor
- Wnt:
-
Wingless-related integration site
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Cockrell, C., An, G. (2021). Multiscale and Tissue Realistic Translational Modeling of Gut Inflammation. In: Vodovotz, Y., An, G. (eds) Complex Systems and Computational Biology Approaches to Acute Inflammation. Springer, Cham. https://doi.org/10.1007/978-3-030-56510-7_13
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