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Computational modeling of mucosal immune responses to Clostridium difficile infection.

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posted on 11.10.2012 by Monica Viladomiu, Raquel Hontecillas, Mireia Pedragosa, Adria Carbo, Stefan Hoops, Pawel Michalak, Katarzyna Michalak, Richard L. Guerrant, James K. Roche, Cirle A. Warren, Josep Bassaganya-Riera

CellDesigner-based illustration of the Complex Pathway SImulator model of the model for Clostridium difficile immune response (A). The model represents the interaction between C. difficile, miRNA-146, nuclear receptor coactivator 4 (NCOA4), peroxisome proliferator-activated receptor γ (PPAR γ), interleukin 10 (IL-10) and interleukin 17 (IL-17) in Systems Biology Markup Language format. Inhibition is represented in red and activation in green. COPASI steady state scan showing the variation on the species concentrations with increasing computational concentration of C. difficile (B). In silico simulations show how increasing concentrations of C. difficile increase miRNA-146b levels, thus decreasing NCOA4 and PPAR γ. In line with the experimental data, IL-17 expression also increases with the infection.