An Agent-Based Model of a Hepatic Inflammatory Response to Salmonella: A Computational Study under a Large Set of Experimental Data
Authored by Zhenzhen Shi, Stephen K Chapes, David Ben-Arieh, Chih-Hang Wu
Date Published: 2016
DOI: 10.1371/journal.pone.0161131
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Mathematical description
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Abstract
We present an agent-based model (ABM) to simulate a hepatic inflammatory
response (HIR) in a mouse infected by Salmonella that sometimes
progressed to problematic proportions, known as ``sepsis{''}. Based on
over 200 published studies, this ABM describes interactions among 21
cells or cytokines and incorporates 226 experimental data sets and/or
data estimates from those reports to simulate a mouse HIR in silico. Our
simulated results reproduced dynamic patterns of HIR reported in the
literature. As shown in vivo, our model also demonstrated that sepsis
was highly related to the initial Salmonella dose and the presence of
components of the adaptive immune system. We determined that high
mobility group box-1, C-reactive protein, and the interleukin-10: tumor
necrosis factor-a ratio, and CD4+ T cell: CD8+ T cell ratio, all
recognized as biomarkers during HIR, significantly correlated with
outcomes of HIR. During therapy-directed silico simulations, our results
demonstrated that anti-agent intervention impacted the survival rates of
septic individuals in a time-dependent manner. By specifying the
infected species, source of infection, and site of infection, this ABM
enabled us to reproduce the kinetics of several essential indicators
during a HIR, observe distinct dynamic patterns that are manifested
during HIR, and allowed us to test proposed therapy-directed treatments.
Although limitation still exists, this ABM is a step forward because it
links underlying biological processes to computational simulation and
was validated through a series of comparisons between the simulated
results and experimental studies.
Tags
Clinical-trials
Tumor-necrosis-factor
C-reactive protein
Mobility group box-1
Neutrophil extracellular traps
Intrahepatic mast-cells
Septic shock
Severe sepsis
Kupffer cells
Factor-alpha