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Agent-Based Modeling of Endotoxin-Induced Acute Inflammatory Response in Human Blood Leukocytes

Summary: Agent-Based Modeling of Endotoxin-Induced Acute
Inflammatory Response in Human Blood Leukocytes
Xu Dong1
, Panagiota T. Foteinou1
, Steven E. Calvano2
, Stephen F. Lowry2
, Ioannis P. Androulakis1
1 Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey, United States of America, 2 Department of Surgery, University of Medicine and
Dentristry of New Jersey Robert Wood Johnson Medical School, New Brunswick, New Jersey, United States of America
Background: Inflammation is a highly complex biological response evoked by many stimuli. A persistent challenge in
modeling this dynamic process has been the (nonlinear) nature of the response that precludes the single-variable
assumption. Systems-based approaches offer a promising possibility for understanding inflammation in its homeostatic
context. In order to study the underlying complexity of the acute inflammatory response, an agent-based framework is
developed that models the emerging host response as the outcome of orchestrated interactions associated with intricate
signaling cascades and intercellular immune system interactions.
Methodology/Principal Findings: An agent-based modeling (ABM) framework is proposed to study the nonlinear dynamics
of acute human inflammation. The model is implemented using NetLogo software. Interacting agents involve either
inflammation-specific molecules or cells essential for the propagation of the inflammatory reaction across the system.


Source: Androulakis, Ioannis (Yannis) - Biomedical Engineering Department & Department of Chemical and Biochemical Engineering, Rutgers University


Collections: Engineering; Biology and Medicine