TAILIEUCHUNG - Báo cáo y học: " Agent-based dynamic knowledge representation of Pseudomonas aeruginosa virulence activation in the stressed gut: Towards characterizing hostpathogen interactions in gut-derived sepsis"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài:Agent-based dynamic knowledge representation of Pseudomonas aeruginosa virulence activation in the stressed gut: Towards characterizing hostpathogen interactions in gut-derived sepsis | Seal et al. Theoretical Biology and Medical Modelling 2011 8 33 http content 8 1 33 THEORETICAL BIOLOGY AND MEDICAL MODELLING RESEARCH Open Access Agent-based dynamic knowledge representation of Pseudomonas aeruginosa virulence activation in the stressed gut Towards characterizing hostpathogen interactions in gut-derived sepsis John B Seal John C Alverdy Olga Zaborina and Gary An Correspondence docgca@gmail. com Department of Surgery University of Chicago 5841 South Maryland Ave. MC 5031 Chicago IL 60637 USA 2 BioMed Central Abstract Background There is a growing realization that alterations in host-pathogen interactions HPI can generate disease phenotypes without pathogen invasion. The gut represents a prime region where such HPI can arise and manifest. Under normal conditions intestinal microbial communities maintain a stable mutually beneficial ecosystem. However host stress can lead to changes in environmental conditions that shift the nature of the host-microbe dialogue resulting in escalation of virulence expression immune activation and ultimately systemic disease. Effective modulation of these dynamics requires the ability to characterize the complexity of the HPI and dynamic computational modeling can aid in this task. Agent-based modeling is a computational method that is suited to representing spatially diverse dynamical systems. We propose that dynamic knowledge representation of gut HPI with agentbased modeling will aid in the investigation of the pathogenesis of gut-derived sepsis. Methodology Principal Findings An agent-based model ABM of virulence regulation in Pseudomonas aeruginosa was developed by translating bacterial and host cell sense-and-response mechanisms into behavioral rules for computational agents and integrated into a virtual environment representing the host-microbe interface in the gut. The resulting gut milieu ABM GMABM was used to 1 investigate a potential clinically relevant laboratory experimental condition not .

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