Yoram Vodovotz1, Timothy R Billiar. 1. Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA. vodovotzy@upmc.edu
Abstract
OBJECTIVES: To familiarize clinicians with advances in computational disease modeling applied to trauma and sepsis. DATA SOURCES: PubMed search and review of relevant medical literature. SUMMARY: Definitions, key methods, and applications of computational modeling to trauma and sepsis are reviewed. CONCLUSIONS: Computational modeling of inflammation and organ dysfunction at the cellular, organ, whole-organism, and population levels has suggested a positive feedback cycle of inflammation → damage → inflammation that manifests via organ-specific inflammatory switching networks. This structure may manifest as multicompartment "tipping points" that drive multiple organ dysfunction. This process may be amenable to rational inflammation reprogramming.
OBJECTIVES: To familiarize clinicians with advances in computational disease modeling applied to trauma and sepsis. DATA SOURCES: PubMed search and review of relevant medical literature. SUMMARY: Definitions, key methods, and applications of computational modeling to trauma and sepsis are reviewed. CONCLUSIONS: Computational modeling of inflammation and organ dysfunction at the cellular, organ, whole-organism, and population levels has suggested a positive feedback cycle of inflammation → damage → inflammation that manifests via organ-specific inflammatory switching networks. This structure may manifest as multicompartment "tipping points" that drive multiple organ dysfunction. This process may be amenable to rational inflammation reprogramming.
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