Translational systems biology of inflammation

Inflammation is a complex, multi-scale biologic response to stress that is also required for repair and regeneration after injury. Despite the repository of detailed data about the cellular and molecular processes involved in inflammation, including some understanding of its pathophysiology, little...

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Veröffentlicht in:PLoS computational biology 2008-04, Vol.4 (4), p.e1000014-e1000014
Hauptverfasser: Vodovotz, Yoram, Csete, Marie, Bartels, John, Chang, Steven, An, Gary
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container_title PLoS computational biology
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creator Vodovotz, Yoram
Csete, Marie
Bartels, John
Chang, Steven
An, Gary
description Inflammation is a complex, multi-scale biologic response to stress that is also required for repair and regeneration after injury. Despite the repository of detailed data about the cellular and molecular processes involved in inflammation, including some understanding of its pathophysiology, little progress has been made in treating the severe inflammatory syndrome of sepsis. To address the gap between basic science knowledge and therapy for sepsis, a community of biologists and physicians is using systems biology approaches in hopes of yielding basic insights into the biology of inflammation. "Systems biology" is a discipline that combines experimental discovery with mathematical modeling to aid in the understanding of the dynamic global organization and function of a biologic system (cell to organ to organism). We propose the term translational systems biology for the application of similar tools and engineering principles to biologic systems with the primary goal of optimizing clinical practice. We describe the efforts to use translational systems biology to develop an integrated framework to gain insight into the problem of acute inflammation. Progress in understanding inflammation using translational systems biology tools highlights the promise of this multidisciplinary field. Future advances in understanding complex medical problems are highly dependent on methodological advances and integration of the computational systems biology community with biologists and clinicians.
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subjects Animals
Bioinformatics
Biology
Biomedical research
Biotechnology
Clinical trials
Computational Biology/Systems Biology
Computer Simulation
Cytokines - immunology
Disease
Experiments
Genomics
Humans
Immunity, Innate - immunology
Immunologic Factors - immunology
Immunology/Immune Response
Immunology/Immunity to Infections
Immunology/Innate Immunity
Inflammation - immunology
Mathematical models
Models, Immunological
Physiology/Immune Response
Physiology/Immunity to Infections
Review
Sepsis
Statistical methods
Studies
Syntax
Systems Biology - methods
Tissue engineering
title Translational systems biology of inflammation
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