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Translational Systems Biology of Inflammation

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  • Yoram Vodovotz
  • Marie Csete
  • John Bartels
  • Steven Chang
  • Gary An

Abstract

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.

Suggested Citation

  • Yoram Vodovotz & Marie Csete & John Bartels & Steven Chang & Gary An, 2008. "Translational Systems Biology of Inflammation," PLOS Computational Biology, Public Library of Science, vol. 4(4), pages 1-6, April.
  • Handle: RePEc:plo:pcbi00:1000014
    DOI: 10.1371/journal.pcbi.1000014
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    References listed on IDEAS

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    1. Mark Gilchrist & Vesteinn Thorsson & Bin Li & Alistair G. Rust & Martin Korb & Kathleen Kennedy & Tsonwin Hai & Hamid Bolouri & Alan Aderem, 2006. "Systems biology approaches identify ATF3 as a negative regulator of Toll-like receptor 4," Nature, Nature, vol. 441(7090), pages 173-178, May.
    2. Steve E. Calvano & Wenzhong Xiao & Daniel R. Richards & Ramon M. Felciano & Henry V. Baker & Raymond J. Cho & Richard O. Chen & Bernard H. Brownstein & J. Perren Cobb & S. Kevin Tschoeke & Carol Mille, 2005. "A network-based analysis of systemic inflammation in humans," Nature, Nature, vol. 437(7061), pages 1032-1037, October.
    3. Timothy G. Buchman, 2002. "The community of the self," Nature, Nature, vol. 420(6912), pages 246-251, November.
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    Cited by:

    1. Cordelia Ziraldo & Yoram Vodovotz & Rami A Namas & Khalid Almahmoud & Victor Tapias & Qi Mi & Derek Barclay & Bahiyyah S Jefferson & Guoqiang Chen & Timothy R Billiar & Ruben Zamora, 2013. "Central Role for MCP-1/CCL2 in Injury-Induced Inflammation Revealed by In Vitro, In Silico, and Clinical Studies," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-18, December.
    2. Nabil Azhar & Cordelia Ziraldo & Derek Barclay & David A Rudnick & Robert H Squires & Yoram Vodovotz & for the Pediatric Acute Liver Failure Study Group, 2013. "Analysis of Serum Inflammatory Mediators Identifies Unique Dynamic Networks Associated with Death and Spontaneous Survival in Pediatric Acute Liver Failure," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-8, November.
    3. Rami A Namas & John Bartels & Rosemary Hoffman & Derek Barclay & Timothy R Billiar & Ruben Zamora & Yoram Vodovotz, 2013. "Combined In Silico, In Vivo, and In Vitro Studies Shed Insights into the Acute Inflammatory Response in Middle-Aged Mice," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    4. Qi Mi & Gregory Constantine & Cordelia Ziraldo & Alexey Solovyev & Andres Torres & Rajaie Namas & Timothy Bentley & Timothy R Billiar & Ruben Zamora & Juan Carlos Puyana & Yoram Vodovotz, 2011. "A Dynamic View of Trauma/Hemorrhage-Induced Inflammation in Mice: Principal Drivers and Networks," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-12, May.

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