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Complex Systems and Computational Biology Approaches to Acute Inflammation

  • Book
  • © 2013

Overview

Editors:
  1. Yoram Vodovotz

    1. University of Pittsburgh Inflammation and Regenerative Modeling, Pittsburgh, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Gary An

    1. University of Chicago Medical Center MC 5094, Chicago, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Provides an overview of the need for Translational Systems Biology of inflammation

  • Examines future perspectives of translational modeling and its implementation

  • Reviews the current state of complex systems and computational biology and its relation to inflammation

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xi
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  2. An Overview of the Translational Dilemma and the Need for Translational Systems Biology of Inflammation

    • Yoram Vodovotz, Gary An
    Pages 1-7

  3. Complex Systems Methods and Applications

    1. Front Matter

      Pages 9-9
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    2. Translational Equation-Based Modeling

      • Gilles Clermont
      Pages 11-28

    3. Agent-Based Modeling in Translational Systems Biology

      • Scott Christley, Gary An
      Pages 29-49

    4. Analysis of Heart Rate Variability

      • Patrick R. Norris
      Pages 51-77

    5. Analysis of Ventilatory Pattern Variability

      • Thomas E. Dick, Rishi R. Dhingra, Yee-Hsee Hsieh, Mikkel Fishman, Farhad Kaffashi, Kenneth A. Loparo et al.
      Pages 79-99

  4. Translational Modeling of Sepsis and Trauma

    1. Front Matter

      Pages 101-101
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    2. Disorder of Systemic Inflammation in Sepsis and Trauma: A Systems Perspective

      • Kent R. Zettel II, Timothy R. Billiar
      Pages 103-124

    3. Multiscale Equation-Based Models: Insights for Inflammation and Physiological Variability

      • Jeremy D. Scheff, Steve E. Calvano, Ioannis P. Androulakis
      Pages 125-141

    4. Integrating Data-Driven and Mechanistic Models of the Inflammatory Response in Sepsis and Trauma

      • Nabil Azhar, Qi Mi, Cordelia Ziraldo, Marius Buliga, Gregory M. Constantine, Yoram Vodovotz
      Pages 143-157

    5. In Silico Trials and Personalized Therapy for Sepsis and Trauma

      • Yoram Vodovotz, John Bartels, Gary An
      Pages 159-170

  5. Translational Modeling of Wound Healing

    1. Front Matter

      Pages 171-171
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    2. Disorder of Localized Inflammation in Wound Healing: A Systems Perspective

      • Sashwati Roy, Amitava Das, Chandan K. Sen
      Pages 173-183

    3. Equation-Based Models of Wound Healing and Collective Cell Migration

      • Julia Arciero, David Swigon
      Pages 185-207

    4. Agent-Based Models of Wound Healing

      • Jordan R. Stern, Cordelia Ziraldo, Yoram Vodovotz, Gary An
      Pages 209-228

  6. Translational Modeling of Host-Pathogen Interactions

    1. Front Matter

      Pages 229-229
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    2. Modeling Host–Pathogen Interactions in Necrotizing Enterocolitis

      • Julia Arciero, Jared Barber, Moses Kim
      Pages 231-264

    3. Modeling Host–Vector–Pathogen Immuno-inflammatory Interactions in Malaria

      • Yoram Vodovotz, Nabil Azhar, Natasa Miskov-Zivanov, Marius Buliga, Ruben Zamora, Bard Ermentrout et al.
      Pages 265-279

  7. Future Perspectives: Translation to Implementation

    1. Front Matter

      Pages 281-281
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Keywords

About this book

The difficulty in achieving effective translation of basic mechanistic biomedical knowledge into effective therapeutics, is the greatest challenge in biomedical research. Nowhere is this more apparent than in the reductionist approaches to understanding and manipulating the acute inflammatory response in the settings of sepsis, trauma/hemorrhage, wound healing, and related processes. This book discusses complex systems and computational biology methods and approaches that have advanced sufficiently to allow for knowledge generation, knowledge integration, and clinical translation in the settings of complex diseases related to the inflammatory response. Well-regulated, self-resolving inflammation is necessary for the appropriate communication and resolution of infection and trauma, and for maintenance of proper physiology and homeostasis. In contrast, self-sustaining inflammation drives the pathobiology of the aforementioned diseases. It is now increasingly recognized that controlling and reprogramming inflammation in order to reap the benefits of this evolutionarily-conserved process is preferred to simply abolishing indiscriminately.

Editors and Affiliations

  • University of Pittsburgh Inflammation and Regenerative Modeling, Pittsburgh, USA

    Yoram Vodovotz

  • University of Chicago Medical Center MC 5094, Chicago, USA

    Gary An

Bibliographic Information

  • Book Title: Complex Systems and Computational Biology Approaches to Acute Inflammation

  • Editors: Yoram Vodovotz, Gary An

  • DOI: https://doi.org/10.1007/978-1-4614-8008-2

  • Publisher: Springer New York, NY

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Science+Business Media New York 2013

  • Hardcover ISBN: 978-1-4614-8007-5Published: 15 August 2013

  • eBook ISBN: 978-1-4614-8008-2Published: 15 August 2013

  • Edition Number: 1

  • Number of Pages: XI, 291

  • Topics: Systems Biology, Immunology, Biomedicine general

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