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Reverse Engineering the Inflammatory "Clock": From Computational Modeling to Rational Resetting.

Yoram Vodovotz1,2

  • 1Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213.

Drug Discovery Today. Disease Models
|January 16, 2018
PubMed
Summary
This summary is machine-generated.

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Computational modeling helps understand complex inflammation dynamics after injury. Integrating data-driven and mechanistic approaches offers insights for precision medicine to reset inflammatory responses.

Area of Science:

  • Immunology and Computational Biology
  • Systems Biology and Bioinformatics

Background:

  • Inflammation is crucial for homeostasis but dysregulated in injury, shock, and wound healing.
  • Complex biological systems like inflammation are challenging to understand from raw data alone.
  • Multiplexed data platforms provide detailed inflammatory insights but can be overwhelming, especially with time-course data.

Purpose of the Study:

  • To explore computational modeling approaches for analyzing complex, dynamic inflammatory responses.
  • To integrate data-driven and mechanistic modeling for a deeper understanding of inflammation.
  • To investigate how computational models can inform precision medicine strategies for inflammation.

Main Methods:

  • Utilizing dynamic approaches for data-driven computational modeling of inflammation.
Keywords:
Inflammationcomputational biologymathematical modelsystems biologytrauma

Related Experiment Videos

  • Employing mechanistic computational modeling to abstract the inflammatory process.
  • Developing integrated models combining data-driven and mechanistic perspectives.

    • Main Results:

    • Computational models provide insights into key drivers, networks, feedbacks, and regulatory switches in inflammation.
    • Mechanistic models create abstracted representations of inflammatory processes, enabling in silico studies.
    • Integrated modeling approaches show promise for understanding critically ill individuals and populations.

    Conclusions:

    • Dynamic computational modeling is essential for deciphering complex inflammatory systems.
    • Integrating data-driven and mechanistic models offers a powerful framework for studying inflammation.
    • Model-driven precision medicine may enable rational resetting of dysregulated inflammation.