• DocumentCode
    3177664
  • Title

    Modeling Circadian Rhythms in Inflammation

  • Author

    Scheff, Jeremy D. ; Androulakis, Ioannis P. ; Calvano, Steve E. ; Lowry, Stephen F.

  • Author_Institution
    Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
  • fYear
    2010
  • fDate
    May 31 2010-June 3 2010
  • Firstpage
    197
  • Lastpage
    202
  • Abstract
    Due to the inherent complexities involved in understanding a redundant, non-linear process like inflammation, systems biology modeling approaches have been proposed. While these models have produced encouraging results, they do not take into account the circadian nature of many of their components. Circadian rhythms are daily variations in a wide number of biological processes, including many of the hormones and cytokines responsible for the regulation of inflammation. Thus, to work towards the development of a more complete and useful model of inflammation, we extend previous modeling efforts by incorporating important interactions that give rise to circadian variability in inflammation. This is predicated on the assumption that hormones regulated by the central circadian pacemaker ultimately govern diurnal variations in the inflammatory response. The model is then used to simulate a normal resting state, a healthy self-limited inflammatory response, and an unresolved inflammatory response, by analyzing how these responses change throughout the day, clinically-relevant insight is gained.
  • Keywords
    cellular biophysics; circadian rhythms; molecular biophysics; neurophysiology; pacemakers; physiological models; biological processes; circadian pacemaker; circadian rhythms; circadian variability; cytokines; diurnal variations; healthy self-limited inflammatory response; hormones; inflammation; inflammatory response; inherent complexities; nonlinear process; resting state; Biochemistry; Biological processes; Biological system modeling; Biomedical engineering; Circadian rhythm; Computational modeling; Mathematical model; Power system modeling; Systems biology; USA Councils; PK/PD modeling; Systems biology; circadian rhythms; inflammation; signaling and regulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4244-7494-3
  • Type

    conf

  • DOI
    10.1109/BIBE.2010.39
  • Filename
    5521689