Translational applications of evaluating physiologic variability in human endotoxemia

Jeremy D. Scheff, Panteleimon D. Mavroudis, Steve E. Calvano, Ioannis P. Androulakis

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Dysregulation of the inflammatory response is a critical component of many clinically challenging disorders such as sepsis. Inflammation is a biological process designed to lead to healing and recovery, ultimately restoring homeostasis; however, the failure to fully achieve those beneficial results can leave a patient in a dangerous persistent inflammatory state. One of the primary challenges in developing novel therapies in this area is that inflammation is comprised of a complex network of interacting pathways. Here, we discuss our approaches towards addressing this problem through computational systems biology, with a particular focus on how the presence of biological rhythms and the disruption of these rhythms in inflammation may be applied in a translational context. By leveraging the information content embedded in physiologic variability, ranging in scale from oscillations in autonomic activity driving short-term heart rate variability to circadian rhythms in immunomodulatory hormones, there is significant potential to gain insight into the underlying physiology.

Original languageEnglish (US)
Pages (from-to)405-415
Number of pages11
JournalJournal of Clinical Monitoring and Computing
Volume27
Issue number4
DOIs
StatePublished - Aug 2013

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Critical Care and Intensive Care Medicine
  • Anesthesiology and Pain Medicine

Keywords

  • Circadian rhythms
  • Cortisol
  • Decomplexification
  • Heart rate variability
  • Systemic inflammation

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