Library Subscription: Guest
Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections
Critical Reviews™ in Biomedical Engineering

ISSN Print: 0278-940X
ISSN Online: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.v40.i4.60
pages 313-322

Modeling Physiologic Variability in Human Endotoxemia

Jeremy D. Scheff
Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854
Panteleimon D. Mavroudis
Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ 08854
Panagiota T. Foteinou
Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854
Steve E. Calvano
Department of Surgery, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ
Ioannis P. Androulakis
Chemical and Biochemical Engineering Department, Rutgers University, Piscataway, New Jersey; Biomedical Engineering Department, Rutgers University, Piscataway, New Jersey; Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey

ABSTRACT

The control and management of inflammation is a key aspect of clinical care for critical illnesses such as sepsis. In an ideal reaction to injury, the inflammatory response provokes a strong enough response to heal the injury and then restores homeostasis. When inflammation becomes dysregulated, a persistent inflammatory state can lead to significant deleterious effects and clinical challenges. Thus, gaining a better biological understanding of the mechanisms driving the inflammatory response is of the utmost importance. In this review, we discuss our work with the late Stephen F. Lowry to investigate systemic inflammation through systems biology of human endotoxemia. We present our efforts in modeling the human endotoxemia response with a particular focus on physiologic variability. Through modeling, with a focus ultimately on translational applications, we obtain more fundamental understanding of relevant physiological processes. And by taking advantage of the information embedded in biological rhythms, ranging in time scale from high-frequency autonomic oscillations reflected in heart rate variability to circadian rhythms in inflammatory mediators, we gain insight into the underlying physiology.