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Critical Reviews™ in Biomedical Engineering
SJR: 0.26 SNIP: 0.375 CiteScore™: 1.4

ISSN Imprimir: 0278-940X
ISSN En Línea: 1943-619X

Volumes:
Volumen 48, 2020 Volumen 47, 2019 Volumen 46, 2018 Volumen 45, 2017 Volumen 44, 2016 Volumen 43, 2015 Volumen 42, 2014 Volumen 41, 2013 Volumen 40, 2012 Volumen 39, 2011 Volumen 38, 2010 Volumen 37, 2009 Volumen 36, 2008 Volumen 35, 2007 Volumen 34, 2006 Volumen 33, 2005 Volumen 32, 2004 Volumen 31, 2003 Volumen 30, 2002 Volumen 29, 2001 Volumen 28, 2000 Volumen 27, 1999 Volumen 26, 1998 Volumen 25, 1997 Volumen 24, 1996 Volumen 23, 1995

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
Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA; Department of Chemical & Biochemical Engineering, Rutgers University, Piscataway, NJ, USA; Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA

SINOPSIS

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.


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