Related Experiment Video
Updated: May 16, 2026
07:48
Intravenous Endotoxin Challenge in Healthy Humans: An Experimental Platform to Investigate and Modulate Systemic Inflammation
Published on: May 16, 2016
Translational applications of evaluating physiologic variability in human endotoxemia
Jeremy D Scheff1, Panteleimon D Mavroudis, Steve E Calvano
1Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Journal of Clinical Monitoring and Computing
|December 4, 2012
Summary
Computational systems biology can reveal how biological rhythms influence inflammation. Understanding these rhythms and their disruption offers new therapeutic insights for inflammatory disorders like sepsis.
Area of Science:
- Computational systems biology
- Immunology
- Physiology
Background:
- Inflammation is a complex biological response crucial for healing but can become dysregulated, leading to persistent inflammatory states.
- Developing novel therapies for inflammatory disorders is challenging due to the intricate network of interacting pathways involved.
- Physiologic variability, including heart rate variability and circadian rhythms, contains information about underlying biological processes.
Purpose of the Study:
- To explore computational systems biology approaches for understanding inflammation.
- To investigate the role of biological rhythms in inflammation and their disruption.
- To apply insights from physiologic variability and biological rhythms in a translational context for inflammatory diseases.
Main Methods:
- Utilizing computational systems biology to model complex inflammatory pathways.
- Analyzing physiologic variability, from short-term autonomic activity to circadian rhythms.
- Focusing on the information content embedded within biological rhythms and their oscillations.
Main Results:
- Demonstrated the potential of computational systems biology to unravel inflammation complexity.
- Highlighted the significance of biological rhythms in maintaining or disrupting inflammatory homeostasis.
- Identified specific patterns in physiologic variability linked to inflammatory states.
Conclusions:
- Computational systems biology offers a powerful framework for dissecting inflammatory processes.
- Biological rhythms and their disruption are critical factors in inflammatory disorders.
- Leveraging insights from physiologic variability and circadian rhythms can inform novel therapeutic strategies for sepsis and other inflammatory conditions.
