Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
J Clin Monit Comput. 2013 Aug;27(4):405-15. doi: 10.1007/s10877-012-9418-1. Epub 2012 Dec 1.
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.
炎症反应失调是许多临床上具有挑战性的疾病（如败血症）的关键组成部分。炎症是一种旨在导致愈合和恢复的生物过程，最终恢复体内平衡；然而，如果未能完全实现这些有益的结果，患者可能会处于危险的持续炎症状态。在该领域开发新疗法的主要挑战之一是炎症由相互作用的复杂途径网络组成。在这里，我们通过计算系统生物学讨论了解决该问题的方法，特别关注生物节律的存在以及炎症中这些节律的破坏如何在转化背景下应用。通过利用从自主活动驱动的短期心率变异性中的波动到免疫调节激素的昼夜节律等生理变异性中嵌入的信息内容，有很大的潜力深入了解潜在的生理学。
