TY - JOUR
T1 - Reverse engineering the inflammatory “clock”
T2 - from computational modeling to rational resetting
AU - Vodovotz, Yoram
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2016/2/4
Y1 - 2016/2/4
N2 - Properly-regulated inflammation is central to homeostasis, and becomes dysregulated after traumatic injury, hemorrhage, and sepsis. Inflammation is a dynamic, complex system whose function, like that of an analog clock, cannot be discerned simply from a laundry list of its parts (data). Dynamic approaches to data-driven computational modeling can be thought of as the “gears” and “hands” of the “clock,” and have led to insights regarding principal drivers, dynamic networks, feedbacks, and regulatory switches. In parallel, mechanistic computational models have given an abstracted sense of how the inflammatory “clock” works, leading to in silico models of critically ill individuals and populations. Integrating data-driven and mechanistic modeling may point the way to a rational “resetting” of inflammation via model-driven precision medicine.
AB - Properly-regulated inflammation is central to homeostasis, and becomes dysregulated after traumatic injury, hemorrhage, and sepsis. Inflammation is a dynamic, complex system whose function, like that of an analog clock, cannot be discerned simply from a laundry list of its parts (data). Dynamic approaches to data-driven computational modeling can be thought of as the “gears” and “hands” of the “clock,” and have led to insights regarding principal drivers, dynamic networks, feedbacks, and regulatory switches. In parallel, mechanistic computational models have given an abstracted sense of how the inflammatory “clock” works, leading to in silico models of critically ill individuals and populations. Integrating data-driven and mechanistic modeling may point the way to a rational “resetting” of inflammation via model-driven precision medicine.
UR - http://www.scopus.com/inward/record.url?scp=85017451606&partnerID=8YFLogxK
U2 - 10.1016/j.ddmod.2017.03.001
DO - 10.1016/j.ddmod.2017.03.001
M3 - Review article
AN - SCOPUS:85017451606
SN - 1740-6757
VL - 22
SP - 57
EP - 63
JO - Drug Discovery Today: Disease Models
JF - Drug Discovery Today: Disease Models
ER -