TY - JOUR
T1 - Challenges and rewards on the road to translational systems biology in acute illness
T2 - four case reports from interdisciplinary teams
AU - An, Gary
AU - Hunt, C. Anthony
AU - Clermont, Gilles
AU - Neugebauer, Edmund
AU - Vodovotz, Yoram
N1 - Funding Information:
The CIRM has concentrated its efforts on translational modeling of inflammation and organ damage in the settings of sepsis and trauma [33-36] , using large mathematical models to make quantitative predictions and to simulate clinical trials. In conjunction, however, this group has also used smaller models to address basic questions in acute inflammation [37-39] as well as to develop methods for calibration of mathematical models to data [40] . The group at Pittsburgh has established a graduate level course on the application of mathematical modeling to inflammation (“A Systems Approach to Inflammation”; http://www.pitt.edu/∼cler/mscmp3780/mscmp3780.htm ), with the intent of developing multidisciplinarily trained researchers for the future. Importantly, this work has been funded by various funding agencies, including the National Institutes of Health and Commonwealth of Pennsylvania, and has resulted in the commercial translation in the formation of a company (Immunetrics, Inc) that has begun to bring DMM to the arena of pharmaceutical companies developing sepsis therapies [41] (note that GA, YV, and GC are consultants to Immunetrics, Inc).
PY - 2007/6
Y1 - 2007/6
N2 - Introduction: Translational systems biology approaches can be distinguished from mainstream systems biology in that their goal is to drive novel therapies and streamline clinical trials in critical illness. One systems biology approach, dynamic mathematical modeling (DMM), is increasingly used in dealing with the complexity of the inflammatory response and organ dysfunction. The use of DMM often requires a broadening of research methods and a multidisciplinary team approach that includes bioscientists, mathematicians, engineers, and computer scientists. However, the development of these groups must overcome domain-specific barriers to communication and understanding. Methods: We present 4 case studies of successful translational, interdisciplinary systems biology efforts, which differ by organizational level from an individual to an entire research community. Results: Case 1 is a single investigator involved in DMM of the acute inflammatory response at Cook County Hospital, in which extensive translational progress was made using agent-based models of inflammation and organ damage. Case 2 is a community-level effort from the University of Witten-Herdecke in Cologne, whose efforts have led to the formation of the Society for Complexity in Acute Illness. Case 3 is an institution-based group, the Biosystems Group at the University of California, San Francisco, whose work has included a focus on a common lexicon for DMM. Case 4 is an institution-based, transdisciplinary research group (the Center for Inflammation and Regenerative Modeling at the University of Pittsburgh), whose modeling work has led to internal education efforts, grant support, and commercialization. Conclusion: A transdisciplinary approach, which involves team interaction in an iterative fashion to address ambiguity and is supported by educational initiatives, is likely to be necessary for DMM in acute illness. Communitywide organizations such as the Society of Complexity in Acute Illness must strive to facilitate the implementation of DMM in sepsis/trauma research into the research community as a whole.
AB - Introduction: Translational systems biology approaches can be distinguished from mainstream systems biology in that their goal is to drive novel therapies and streamline clinical trials in critical illness. One systems biology approach, dynamic mathematical modeling (DMM), is increasingly used in dealing with the complexity of the inflammatory response and organ dysfunction. The use of DMM often requires a broadening of research methods and a multidisciplinary team approach that includes bioscientists, mathematicians, engineers, and computer scientists. However, the development of these groups must overcome domain-specific barriers to communication and understanding. Methods: We present 4 case studies of successful translational, interdisciplinary systems biology efforts, which differ by organizational level from an individual to an entire research community. Results: Case 1 is a single investigator involved in DMM of the acute inflammatory response at Cook County Hospital, in which extensive translational progress was made using agent-based models of inflammation and organ damage. Case 2 is a community-level effort from the University of Witten-Herdecke in Cologne, whose efforts have led to the formation of the Society for Complexity in Acute Illness. Case 3 is an institution-based group, the Biosystems Group at the University of California, San Francisco, whose work has included a focus on a common lexicon for DMM. Case 4 is an institution-based, transdisciplinary research group (the Center for Inflammation and Regenerative Modeling at the University of Pittsburgh), whose modeling work has led to internal education efforts, grant support, and commercialization. Conclusion: A transdisciplinary approach, which involves team interaction in an iterative fashion to address ambiguity and is supported by educational initiatives, is likely to be necessary for DMM in acute illness. Communitywide organizations such as the Society of Complexity in Acute Illness must strive to facilitate the implementation of DMM in sepsis/trauma research into the research community as a whole.
KW - Complexity
KW - Computer simulation
KW - Education programs
KW - Glossary
KW - Inflammation
KW - Interactive model
KW - Mathematical modeling
KW - Sepsis
KW - Transdisciplinary approaches
KW - Trauma
UR - http://www.scopus.com/inward/record.url?scp=34249826054&partnerID=8YFLogxK
U2 - 10.1016/j.jcrc.2006.12.011
DO - 10.1016/j.jcrc.2006.12.011
M3 - Article
C2 - 17548029
AN - SCOPUS:34249826054
SN - 0883-9441
VL - 22
SP - 169
EP - 175
JO - Journal of Critical Care
JF - Journal of Critical Care
IS - 2
ER -