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Translational Systems Biology of Inflammation: Potential Applications to Personalized Medicine

2010; Future Medicine; Volume: 7; Issue: 5 Linguagem: Inglês

10.2217/pme.10.45

1744-828X

Qi Mi, Nicole Y. K. Li‐Jessen, Cordelia Ziraldo, Ali Ghuma, Maxim Mikheev, Robert H. Squires, David O. Okonkwo, Katherine Verdolini-Abbott, Gregory Constantine, Gary An, Yoram Vodovotz,

Immune cells in cancer

A central goal of industrialized nations is to provide personalized, pre-emptive and predictive medicine, while maintaining healthcare costs at a minimum. To do so, we must confront and gain an understanding of inflammation, a complex, nonlinear process central to many diseases that affect both industrialized and developing nations. Herein, we describe the work aimed at creating a rational, engineering-oriented and evidence-based synthesis of inflammation geared towards rapid clinical application. This comprehensive approach, which we call 'Translational Systems Biology', to date has been utilized for in silico studies of sepsis, trauma/hemorrhage/traumatic brain injury, acute liver failure and wound healing. This framework has now allowed us to suggest how to modulate acute inflammation in a rational and individually optimized fashion using engineering principles applied to a biohybrid device. We suggest that we are on the cusp of fulfilling the promise of in silico modeling for personalized medicine for inflammatory disease.