login

Translational Systems Biology of Inflammation: Potential Applications to Personalized Medicine

Personalized MedicinePublished 1 September 2010Open access
Qi Mi, Nicole Y. K. Li‐Jessen, Cordelia Ziraldo, Ali Ghuma, Maxim Mikheev, Robert H. Squires
Citations64
View PDF

TL;DR

It is suggested that the work aimed at creating a rational, engineering-oriented and evidence-based synthesis of inflammation geared towards rapid clinical application is on the cusp of fulfilling the promise of in silico modeling for personalized medicine for inflammatory disease.

Abstract

A central goal of industrialized nations is to provide personalized, preemptive 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.

Keywords

Immunology and MicrobiologyBiochemistry, Genetics and Molecular Biology