Translational systems biology of inflammation: potential applications to personalized medicine

被引:41
作者
Mi, Qi [1 ,2 ]
Li, Nicole Yee-Key [1 ,3 ]
Ziraldo, Cordelia [1 ,4 ]
Ghuma, Ali [1 ,5 ]
Mikheev, Maxim [1 ,5 ]
Squires, Robert [6 ]
Okonkwo, David O. [7 ]
Verdolini-Abbott, Katherine [1 ,3 ]
Constantine, Gregory [1 ,8 ]
An, Gary [1 ,9 ]
Vodovotz, Yoram [1 ,5 ]
机构
[1] Univ Pittsburgh, Ctr Inflammat & Regenerat Modeling, McGowan Inst Regenerat Med, Pittsburgh, PA 15219 USA
[2] Univ Pittsburgh, Dept Sports Med & Nutr, Pittsburgh, PA USA
[3] Univ Pittsburgh, Dept Sports Med & Nutr, Pittsburgh, PA USA
[4] Univ Pittsburgh, Dept Computat Biol, Pittsburgh, PA USA
[5] Univ Pittsburgh, Dept Surg, Pittsburgh, PA USA
[6] Univ Pittsburgh, Dept Pediat, Pittsburgh, PA 15260 USA
[7] Univ Pittsburgh, Dept Neurol Surg, Pittsburgh, PA 15260 USA
[8] Univ Pittsburgh, Dept Math & Biostat, Pittsburgh, PA USA
[9] Univ Chicago, Dept Surg, Chicago, IL 60637 USA
基金
美国国家科学基金会;
关键词
inflammation; modeling; systems biology; REDUCED MATHEMATICAL-MODEL; IN-SILICO; ANTIINFLAMMATORY AGENTS; COMPUTER-SIMULATION; COMPLEX-SYSTEMS; CLINICAL-TRIALS; EXPRESSION; RECEPTOR; THERAPIES; SEPSIS;
D O I
10.2217/PME.10.45
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
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 silica 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 Silica modeling for personalized medicine for inflammatory disease.
引用
收藏
页码:549 / 559
页数:11
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