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Translational systems biology of inflammation: potential applications to personalized medicine
被引:40
|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.
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页码:549 / 559
页数:11
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