Tuberculosis research: Going forward with a powerful "Translational Systems Biology'' approach

被引:10
|
作者
Day, Judy [1 ]
Schlesinger, Larry S. [2 ]
Friedman, Avner [1 ,3 ]
机构
[1] Ohio State Univ, Math Biosci Inst, Columbus, OH 43210 USA
[2] Ohio State Univ, Div Infect Dis, Dept Internal Med, Ctr Microbial Interface Biol, Columbus, OH 43210 USA
[3] Ohio State Univ, Dept Math, Columbus, OH 43210 USA
关键词
Opinion; Translational Systems Biology; Mathematical modeling; Tuberculosis research; INFECTION;
D O I
10.1016/j.tube.2009.12.002
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Due to the complexity of the immune response to a Mycobacterium tuberculosis infection, identifying new, effective therapies and vaccines to combat it has been a problematic issue. Although many advances have been made in understanding particular mechanisms involved, they have, to date, proved insufficient to provide real breakthroughs in this area of tuberculosis research. The term "Translational Systems Biology'' has been formally proposed to describe the use of experimental findings combined with mathematical modeling and/or engineering principles to understand complex biological processes in an integrative fashion for the purpose of enhancing clinical practice. This opinion piece discusses the importance of using a Translational Systems Biology approach for tuberculosis research as a means by which to go forward with the potential for significant breakthroughs to occur. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7 / 8
页数:2
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