Human disease classification in the postgenomic era: A complex systems approach to human pathobiology

被引:395
作者
Loscalzo, Joseph
Kohane, Isaac
Barabasi, Albert-Laszlo
机构
[1] Brigham & Womens Hosp, Dept Med, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Boston, MA 02115 USA
[3] Childrens Hosp, Dept Pediat, Boston, MA 02115 USA
[4] Univ Notre Dame, Dept Phys & Comp Sci, Notre Dame, IN 46556 USA
关键词
genotype; network; pathology; phenotype;
D O I
10.1038/msb4100163
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Contemporary classification of human disease derives from observational correlation between pathological analysis and clinical syndromes. Characterizing disease in this way established a nosology that has served clinicians well to the current time, and depends on observational skills and simple laboratory tools to define the syndromic phenotype. Yet, this time-honored diagnostic strategy has significant shortcomings that reflect both a lack of sensitivity in identifying preclinical disease, and a lack of specificity in defining disease unequivocally. In this paper, we focus on the latter limitation, viewing it as a reflection both of the different clinical presentations of many diseases (variable phenotypic expression), and of the excessive reliance on Cartesian reductionism in establishing diagnoses. The purpose of this perspective is to provide a logical basis for a new approach to classifying human disease that uses conventional reductionism and incorporates the nonreductionist approach of systems biomedicine.
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页数:11
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