Early Safety Assessment Using Cellular Systems Biology Yields Insights into Mechanisms of Action

被引:19
作者
Giuliano, Kenneth A. [1 ]
Gough, Albert H. [1 ]
Taylor, D. Lansing [1 ]
Vernetti, Lawrence A. [1 ]
Johnston, Patricia A. [1 ]
机构
[1] Cellumen Inc, Pittsburgh, PA 15238 USA
关键词
cellular systems biology; toxic response; biomarker relationships; high-content screening; safety risk index; IN-VITRO; DRUG DISCOVERY; HEPATOTOXICITY; NEFAZODONE; TACRINE; CYTOTOXICITY; DYSFUNCTION; CELLS; RAT;
D O I
10.1177/1087057110376413
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The integration of high-content screening (HCS) readers with organ-specific cell models, panels of functional biomarkers, and advanced informatics is a powerful approach to identifying the toxic liabilities of compounds early in the development process and forms the basis of "early safety assessment." This cellular systems biology (CSB (TM)) approach (CellCiphr (R) profile) has been used to integrate rodent and human cellular hepatic models with panels of functional biomarkers measured at multiple time points to profile both the potency and specificity of the cellular toxicological response. These profiles also provide initial insights on the mechanism of the toxic response. The authors describe here mechanistic assay profiles designed to further dissect the toxic mechanisms of action and elucidate subtle effects apparent in subpopulations of cells. They measured 8 key mechanisms of toxicity with multiple biomarker feature measurements made simultaneously in populations of living primary hepatocytes and HepG2 cells. Mining the cell population response from these mechanistic profiles revealed the concentration dependence and nature of the heterogeneity of the response, as well as relationships between the functional responses. These more detailed mechanistic profiles define differences in compound activities that are not apparent in the average population response. Because cells and tissues encounter wide ranges of drug doses in space and time, these mechanistic profiles build on the CellCiphr (R) profile and better reflect the complexity of the response in vivo. (Journal of Biomolecular Screening 2010:783-797)
引用
收藏
页码:783 / 797
页数:15
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