The Future Use of in Vitro Data in Risk Assessment to Set Human Exposure Standards: Challenging Problems and Familiar Solutions

被引:28
作者
Crump, Kenny S. [1 ]
Chen, Chao [2 ]
Louis, Thomas A. [3 ]
机构
[1] Louisiana Tech Univ, Ruston, LA 71270 USA
[2] US EPA, Natl Ctr Environm Assessment, Off Res & Dev, Washington, DC USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD USA
关键词
21st-century toxicology vision; biologically based dose-response models; in vitro data; point of departure; risk assessment; toxicity pathway models; VISION;
D O I
10.1289/ehp.1001931
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BACKGROUND: The vision of a National Research Council (NRC) committee ( the Committee on Toxicity Testing and Assessment of Environmental Agents) for future toxicity testing involves the testing of human cells in in vitro assays for "toxicity pathways"-normal signaling pathways that when perturbed can lead to adverse effects. Risk assessments would eventually be conducted using mathematical models of toxicity pathways (TP models) to estimate exposures that will not cause biologically significant perturbations in these pathways. OBJECTIVES: In this commentary we present our vision of how risk assessment to support exposure standards will be developed once a suitable suite of in vitro assays becomes available. DISCUSSION: Issues to be faced basing risk assessments on in vitro data are more complex than, but conceptually similar to, those faced currently when applying in vivo data. Absent some unforeseen technical breakthrough, in vitro data will be used in ways similar to current practices that involve applying uncertainty or safety factors to no observed adverse effect levels or benchmark doses. TP models are unlikely to contribute quantitatively to risk assessments for several reasons, including that the statistical variability inherent in such complex models severely limits their usefulness in estimating small changes in response, and that such models will likely continue to involve empirical modeling of dose responses. CONCLUSION: The vision of the committee predicts that chemicals will be tested more quickly and cheaply and that animal testing will be reduced or eliminated. Progress toward achieving these goals will be expedited if the issues raised herein are given careful consideration.
引用
收藏
页码:1350 / 1354
页数:5
相关论文
共 18 条
[1]   Toxicity Testing in the 21st Century: Bringing the Vision to Life [J].
Andersen, Melvin E. ;
Krewski, Daniel .
TOXICOLOGICAL SCIENCES, 2009, 107 (02) :324-330
[2]   Toxicogenomics in regulatory ecotoxicology [J].
Ankley, Gerald T. ;
Daston, George P. ;
Degitz, Sigmund J. ;
Denslow, Nancy D. ;
Hoke, Robert A. ;
Kennedy, Sean W. ;
Miracle, Ann L. ;
Perkins, Edward J. ;
Snape, Jason ;
Tillitt, Donald E. ;
Tyler, Charles R. ;
Versteeg, Donald .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2006, 40 (13) :4055-4065
[3]  
[Anonymous], 2008, Science and Decisions: Advancing Risk Assessment
[4]  
[Anonymous], 2007, Toxicity testing in the 21st century : a vision and a strategy
[5]   Toxicology - Transforming environmental health protection [J].
Collins, Francis S. ;
Gray, George M. ;
Bucher, John R. .
SCIENCE, 2008, 319 (5865) :906-907
[6]   Biologically motivated computational modeling of formaldehyde carcinogenicity in the F344 rat [J].
Conolly, RB ;
Kimbell, JS ;
Janszen, D ;
Schlosser, PM ;
Kalisak, D ;
Preston, J ;
Miller, FJ .
TOXICOLOGICAL SCIENCES, 2003, 75 (02) :432-447
[7]   Commentary on "Toxicity Testing in the 21st Century: Implications for Human Health Risk Assessment" by Krewski et al. [J].
Conolly, Rory B. .
RISK ANALYSIS, 2009, 29 (04) :480-481
[8]   What Role for Biologically Based Dose-Response Models in Estimating Low-Dose Risk? [J].
Crump, Kenny S. ;
Chen, Chao ;
Chiu, Weihsueh A. ;
Louis, Thomas A. ;
Portier, Christopher J. ;
Subramaniam, Ravi P. ;
White, Paul D. .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2010, 118 (05) :585-588
[9]   A NEW METHOD FOR DETERMINING ALLOWABLE DAILY INTAKES [J].
CRUMP, KS .
FUNDAMENTAL AND APPLIED TOXICOLOGY, 1984, 4 (05) :854-871
[10]   Surviving heat shock: Control strategies for robustness and performance [J].
El-Samad, H ;
Kurata, H ;
Doyle, JC ;
Gross, CA ;
Khammash, M .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (08) :2736-2741