Synergy and other ineffective mixture risk definitions

作者: Richard C Hertzberg , Margaret M MacDonell

DOI: 10.1016/S0048-9697(01)01113-5

关键词: EngineeringToxicogenomicsForensic engineeringAction (philosophy)Pairwise interactionRisk analysis (engineering)Dose additionToxicological ConceptsChemical mixturesRisk assessmentOccupational exposure

摘要: A substantial effort has been spent over the past few decades to label toxicologic interaction outcomes as synergistic, antagonistic, or additive. Although useful in influencing emotions of public and press, these labels have contributed fairly little our understanding joint toxic action. Part difficulty is that their underlying toxicological concepts are only defined for two chemical mixtures, while most environmental occupational exposures mixtures many more chemicals. Furthermore, mathematical characterizations synergism antagonism inextricably linked prevailing definition 'no interaction,' instead some intrinsic property. For example, US EPA selected dose addition no-interaction mixture risk assessment, so would represent effects exceed those predicted from addition. now, such regulatory agencies, both qualitative indications health well numerical decision tools characterization. Efforts quantify designations use assessment formulas, however, highly simplified carry large uncertainties. Several research directions, pharmacokinetic measurements models, toxicogenomics, should promote significant improvements by providing multi-component data will allow biologically based models toxicity replace pairwise procedures.

参考文章(17)
Robert Tardif, Ginette Charest-Tardif, Jules Brodeur, Kannan Krishnan, Physiologically Based Pharmacokinetic Modeling of a Ternary Mixture of Alkyl Benzenes in Rats and Humans Toxicology and Applied Pharmacology. ,vol. 144, pp. 120- 134 ,(1997) , 10.1006/TAAP.1996.8096
U.Y. Sanzgiri, V. Srivatsan, S. Muralidhara, C.E. Dallas, J.V. Bruckner, Uptake, distribution, and elimination of carbon tetrachloride in rat tissues following inhalation and ingestion exposures. Toxicology and Applied Pharmacology. ,vol. 143, pp. 120- 129 ,(1997) , 10.1006/TAAP.1996.8079
Richard C Hertzberg, Linda K Teuschler, Evaluating quantitative formulas for dose-response assessment of chemical mixtures. Environmental Health Perspectives. ,vol. 110, pp. 965- 970 ,(2002) , 10.1289/EHP.02110S6965
Christopher J. Borgert, Bertram Price, Christopher S. Wells, Glenn S. Simon, Evaluating Chemical Interaction Studies for Mixture Risk Assessment Human and Ecological Risk Assessment. ,vol. 7, pp. 259- 306 ,(2001) , 10.1080/20018091094376
J. Seed, R.P. Brown, S.S. Olin, J.A. Foran, Chemical Mixtures: Current Risk Assessment Methodologies and Future Directions Regulatory Toxicology and Pharmacology. ,vol. 22, pp. 76- 94 ,(1995) , 10.1006/RTPH.1995.1071
Marie-Odile Fouchécourt, Martin Béliveau, Kannan Krishnan, Quantitative structure–pharmacokinetic relationship modelling Science of The Total Environment. ,vol. 274, pp. 125- 135 ,(2001) , 10.1016/S0048-9697(01)00743-4
Hisham A. El-Masri, John D. Tessari, Raymond S. H. Yang, Exploration of an interaction threshold for the joint toxicity of trichloroethylene and 1,1-dichloroethylene: utilization of a PBPK model Archives of Toxicology. ,vol. 70, pp. 527- 539 ,(1996) , 10.1007/S002040050310
Melvin E. Andersen, Michael L. Gargas, Harvey J. Clewell, Kristine M. Severyn, Quantitative evaluation of the metabolic interactions between trichloroethylene and 1,1-dichloroethylene in vivo using gas uptake methods. Toxicology and Applied Pharmacology. ,vol. 89, pp. 149- 157 ,(1987) , 10.1016/0041-008X(87)90035-4
Ronald J. Marnicio, P. J. (Bert) Hakkinen, Steven D. Lutkenhoff, Richard C. Hertzberg, Paul D. Moskowitz, Risk Analysis Software and Databases: Review of Riskware'90 Conference and Exhibition Risk Analysis. ,vol. 11, pp. 545- 560 ,(1991) , 10.1111/J.1539-6924.1991.TB00640.X
Hisham A. El-Masri, Russell S. Thomas, Stephen A. Benjamin, Raymond S.H. Yang, Physiologically based pharmacokinetic/pharmacodynamic modeling of chemical mixtures and possible applications in risk assessment Toxicology. ,vol. 105, pp. 275- 282 ,(1995) , 10.1016/0300-483X(95)03222-2