Perspectives for integrating human and environmental risk assessment and synergies with socio-economic analysis

Science of the Total Environment

Volumn 456-457, Issue , 2013, Pages 307-316

  Pery A R R ^a   Schuurmann G ^b,c   Ciffroy, P ^d   Faust, M ^e   Backhaus, T ^e   Aicher, L ^f   Mombelli, E ^a   Tebby, C ^a   Cronin, M T D ^g   Tissot, S ^h   Andres, S ^a   Brignon, J M ^a   Frewer, L ⁱ   Georgiou, S ^j   Mattas, K ^k   Vergnaud, J C ^l   Peijnenburg, W ^m   Capri, E ⁿ   Marchis, A ⁿ   Wilks, M F ^f  

^a INSTITUT NATIONAL DE L ENVIRONNEMENT INDUSTRIEL ET DES RISQUES INERIS   (France)

^b HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^c TU BERGAKADEMIE FREIBERG   (Germany)

^d EDF R AND D   (France)

^e UNIVERSITY OF BREMEN   (Germany)

^f UNIVERSITY OF BASEL   (Switzerland)

^g LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^h SYNGENTA CROP PROTECTION AG   (Switzerland)

ⁱ NEWCASTLE UNIVERSITY   (United Kingdom)

^j HEALTH AND SAFETY EXECUTIVE   (United Kingdom)

^k ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^l UNIVERSITÉ PARIS 1 PANTHÉON SORBONNE   (France)

^m NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

ⁿ UNIVERSITÀ CATTOLICA DEL SACRO CUORE   (Italy)

more..

Author keywords

Chemical exposure; Environmental risk assessment; Hazard assessment; Human risk assessment; Integration; Socio economic analysis

Indexed keywords

CHEMICAL EXPOSURE; ENVIRONMENTAL RISK ASSESSMENT; HAZARD ASSESSMENT; HUMAN RISK ASSESSMENT; SOCIO-ECONOMICS;

BIOHAZARDS; CHEMICAL HAZARDS; ECONOMIC ANALYSIS; INTEGRATION; RISK ASSESSMENT; RISK MANAGEMENT; UNCERTAINTY ANALYSIS;

DATA INTEGRATION;

CHEMICAL SUBSTANCE; ENVIRONMENTAL RISK; EUROPEAN UNION; HAZARD ASSESSMENT; HEALTH RISK; RISK ASSESSMENT;

ADVERSE OUTCOME; ARTICLE; BIOINFORMATICS; BIOLOGICAL MONITORING; COMPUTER MODEL; COST BENEFIT ANALYSIS; DATA BASE; ECOTOXICITY; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL RISK ASSESSMENT; EVIDENCE BASED PRACTICE; HAZARD ASSESSMENT; HUMAN RISK ASSESSMENT; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RISK ASSESSMENT; RISK MANAGEMENT; SOCIOECONOMICS; STANDARDIZATION; UNCERTAINTY; VALIDATION PROCESS;

ANIMAL TESTING ALTERNATIVES; ANIMALS; ENVIRONMENTAL EXPOSURE; EUROPEAN UNION; GOVERNMENT REGULATION; HAZARDOUS SUBSTANCES; HUMANS; RISK ASSESSMENT; SOCIOECONOMIC FACTORS; TOXICITY TESTS;

EUROPE;

EID: 84877154561     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2013.03.099     Document Type: Article

References (79)

1. Ahlers J., Stock F., Werschkun B. Integrated testing and intelligent assessment - new challenges under REACH. Environ Sci Pollut Res Int 2008, 15:565-572.
2. Altenburger R., Scholz S., Schmitt-Jansen M., Busch W., Escher B.I. Mixture toxicity revisited from a toxicogenomic perspective. Environ Sci Technol 2012, 46:2508-2522.
3. Ankley G.T., Bennett R.S., Erickson R.J., Hoff D.J., Hornung M.W., Johnson R.D., et al. Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment. Environ Toxicol Chem 2010, 29:730-741.
4. Backhaus T., Faust M. Predictive environmental risk assessment of chemical mixtures: a conceptual framework. Environ Sci Technol 2012, 46:2564-2573.
5. Benigni R., Bossa C. Mechanisms of chemical carcinogenicity and mutagenicity: a review with implications for predictive toxicology. Chem Rev 2011, 111:2507-2536.
6. Bhattacharya S., Zhang Q., Carmichael P.J., Boekelheide K., Andersen M.E. Toxicity testing in the 21st century: defining new risk assessment approaches based on perturbation of intracellular toxicity pathways. PLoS One 2011, 6(6):e20887. 10.1371/journal.pone.0020887.
7. Blaschke U., Eismann K., Böhme A., Paschke A., Schüürmann G. Structural alerts for the excess toxicity of acrylates, methacrylates and propiolates derived from their short-term and long-term bacterial toxicity. Chem Res Toxicol 2012, 25:170-180.
8. Boedeker W., Backhaus T. The scientific assessment of combined effects of risk factors: different approaches in experimental biosciences and epidemiology. Eur J Epidemiol 2010, 25:539-546.
9. Böhme A., Thaens D., Schramm F., Paschke A., Schüürmann G. Thiol reactivity and its impact on the ciliate toxicity of α, β-unsaturated aldehydes, ketones and esters. Chem Res Toxicol 2010, 23:1905-1912.
10. Boobis A., Budinsky R., Collie S., Crofton K., Embry M., Felter S., et al. Critical analysis of literature on low-dose synergy for use in screening chemical mixtures for risk assessment. Crit Rev Toxicol 2011, 41:369-383.
11. Bradbury S., Feijtel T., Van Leeuwen K. Meeting the scientific needs of ecological risk assessment in a regulatory context. Environ Sci Technol 2004, 38:463a-470a.
12. Briggs D., Sabel C., Lee K. Uncertainty in epidemiology and health risk and impact assessment. Environ Geochem Health 2009, 31:189-203.
13. Briggs K., Cases M., Heard D.J., Pastor M., Pognan F., Sanz F., et al. Inroads to predict in vivo toxicology - an introduction to the eTOX project. Int J Mol Sci 2012, 13:3820-3846.
14. Buist H., Aldenberg T., Batke M., Escher S., Klein Entink R., Kühne R., et al. The OSIRIS weight of evidence approach: ITS mutagenicity and ITS carcinogenicity. Regul Toxicol Pharmacol 2013, [in press, online available]. 10.1016/j.yrtph.2013.01.002.
15. Combes R., Balls M. Intelligent testing strategies for chemicals testing - a case of more haste, less speed?. ATLA 2005, 33:289-297.
16. Davis J.A., Gift J.S., Zhao Q.J. Introduction to benchmark dose methods and U.S. EPA's benchmark dose software (BMDS) version 2.1.1. Toxicol Appl Pharmacol 2011, 254:181-191.
17. Dimitrov S., Dimitrova G., Pavlov T., Dimitrova N., Patlewicz G., Niemela J., et al. A stepwise approach for defining the applicability domain of SAR and QSAR models. J Chem Inf Model 2005, 45:839-849.
18. Dreyer M., Renn O., Cope S., Frewer L.J. Including social impact assessment in food safety governance. Food Control 2010, 21:1620-1628.
19. EC Toxicity and assessment of chemical mixtures (final approved opinion) 2011.
20. EC The combination effects of chemicals - chemical mixtures. Communication from the Commission to the Council, COM (2012) 252 final, Brussels, 31.5.2012 2012.
21. ECETOC Toxicological modes of action: relevance for human risk assessment. Technical report 2006, No. 99. [Brussels, Belgium, 67 pp.].
22. ECETOC Development of guidance for assessing the impact of mixtures of chemicals in the aquatic environment. Technical report 2011, No. 111. [www.ecetoc.org, Brussels, Belgium].
23. ECETOC Category approaches, read-across, (Q)SAR. Technical report 2012, No. 116. [Brussels, Belgium, 183 pp.].
24. ECHA Guidance on socio-economic analysis - restrictions. ECHA report 2008.
25. ECHA Guidance on information requirements and chemical safety assessment. Chapter R.7c: endpoint specific guidance 2012, [ECHA-12-G-23-EN].
26. FAO, WFP, IFAD The state of food insecurity in the world 2012. Economic growth is necessary but not sufficient to accelerate reduction of hunger and malnutrition 2012, FAO, Rome.
27. Foundation for EU Democracy The Lisbon treaty: the readable version 2009, 3rd ed.
28. Gezondheidsraad (Health Council of the Netherlands) Prudent precaution 2008.
29. Gupta N., Fisher A.R.H., van der Lans I.A., Frewer L.J. Factors influencing societal response of nanotechnology: an expert stakeholder analysis. J Nanopart Res 2012, 14:857.
30. Hays S.M., Becker R.A., Leung H.W., Aylward L.L., Pyatt D.W. Biomonitoring equivalents: a screening approach for interpreting biomonitoring results from a public health risk perspective. Regul Toxicol Pharmacol 2007, 47:96-109.
31. HEIMSTA Conceptual framework and scoping report for uncertainty analysis and integration of uncertainty methods into four case studies. HEIMSTA project; deliverable 1.2.1 2009.
32. Janer G., Hakkert B.C., Piersma A.H., Vermeire T., Slob W. A retrospective analysis of the added value of the rat two-generation reproductive study versus the rat subchronic toxicity study. Reprod Toxicol 2007, 24:103-113.
33. Jaworska J., Gabbert S., Aldenberg T. Towards optimization of chemical testing under REACH: a Bayesian network approach to integrated testing strategies. Regul Toxicol Pharmacol 2010, 57:157-167.
34. Ji L., Schüürmann G. Computational evidence for α-nitrosamino radical as initial metabolite for both the P450 dealkylation and denitrosation of carcinogenic nitrosamines. J Phys Chem B 2012, 116:903-912.
35. Ji L., Schüürmann G. Model and mechanism: N-hydroxylation of primary aromatic amines by cytochrome P450. Angew Chem Int Ed 2013, 52:744-748.
36. Kortenkamp A., Backhaus T., Faust M. State of the art report on mixture toxicity. Contract study prepared for the European Commission, DG Environment, study contract no. 070307/2007/485103/ETU/D.1 available online from the website of the European Commission at. http://ec.europa.eu/environment/chemicals/pdf/report_Mixture%20toxicity.pdf.
37. Krishnan K., Andersen M.E., Clewell H.J., Yang R.S.H. Physiologically based pharmacokinetic modeling of chemical mixtures. Toxicology of chemical mixtures: case studies, mechanisms and novel approaches 1994, 399-437. Academic Press, San Diego, CA. R.S.H. Yang (Ed.).
38. Kühne R., Ebert R.-U., Schüürmann G. Chemical domain of QSAR models from atom-centered fragments. J Chem Inf Model 2009, 49:2660-2669.
39. Lalko J.F., Kimber I., Dearman R.J., Gerberick F., Sarlo K., Api A.M. Chemical reactivity measurements: potential for characterization of respiratory chemical allergens. Toxicol In Vitro 2011, 25:433-445.
40. Meek M.E., Boobis A.R., Crofton K.M., Heinemeyer G., Van Raaij M., Vickers C. Risk assessment of combined exposure to multiple chemicals: a WHO/IPCS framework. Regul Toxicol Pharmacol 2011, 60:S1-S14.
41. Mekenyan O., Patlewicz G., Dimitrova G., Kuseva C., Todorov M., Stoeva S., et al. Use of genotoxicity information in the development of integrated testing strategies (ITS) for skin sensitization. Chem Res Toxicol 2010, 23:1519-1540.
42. Millennium Ecosystem Assessment Ecosystems and human well-being: synthesis 2005, Island Press, Washington, DC.
43. Mulliner D., Wondrousch D., Schüürmann G. Predicting Michael-acceptor reactivity and toxicity through quantum chemical transition-state calculations. Org Biomol Chem 2011, 9:8400-8412.
44. Nendza M., Gabbert S., Kühne R., Lombardo A., Roncaglioni A., Benfenati E., et al. A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH. Regul Toxicol Pharmacol 2013, (submitted for publication).
45. Nestorov I. Whole body pharmacokinetic models. Clin Pharmacokinet 2003, 42:883-908.
46. OECD Guidance on grouping of chemicals. OECD environment health and safety publications, series on testing and assessment 2007, No. 80. [99 pp.].
47. OECD Guidance document for using the OECD (Q)SAR application toolbox to develop chemical categories according to the OECD guidance on grouping of chemicals. OECD environment health and safety publications, series on testing and assessment 2009, No. 80. [118 pp.].
48. OECD Report of the workshop on using mechanistic information in forming chemical categories, 8-10 December 2010, Crystal City, VA, USA. Series on testing and assessment 2011, No. 138. [18 May].
49. OECD Appendix I. Collection of working definitions http://www.oecd.org/chemicalsafety/testingofchemicals/49963576.pdf.
50. OECD Better Life Index retrieved on 20th of December 2012 from. http://www.oecdbetterlifeindex.org/.
51. OSIRIS Optimized strategies for risk assessment of industrial chemicals through integration of non-test and test information 2011, EU Project, contract no. GOCE-CT-2007-037017, 2007-2011, [OSIRIS project website: http://www.osiris-reach.eu/. OSIRIS webtool website: http://osiris.simpple.com/OSIRIS-ITS/welcome.do].
52. Péry A.R.R., Henegar A., Mombelli E. Maximum-likelihood estimation of predictive uncertainty in probabilistic QSAR modeling. QSAR Comb Sci 2009, 28:338-344.
53. Péry A.R.R., Desmots S., Mombelli E. Substance tailored testing strategies in toxicology: an in silico methodology based on QSAR modeling of toxicological thresholds and Monte Carlo simulations of toxicological testing. Regul Toxicol Pharmacol 2010, 56:82-92.
54. Pohl H.R., Mumtaz M.M., Scinicariello F., Hansen H. Binary weight-of-evidence evaluations of chemical interactions - 15years of experience. Regul Toxicol Pharmacol 2009, 54:264-271.
55. Price K., Krishnan K. An integrated QSAR-PBPK modelling approach for predicting the inhalation toxicokinetics of mixtures of volatile organic chemicals in the rat. SAR QSAR Environ Res 2011, 22:107-128.
56. Punt A., Schiffelers M.-J.W.A., Horbach G.J., van de Sandt J.M., Groothuis G.M.M., Rietjens I.M.C.M., et al. Evaluation of research activities and research needs to increase the impact and applicability of alternative testing strategies in risk assessment practice. Regul Toxicol Pharmacol 2011, 61:105-114.
57. Ramachandran G. Toward better exposure assessment strategies - the new NIOSH initiative. Ann Occup Hyg 2008, 52:297-301.
58. Satterfield T., Kandlikar M., Beaudrie C.E.H., Conti J., Herr Harthorn B. Anticipating the perceived risk of nanotechnologies. Nat Nanotechnol 2009, 4:752-758.
59. SCHER/SCENIHR/SCCS Improvement if risk assessment in view of the needs of risk managers and policy makers 2011.
60. Schramm F., Müller A., Hammer H., Paschke A., Schüürmann G. Epoxide and thiirane toxicity in vitro with the ciliates Tetrahymena pyriformis - structural alerts indicating excess toxicity. Environ Sci Technol 2011, 45:5812-5819.
61. Schultz T.W., Hewitt M., Netzeva T.I., Cronin M.T.D. Assessing applicability domains of toxicological QSARs: definition, confidence in predicted values, and the role of mechanisms of action. QSAR Comb Sci 2007, 26:238-254.
62. Schüürmann G., Ebert R.-U., Nendza M., Dearden J.C., Paschke A., Kühne R. Predicting fate-related physicochemical properties. Risk assessment of chemicals: an introduction 2007, 375-426. Springer, Dordrecht, The Netherlands, [Chapter 9]. 2nd ed. K. Van Leeuwen, T. Vermeire (Eds.).
63. Schüürmann G., Ebert R.-U., Kühne R. Quantitative read-across for predicting the acute fish toxicity of organic compounds. Environ Sci Technol 2011, 45:4616-4622.
64. Schwöbel J.A.H., Koleva Y.K., Enoch S.J., Bajot F., Hewitt M., Madden J.C., et al. Measurement and estimation of electrophilic reactivity for predictive toxicology. Chem Rev 2011, 111:2562-2596.
65. Sottas P.-E., Lavoué J., Bruzzi R., Vernez D., Charrière N., Droz P.-O. An empirical hierarchical Bayesian unification of occupational exposure assessment methods. Stat Med 2009, 28:75-93.
66. Spielmann H., Sauer U.G., Mekenyan O.G. A critical evaluation of the 2011 ECHA reports on compliance with the REACH and CLP regulations and on the use of alternatives to testing on animals for compliance with the REACH regulation. ATLA 2011, 2011:481-493.
67. Tebby C., Mombelli E. A kernel-based method for assessing uncertainty on individual QSAR predictions. Mol Inf 2012, 31:741-751.
68. Thaens D., Heinzelmann D., Böhme A., Paschke A., Schüürmann G. Chemoassay screening of DNA-reactive mutagenicity with 4-(4-nitrobenzyl)pyridine - application to epoxides, oxetanes and sulfur heterocycles. Chem Res Toxicol 2012, 25:2092-2102.
69. Thalheim T., Vollmer A., Ebert R.-U., Kühne R., Schüürmann G. Tautomer identification and tautomer structure generation based on InCHI code. J Chem Inf Model 2010, 50:1223-1232.
70. Tielemans E., Warren N., Schneider T., Tischer M., Ritchie P., Goede H., et al. Tools for regulatory assessment of occupational exposure: development and challenges. J Expo Sci Environ Epidemiol 2007, 17:S72-S80.
71. Tluczkiewicz I., Batke M., Kroese D., Buist H., Aldenberg T., Pauné E., et al. The OSIRIS weight of evidence approach: ITS for the endpoints repeated-dose toxicity (RepDose ITS). Regul Toxicol Pharmacol 2013, [in press, online available]. 10.1016/j.yrtph.2013.02.004.
72. Verhaar H.J.M., Morroni J.R., Reardon K.F., Hays S.M., Gaver D.P., Carpenter R.L., et al. A proposed approach to study the toxicology of complex mixtures of petroleum products: the integrated used of QSAR, lumping analysis and PBPK/PD modelling. Environ Health Perspect 1997, 105:179-195.
73. Verhoeven J.K. From risk assessment to environmental impact assessment of chemical substances. Methodology development to be used in socio-economic analysis for REACH. RIVM Report 2012, 601353002/2012.
74. Von der Ohe P.C., Kühne R., Ebert R.-U., Altenburger R., Liess M., Schüürmann G. Structural alerts - a new classification model to discriminate excess toxicity from narcotic effect levels of organic compounds in the acute daphnid assay. Chem Res Toxicol 2005, 18:536-555.
75. WCA environment Refinements of environmental risk assessment outputs for use in socio-economic impact assessment under REACH. Report for the Luxembourg Environment Agency 2011.
76. Weed L.W. Weight of evidence: a review of concept and methods. Risk Anal 2005, 25:1545-1557.
77. WHO Integrated risk assessment. Report prepared for the WHO/UNEP/ILO International Programme on Chemical Safety 2001.
78. WHO Uncertainty and data quality in exposure assessment http://www.who.int/ipcs/publications/methods/harmonization/exposure_assessment.pdf.
79. Wondrousch D., Böhme A., Thaens D., Ost N., Schüürmann G. Local electrophilicity predicts the toxicity-relevant reactivity of Michael acceptors. J Phys Chem Lett 2010, 1:1605-1610.