Skip to main content
Log in

A simple procedure for estimating pseudo risk ratios from exposure to non-carcinogenic chemical mixtures

  • Regulatory Toxicology
  • Published:
Archives of Toxicology Aims and scope Submit manuscript

Abstract

Non-cancer risk assessment traditionally assumes a threshold of effect, below which there is a negligible risk of an adverse effect. The Agency for Toxic Substances and Disease Registry derives health-based guidance values known as Minimal Risk Levels (MRLs) as estimates of the toxicity threshold for non-carcinogens. Although the definition of an MRL, as well as EPA reference dose values (RfD and RfC), is a level that corresponds to “negligible risk,” they represent daily exposure doses or concentrations, not risks. We present a new approach to calculate the risk at exposure to specific doses for chemical mixtures, the assumption in this approach is to assign de minimis risk at the MRL. The assigned risk enables the estimation of parameters in an exponential model, providing a complete dose–response curve for each compound from the chosen point of departure to zero. We estimated parameters for 27 chemicals. The value of k, which determines the shape of the dose–response curve, was moderately insensitive to the choice of the risk at the MRL. The approach presented here allows for the calculation of a risk from a single substance or the combined risk from multiple chemical exposures in a community. The methodology is applicable from point of departure data derived from quantal data, such as data from benchmark dose analyses or from data that can be transformed into probabilities, such as lowest-observed-adverse-effect level. The individual risks are used to calculate risk ratios that can facilitate comparison and cost-benefit analyses of environmental contamination control strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Abadin HG, Chou CH, Llados FT (2007) Health effects classification and its role in the derivation of minimal risk levels: immunological effects. Regul Toxicol Pharmacol 47(3):249–256

    Article  CAS  PubMed  Google Scholar 

  • ATSDR (2004) Interaction profile for: benzene, toluene, ethylbenzene, and xylenes (BTEX). Atlanta, GA

    Google Scholar 

  • ATSDR (2012) Minimum risk levels (MRLs) for hazardous substances. http://www.atsdr.cdc.gov/mrls/mrllist.asp. Accessed 3 March 2012

  • Crump KS (1984) A new method for determining allowable daily intakes. Fundam Appl Toxicol 4(5):854–871

    Article  CAS  PubMed  Google Scholar 

  • DeVito MJ, Diliberto JJ, Ross DG, Menache MG, Birnbaum LS (1997) Dose–response relationships for polyhalogenated dioxins and dibenzofurans following subchronic treatment in mice. I. CYP1A1 and CYP1A2 enzyme activity in liver, lung, and skin. Toxicol Appl Pharmacol 147(2):267–280

    Article  CAS  PubMed  Google Scholar 

  • EPA (1989a) Interim procedures for estimating risks associated with exposure to mixtures of chlorinated dibenzo-p-dioxins and dibenzofurans (CDDs and CDFs) and 1989 update. Washington, Dc

  • EPA (1989b) Risk assessment guidance for superfund. Volume I. Human health evaluation manual (Part A). Washington, DC: U.S. Environmental Protection Agency, Office of Emergency and Remedial Response. EPA/540/1-89/001

  • EPA (1991) Role of the baseline risk assessment in superfund remedy selection decisions. Washington, DC

  • EPA (2000) Benchmark dose technical guidance document. EP A/630/R-00/001. Washington, DC

  • EPA (2005) Guidelines for carcinogen risk assessment. Risk Assessment Forum, U.S. Environmental Protection Agency, Washington

    Google Scholar 

  • EPA. 2012. Integrated risk information system (IRIS). http://www.epa.gov/IRIS/. Accessed 3 March 2012

  • EPA. U.S. Environmental Protection Agency (1986) Guidelines for the health risk assessment of chemical mixtures. Fed Reg 51:34014–34025

    Google Scholar 

  • Gaylor D, Ryan L, Krewski D, Zhu Y (1998) Procedures for calculating benchmark doses for health risk assessment. Regul Toxicol Pharmacol 28(2):150–164

    Article  CAS  PubMed  Google Scholar 

  • Gaylor DW, Kodell RL, Chen JJ, Krewski D (1999) A unified approach to risk assessment for cancer and noncancer endpoints based on benchmark doses and uncertainty/safety factors. Regul Toxicol Pharmacol 29(2 Pt 1):151–157

    Article  CAS  PubMed  Google Scholar 

  • Hamm JT, Chen CY, Birnbaum LS (2003) A mixture of dioxins, furans, and non-ortho PCBs based upon consensus toxic equivalency factors produces dioxin-like reproductive effects. Toxicol Sci 74(1):182–191

    Article  CAS  PubMed  Google Scholar 

  • Kortenkamp A, Evans R, Faust M, Kalberlah F, Scholze M, Schuhmacher-Wolz U (2012) Investigation of the state of the science on combined actions of chemicals in food through dissimilar modes of action and proposal for science-based approach for performing related cumulative risk assessment. http://www.efsa.europa.eu/en/efsajournal/doc/232e.pdf. Accessed 1 May 2013

  • Mumtaz MM, De Rosa CT, Durkin PR (1994) Approaches and challenges in risk assessments of chemical mixtures. In: Yang RSH (ed) Toxicology of chemical mixtures: case studies, mechanisms and novel approaches. Academic Press, New York, pp 565–597

    Chapter  Google Scholar 

  • Mumtaz MM, Poirier KA, Colman JT (1997) Risk assessment for chemical mixtures: fine-tuning the hazard index approach. J Clean Technol Environ Toxicol Occup Med 6:189–204

    CAS  Google Scholar 

  • National Research Council [NRC] (1989) Mixtures. In: Drinking water and health, vol 9. National Academy of Sciences, National Research Council, Safe Drinking Water Committee. National Academy Press, Washington, 93–107, 121–132, 168–170

  • National Research Council [NRC] (2009) Science and decisions: advancing risk assessment. The National Academies Press, Washington

    Google Scholar 

  • Newman SC (2001) Biostatistical methods in epidemiology. John Wiley & Sons, New York

    Google Scholar 

  • OEHHA (2010) Proposition 65 in plain language. Available: Proposition 65 in plain language. Accessed 3 March 2012

  • Pohl HR, Abadin HG (1995) Utilizing uncertainty factors in minimal risk levels derivation. Regul Toxicol Pharmacol 22(2):180–188

    Article  CAS  PubMed  Google Scholar 

  • Sand S, Portier CJ, Krewski D (2011) A signal-to-noise crossover dose as the point of departure for health risk assessment. Environ Health Perspect 119(12):1766–1774

    Article  PubMed Central  PubMed  Google Scholar 

  • Toyoshiba H, Walker NJ, Bailer AJ, Portier CJ (2004) Evaluation of toxic equivalency factors for induction of cytochromes P450 CYP1A1 and CYP1A2 enzyme activity by dioxin-like compounds. Toxicol Appl Pharmacol 194(2):156–168

    Article  CAS  PubMed  Google Scholar 

  • Van den Berg M, Birnbaum LS, Denison M, De Vito M, Farland W, Feeley M et al (2006) The 2005 World Health Organization reevaluation of human and Mammalian toxic equivalency factors for dioxins and dioxin-like compounds. Toxicol Sci 93(2):223–241

    Article  PubMed Central  PubMed  Google Scholar 

  • Walker NJ, Crockett PW, Nyska A, Brix AE, Jokinen MP, Sells DM et al (2005) Dose-additive carcinogenicity of a defined mixture of “dioxin-like compounds”. Environ Health Perspect 113(1):43–48

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

The authors declare they have no competing financial interests. The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the Centers of Disease Control and Prevention/Agency for Toxic Substances and Disease Registry.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christopher Portier.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 280 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Scinicariello, F., Portier, C. A simple procedure for estimating pseudo risk ratios from exposure to non-carcinogenic chemical mixtures. Arch Toxicol 90, 513–523 (2016). https://doi.org/10.1007/s00204-015-1467-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00204-015-1467-z

Keywords

Navigation