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An overall risk probability-based method for quantification of synergistic and antagonistic effects in health risk assessment for mixtures: theoretical concepts

  • 15th International Symposium on Toxicity Assessment
  • Published:
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Abstract

Purpose

In the assessment of health risks of environmental pollutants, the method of dose addition and the method of independent action are used to assess mixture effects when no synergistic and/or antagonistic effects are present. Currently, no method exists to quantify synergistic and/or antagonistic effects for mixtures. The purpose of this paper is to develop the theoretical concepts of an overall risk probability (ORP)-based method to quantify the synergistic and antagonistic effects in health risk assessment for mixtures.

Method

The ORP for health effects of environmental chemicals was determined from the cumulative probabilities of exposure and effects. This method was used to calculate the ORP for independent mixtures and for mixtures with synergistic and antagonistic effects.

Results

For the independent mixtures, a mixture ORP can be calculated from the product of the ORPs of individual components. For systems of interacting mixtures, a synergistic coefficient and an antagonistic coefficient were defined respectively to quantify the ORPs of each individual component in the mixture. The component ORPs with synergistic and/or antagonistic effects were then used to calculate the total ORP for the mixture.

Conclusions

An ORP-based method was developed to quantify synergistic and antagonistic effects in health risk assessment for mixtures. This represents a first method to generally quantify mixture effects of interacting toxicants.

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References

  • Bliss CI (1939) The toxocity of poisons applied jointly. Ann Appl Biol 26:585–615

    Article  CAS  Google Scholar 

  • Bosgra S, van der Voet H, Boon P, Muller AK, Bos P, Slob W (2007) An integrated framework for probabilistic cumulative risk assessment of chemicals in food. Toxicol Lett 172:S100–S101

    Article  Google Scholar 

  • Bosgra S, van der Voet H, Boon PE, Slob W (2009) An integrated probabilistic framework for cumulative risk assessment of common mechanism chemicals in food: an example with organophosphorus pesticides. Regul Toxicol Pharmacol 54(2):124–133

    Article  CAS  Google Scholar 

  • Brian JV, Harris CA, Scholze M, Backhaus T, Booy P, Lamoree M, Pojana G, Jonkers N, Runnalls T, Bonfa A, Marcomini A, Sumpter JP (2005) Accurate prediction of the response of freshwater fish to a mixture of estrogenic chemicals. Environ Heal Perspect 113(6):721–728

    Article  CAS  Google Scholar 

  • Cao Q (2010) Behaviour and health risk assessment of endocrine disrupting chemicals from wastewater, PhD Thesis. Griffith University, Brisbane, Australia

  • Cao Q, Yu Q, Connell DW (2010) Fate simulation and risk assessment of endocrine disrupting chemicals in a reservoir receiving recycled wastewater. Sci Total Environ 408(24):6243–6250

    Article  CAS  Google Scholar 

  • Cao Q, Yu Q, Connell DW (2011) Health risk characterisation for environmental pollutants with a new concept of overall risk probability. J Hazard Mater 187(1–3):480–487

    Article  CAS  Google Scholar 

  • Carriger JF, Rand GM (2008) Aquatic risk assessment of pesticides in surface waters in and adjacent to the Everglades and Biscayne National Parks: II. Probabilistic analyses. Ecotoxicology 17(7):680–696

    Article  CAS  Google Scholar 

  • Chowdhury KH, Husain T, Veitch B, Hawboldt K (2009) Probabilistic risk assessment of polycyclic aromatic hydrocarbons (PAHs) in produced water. Hum Ecol Risk Assess 15(5):1049–1063

    Article  CAS  Google Scholar 

  • Christiansen S, Scholze M, Dalgaard M, Vinggaard AM, Axelstad M, Kortenkamp A, Hass U (2009) Synergistic disruption of external male sex organ development by a mixture of four antiandrogens. Environ Heal Perspect 117(12):1839–1846

    CAS  Google Scholar 

  • Djohan D, Yu J, Connell D, Christensen E (2007) Health risk assessment of chlorobenzenes in the air of residential houses using probabilistic techniques. J Toxicol Environ Health Part A 70(19):1594–1603

    Article  CAS  Google Scholar 

  • Hamidin N (2009) Human risk assessment of trace chemicals in the resdential environment using probabilistic techniques, PhD Thesis. Griffith University, Brisbane, Australia

  • Hamidin N, Yu QJ, Connell DW (2008) Human health risk assessment of chlorinated disinfection by-products in drinking water using a probabilistic approach. Water Res 42(13):3263–3274

    Article  CAS  Google Scholar 

  • Jager T, den Hollander HA, van der Poel P, Rikken MGJ, Vermeire T (2001) Probabilistic environmental risk assessment for dibutylphthalate (DBP). Hum Ecol Risk Assess 7(6):1681–1697

    Article  CAS  Google Scholar 

  • Johnston JJ, Snow JL (2007) Population-based fish consumption survey and probabilistic methylmercury risk assessment. Hum Ecol Risk Assess 13(6):1214–1227

    Article  CAS  Google Scholar 

  • Loewe S, Muischneck K, Uber H (1926) Kombinationswirkungen. Archiv fur Experimentelle Pathologie Pharmacologie 114:313–326

    CAS  Google Scholar 

  • Mumtaz MM, Durkin RC (1992) A weight-of-evidence scheme for assessing interactions in chemical mixtures. Toxicol Ind Heal 8(6):377–406

    CAS  Google Scholar 

  • Silva E, Rajapakse N, Kortenkamp A (2002) Something from “nothing”—eight weak estrogenic chemicals combined at concentrations below NOECs produce significant mixture effects. Environ Sci Technol 36(8):1751–1756

    Article  CAS  Google Scholar 

  • Sofuoglu SC, Aslan G, Inal F, Sofuoglu A (2011) An assessment of indoor air concentrations and health risks of volatile organic compounds in three primary schools. Int J Hyg Environ Health 214(1):38–46

    Article  Google Scholar 

  • Solomon K, Giesy J, Jones P (2000) Probabilistic risk assessment of agrochemicals in the environment. Crop Prot 19(8–10):649–655

    Article  Google Scholar 

  • Straub JO, Stewart KM (2007) Deterministic and probabilistic acute-based environmental risk assessment for naproxen for western Europe. Environ Toxicol Chem 26(4):795–806

    Article  CAS  Google Scholar 

  • Sumpter JP, Johnson AC, Williams RJ, Kortenkamp A, Scholze M (2006) Modeling effects of mixtures of endocrine disrupting chemicals at the river catchment scale. Environ Sci Technol 40(17):5478–5489

    Article  CAS  Google Scholar 

  • Thompson KM, Graham JD (1996) Going beyond the single number: using probabilistic risk assessment to improve risk management. Hum Ecol Risk Assess 2(4):1008–1034

    Article  Google Scholar 

  • Thorpe KL, Gross-Sorokin M, Johnson I, Brighty G, Tyler CR (2006) An assessment of the model of concentration addition for predicting the estrogenic activity of chemical mixtures in wastewater treatment works effluents. Environ Heal Perspect 114:90–97

    Article  Google Scholar 

  • US EPA (1999) Guidance for conducting health risk assessment of chemical mixtures. Available at: www.epa.gov/pdfs/mixtures.pdf

  • US EPA (2001) Risk assessment guidance for superfund: volume III—part A, process for conducting probabilistic risk assessment. Available at: www.epa.gov/superfund/RAGS3A/index.htm

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Correspondence to Qiming J. Yu.

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Responsible editor: Philippe Garrigues

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Yu, Q.J., Cao, Q. & Connell, D.W. An overall risk probability-based method for quantification of synergistic and antagonistic effects in health risk assessment for mixtures: theoretical concepts. Environ Sci Pollut Res 19, 2627–2633 (2012). https://doi.org/10.1007/s11356-012-0878-0

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  • DOI: https://doi.org/10.1007/s11356-012-0878-0

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