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Risk Assessment of Combined Exposure to Multiple Chemicals at the European Food Safety Authority: Principles, Guidance Documents, Applications and Future Challenges.

Irene CattaneoAlexander D KalianMatteo Riccardo Di NicolaBruno DujardinSara LevoratoLuc MohimontAlexis V NathanailEdoardo CarnessechiMaria Chiara AstutoJose V TarazonaGeorge E N KassAntoine K Djien LiemTobin RobinsonPaola ManiniChrister HogstrandPaul S PriceJean Lou C M Dorne
Published in: Toxins (2023)
Human health and animal health risk assessment of combined exposure to multiple chemicals use the same steps as single-substance risk assessment, namely problem formulation, exposure assessment, hazard assessment and risk characterisation. The main unique feature of combined RA is the assessment of combined exposure, toxicity and risk. Recently, the Scientific Committee of the European Food Safety Authority (EFSA) published two relevant guidance documents. The first one "Harmonised methodologies for the human health, animal health and ecological risk assessment of combined exposure to multiple chemicals" provides principles and explores methodologies for all steps of risk assessment together with a reporting table. This guidance supports also the default assumption that dose addition is applied for combined toxicity of the chemicals unless evidence for response addition or interactions (antagonism or synergism) is available. The second guidance document provides an account of the scientific criteria to group chemicals in assessment groups using hazard-driven criteria and prioritisation methods, i.e., exposure-driven and risk-based approaches. This manuscript describes such principles, provides a brief description of EFSA's guidance documents, examples of applications in the human health and animal health area and concludes with a discussion on future challenges in this field.
Keyphrases
  • human health
  • risk assessment
  • heavy metals
  • climate change
  • health risk assessment
  • public health
  • healthcare
  • rheumatoid arthritis
  • mental health
  • machine learning
  • drug delivery
  • drinking water
  • ankylosing spondylitis