Next generation risk assessment for skin allergy: Decision making using new approach methodologies

Regul Toxicol Pharmacol. 2022 Jun:131:105159. doi: 10.1016/j.yrtph.2022.105159. Epub 2022 Mar 17.

Abstract

Our aim is to develop and apply next generation approaches to skin allergy risk assessment (SARA) that do not require new animal test data and better quantify uncertainties. Significant progress has been made in the development of New Approach Methodologies (NAMs), non-animal test methods, for assessment of skin sensitisation and there is now focus on their application to derive potency information for use in Next Generation Risk Assessment (NGRA). The SARA model utilises a Bayesian statistical approach to infer a human-relevant metric of sensitiser potency and a measure of risk associated with a given consumer exposure based upon any combination of human repeat insult patch test, local lymph node, direct peptide reactivity assay, KeratinoSens™, h-CLAT or U-SENS™ data. Here we have applied the SARA model within our weight of evidence NGRA framework for skin allergy to three case study materials in four consumer products. Highlighting how to structure the risk assessment, apply NAMs to derive a point of departure and conclude on consumer safety risk. NGRA based upon NAMs were, for these exposures, at least as protective as the historical risk assessment approaches. Through such case studies we are building our confidence in using NAMs for skin allergy risk assessment.

Keywords: Case study; Decision making; NAM; Next generation risk assessment; Non-animal test methods; Skin allergy risk assessment; Uncertainty.

MeSH terms

  • Animal Testing Alternatives / methods
  • Animals
  • Bayes Theorem
  • Cosmetics*
  • Decision Making
  • Dermatitis, Allergic Contact* / diagnosis
  • Dermatitis, Allergic Contact* / etiology
  • Hypersensitivity*
  • Risk Assessment / methods
  • Skin

Substances

  • Cosmetics