Next generation risk assessment of hair dye HC yellow no. 13: Ensuring protection from liver steatogenic effects

Commonly used acronym: NGRA

Scope of the method

The Method relates to
  • Human health
The Method is situated in
  • Regulatory use - Routine production
Type of method
  • Other

Description

Method keywords
  • NGRA
  • new approach methodologies
  • in vitro
  • in silico
  • PBK modelling
  • QSAR
  • read-across
  • liver steatosis
  • cosmetic safety assessment
  • hair dye
Scientific area keywords
  • Toxicology
  • risk assessment
  • computational modelling
  • Regulatory Science
  • Systems Toxicology
  • Chemical Safety
  • Mechanistic toxicology
  • Cosmetic regulation
Method description

This Next Generation Risk Assessment (NGRA) approach integrates in vitro bioactivity data, in silico modelling, and exposure-based modelling to assess the liver steatosis risk of the cosmetic hair dye ingredient HC Yellow No. 13. The workflow follows the principles of animal-free, exposure-led safety assessment and combines mechanistic data from human cell models with computational tools, including QSAR analysis, read-across, and physiologically based kinetic (PBK) modelling. Together, these components establish a weight-of-evidence evaluation to ensure that bioactivity levels observed in vitro are below those expected from consumer exposure. The approach demonstrates how integrated New Approach Methodologies (NAMs) can support regulatory decision-making under the EU Cosmetics Regulation without reliance on animal testing.

Lab equipment
  • - Standard cell culture facilities (biosafety cabinet, CO₂ incubator, microscope, centrifuge, and plate reader) for maintaining and treating human stem cell–derived hepatic cultures (hSKP-HPC).
  • - Analytical instrumentation includes a flow cytometer for semi-quantitative lipid accumulation analysis, and a spectrophotometric plate reader for colorimetric triglyceride assays.
  • - Computational tools include QSAR software, PBPK modelling platforms (e.g., GastroPlus), and data analysis software (e.g., R, PROAST).
Method status
  • History of use
  • Internally validated
  • Published in peer reviewed journal

Pros, cons & Future potential

Advantages
  • - This NGRA integrates multiple New Approach Methodologies (NAMs), including in vitro hepatocellular assays, in silico modelling, and PBK-based exposure estimation, to provide a fully animal-free, exposure-led safety assessment.
  • - It demonstrates how a mechanistic and tiered weight-of-evidence approach can ensure consumer protection while aligning with EU regulatory requirements.
  • - The method allows identification of liver steatosis potential at human-relevant concentrations, improves mechanistic transparency through AOP-based reasoning, and reduces uncertainty by combining diverse data streams.
Challenges
  • - The workflow’s main limitation lies in the current lack of validated and harmonised in vitro assays for repeated-dose liver toxicity.
  • - Quantitative integration of in vitro bioactivity with PBK-derived internal concentrations still relies on assumptions about metabolic competence and the relevance of chronic exposure.
  • - Data curation and interoperability between computational and experimental layers remain technically demanding, and regulatory acceptance of integrated NGRA frameworks is still evolving.
Modifications
  • - Ongoing work focuses on extending the approach to include omics-based mechanistic profiling, sensitivity analysis of PBK parameters, and integration with knowledge graph tools, such as TOXIN-KG, to support read-across justification.
  • - Future refinements will focus on improving the linkage between in vitro kinetics, exposure duration, and apical outcomes to strengthen quantitative risk characterisation.
  • - Cross-laboratory testing could enhance reproducibility and reliability for regulatory use.
Future & Other applications
  • - The method can be adapted for other cosmetic ingredients or industrial chemicals where hepatotoxicity, steatosis, or metabolic disruption are relevant endpoints.
  • - It is also applicable to broader NGRA case studies for repeated-dose systemic toxicity, helping to establish practical workflows for safety substantiation under the EU Cosmetics Regulation and REACH.
  • - With further optimisation, the framework could contribute to next-generation risk assessments across different organs and product sectors.

References, associated documents and other information

References

Sepehri, S., De Win, D., Heymans, A., Van Goethem, F., Rodrigues, R. M., Rogiers, V., & Vanhaecke, T. (2025). Next generation risk assessment of hair dye HC yellow no. 13: Ensuring protection from liver steatogenic effects. Regulatory Toxicology and Pharmacology, 159, 105794. https://doi.org/10.1016/j.yrtph.2025.105794

Associated documents
1-s2.0-S0273230025000248-main (2).pdf

Contact person

Sara Sepehri

Organisations

Vrije Universiteit Brussel (VUB)
In Vitro Toxicology and Dermato-Cosmetology (IVTD)
Belgium
Brussels Region