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
- Human health
- Regulatory use - Routine production
- Other
Description
- NGRA
- new approach methodologies
- in vitro
- in silico
- PBK modelling
- QSAR
- read-across
- liver steatosis
- cosmetic safety assessment
- hair dye
- Toxicology
- risk assessment
- computational modelling
- Regulatory Science
- Systems Toxicology
- Chemical Safety
- Mechanistic toxicology
- Cosmetic regulation
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.
- - 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).
- History of use
- Internally validated
- Published in peer reviewed journal
Pros, cons & Future potential
- - 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.
- - 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.
- - 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.
- - 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
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
Contact person
Sara SepehriOrganisations
Vrije Universiteit Brussel (VUB)In Vitro Toxicology and Dermato-Cosmetology (IVTD)
Belgium
Brussels Region