Tag Archive for: Point-of-Departure

Joint poster with L’Oreal: Point of Departure for risk assessment

Improved Confidence of Quantitative Sensitizing Potency Assessment for Point of Departure Using GARD®skin Dose-Response


Presented at SOT and Eurotox 2024

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Conclusion

In conclusion, the readouts from GARDskin Dose-Response derive a quantitative continuous potency estimate of skin sensitizers that may be used directly as a PoD for a seamless integration into downstream NGRA.

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Abstract

Identification of skin sensitization hazard and potency characterization are central aspects of risk assessment of chemicals. Current legislation advocates a transition from hazard assessment using in vivo methods to UN GHS potency subclassification and quantitative risk assessment by use of New Approach Methodologies (NAM:s) as well as Defined Approaches (DA). However, the ability of NAM assays to quantitatively estimate sensitizing potency and thereby establish a point of departure (POD) for next-generation risk assessment (NGRA) strategies is currently lacking.

To this end, the GARDskin Dose-Response (DR) method, adapted from the OECD TG 442E method GARDskin, was recently introduced. The GARDskin DR method evaluates test chemicals in a titrated range of concentrations, in order to investigate the dose-response relationship between the output from the GARDskin prediction algorithm (Decision Values; DV:s) and test chemical concentration. The combined information can be used to derive a quantitative estimation of sensitizing potency, defined as the cDV0-value, i.e, the least required dose required to elicit a positive response by the prediction model.

The current work focuses on optimizing the ability of GARDskin DR to derive a quantitative POD based on conversion to a composite Potency Value (PV; µg/cm2), taking into account both human and in vivo reference data sources. A total of 25 chemicals were used to construct predictive regression models fitted to reference PV:s. Results show that the updated models fitted to reference PV:s produced more accurate potency predictions compared with models fitted with, and aiming to predict, only LLNA EC3 and NOEL, respectively. Mean fold-change errors ranged between 2.8 and 3.2, with predicted POD:s being within or close to the range of the variation of the historical in vivo data. In addition, uncertainty in predictions was reduced, as estimated by a minimum 2-fold reduction of 95%-confidence intervals, when comparing models fitted to reference PV:s with models fitter with only LLNA EC3 and human NOEL, respectively.

In conclusion, these improvements constitute a major step forward for the ability of NAM:s to assess quantitative sensitizing potency. It demonstrates how GARDskin Dose-Response can accurately estimate a POD and be incorporated into downstream strategies for quantitative risk assessment (QRA), to ultimately contribute to the assessment of safe use levels of chemicals.

Keywords: NAM, GARDskin Dose-Response, Sensitizing potency, Quantitative risk assessment, Point of departure

Joint poster with RIFM and IFF: PoD for NGRA, a case study using isocyclocitral

The GARDskin Dose-Response assay for determination of a point-of-departure (PoD) for Next Generation Risk Assessment (NGRA) of skin sensitizers: A case study using isocyclocitral


Presented at Eurotox 2023

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Conclusion

  • The continous readout from the assay is reproducible and the assay predicts LLNA EC3 and human NESIL values with high correlation to reference benchmark data (geometric mean fold-misprediction factors of 3.8 and 2.5 respectively)
  • The assay provides a nice tool for the fragrance industry to predict the NESIL value which can be used for conducting the quantitative risk assessment for generating the IFRA standard.

Abstract

New Approach Methods (NAMs) for the assessment of skin sensitizers have been adopted as OECD Test Guidelines (TGs), supporting hazard- and GHS potency classifications. However, more granular potency information, preferably on a continuous scale, is needed to derive a point-of-departure (PoD) for Next Generation Risk Assessment (NGRA) of new chemical entities, which still represents a missing element in the application of NAMs for sensitization assessments.

The GARDskin assay (OECD TG 442E) provides a novel and mechanistically different method to monitor the Key Events (KE) in the Adverse Outcome Pathway (AOP) for skin sensitization and is the first harmonized test guideline based on genomics and machine leaning. A modified version of the validated protocol incorporating dose-response measurements has recently been described which uses linear models for the prediction of LLNA EC3/Human No Expected Sensitization Induction Levels (NESIL) values.

The aim of the following study, which represents a cross-sector collaboration involving industry, assay developer, and a non-profit research institute, were to perform a pre-validation exercise to evaluate the precision and reproducibility of the continous potency predictions from the GARDskin dose-response assay, and to demonstrate how the derived continous potency predictions can be implemented into available NGRA-framework to determine safe use levels in consumer products.

Predictive performance was estimated in a blinded study by evaluating a total of 17 fragrance materials, and reproducibility of the continous predictions was assessed by evaluating 11 of the materials in three replicate experiments. Results illustrate that predicted LLNA EC3/human NESIL values from the GARDskin Dose-response assay correlate well with reference data (geometric mean fold-error: 3.8 and 2.5, respectively), and that the continuous potency predictions are reproducible between experiments (geometric mean fold-change: 3.1). A case study using isocyclocitral was used to illustrate how the assay can be implemented into an NGRA-framework, which is an exposure driven risk assessment methodology. The predicted NESIL value from GARDskin Dose-response was used within a weight-of-evidence  approach to derive a PoD for use in QRA. Sensitization assessment factors were applied to the PoD to determine acceptable exposure levels at which no skin sensitization induction would be expected for different product types based on exposure.

In conclusion, the results reported from this study demonstrate that the predicted potency values from the GARDskin Dose-Response assay are reproducible between experiments and show good concordance with the published values. The case study illustrates a proof of concept and establish the assay as a relevant source of information to derive NESIL values for conducting QRA evaluations for fragrance materials without any new animal data.

 

 

 

 

Joint poster with RIFM and IFF: PoD determination of fragrance materials

GARDskin Dose-Response assay for PoD determination of fragrance materials and its application in conducting Quantitative Risk Assessment (QRA)


Presented at SOT 2023


Download a copy

 

 

Conclusion

  • The continous readout from the assay is reproductible and the assay predicts LLNA EC3 and human NESIL values with high correlation to reference benchmark data (geometric mean fold-misprediction factors of 3.8 and 2.5 respectively).
  • The assay provides a nice tool for the fragrance industry to predict the NESIL value to be used for conducting the quantitative risk assesment for generating the IFRA standard.

Abstract

The global fragrance industry applies Quantitative risk assessment (QRA) to develop risk management practices (IFRA Standards) for ingredients that are identified as potential dermal sensitizers. An important step in QRA is determination of a ”No Expected Sensitization Induction Level” (NESIL), which has historically been determined using human data with the support of animal data (e.g., murine local lymph node assay (LLNA). The EC3 value determined in the LLNA is used as the guidance for selection of the dose level in HRIPTs (Human Repteated Insult Patch Test) to confirm a NESIL value. The fragrance industry has adopted new approach methodologies (NAM) to address skin sensitization. Although several NAMs for identifying skin sensitizers have been accepted as Test Guidelines by OECD, these methods have thus far been validated only for hazard identification. Since a NESIL value is a key requirement to evaluate sensitizing potency for conducting QRA evaluations, development of a NAM-based strategy capable of providing potency data in the form of NESIL remains a high priority for the fragrance industry. The in vitro GARDskin assay was recently adopted by the OECD (TG 442E) for the hazard identification of skin sensitizers. Continuous potency predictions are derived using a modified protocol that incorporates dose-response measurements. Linear regression models have further been developed to predict LLNA EC3 and human NESIL values. The aim of the study was to evaluate the precision and reproducibility of the continuous potency predictions from the GARDskin Dose-Response assay. A total of 17 test materials were evaluated, 11 of which were evaluated in three blinded studies separated in time. Preliminary results indicated that the GARDskin Dose-Response model predicted LLNA EC3 values and human NESIL values with geometric mean fold-misprediction factors of 3.8 and 2.5, respectively. For comparative reasons, the LLNA EC3 predicted the human NESIL values with a fold-misprediction factor of 3.7 in the same dataset. Results from the repeated assessment of the test materials were reproducible, with an estimated geometric mean range of fold-changes between replicates of 2.9. Using isocyclocitral (CAS 1335-66-6) as an example, a QRA was conducted to determine its safe use levels in different consumer product types. The results demonstrate that the LLNA EC3 values and the human NESIL values predicted from the GARDskin Dose-Response assay are reproducible between experiments and show good concordance with the published NESIL and EC3 values. Together with the reported performance data, this represents a major step towards the establishment of the assay as a relevant source of information to derive NESIL values for conducting QRA evaluations for fragrance materials to ensure product safety while avoiding the generation of new animal data.