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Chedik L, Baybekov S, Marcou G, Cosnier F, Mourot-Bousquenaud M, Jacquenet S, Varnek A, Battais F. Benchmarking of BMDC assay and related QSAR study for identifying sensitizing chemicals. Regul Toxicol Pharmacol 2024; 149:105623. [PMID: 38631606 DOI: 10.1016/j.yrtph.2024.105623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 03/18/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024]
Abstract
The Bone-Marrow derived Dendritic Cell (BMDC) test is a promising assay for identifying sensitizing chemicals based on the 3Rs (Replace, Reduce, Refine) principle. This study expanded the BMDC benchmarking to various in vitro, in chemico, and in silico assays targeting different key events (KE) in the skin sensitization pathway, using common substances datasets. Additionally, a Quantitative Structure-Activity Relationship (QSAR) model was developed to predict the BMDC test outcomes for sensitizing or non-sensitizing chemicals. The modeling workflow involved ISIDA (In Silico Design and Data Analysis) molecular fragment descriptors and the SVM (Support Vector Machine) machine-learning method. The BMDC model's performance was at least comparable to that of all ECVAM-validated models regardless of the KE considered. Compared with other tests targeting KE3, related to dendritic cell activation, BMDC assay was shown to have higher balanced accuracy and sensitivity concerning both the Local Lymph Node Assay (LLNA) and human labels, providing additional evidence for its reliability. The consensus QSAR model exhibits promising results, correlating well with observed sensitization potential. Integrated into a publicly available web service, the BMDC-based QSAR model may serve as a cost-effective and rapid alternative to lab experiments, providing preliminary screening for sensitization potential, compound prioritization, optimization and risk assessment.
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Affiliation(s)
- Lisa Chedik
- Institut National de Recherche et de Sécurité Pour la Prévention des Accidents du Travail et des Maladies Professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 Rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France.
| | - Shamkhal Baybekov
- Laboratory of Chemoinformatics, UMR 7140 CNRS, University of Strasbourg, Strasbourg, France
| | - Gilles Marcou
- Laboratory of Chemoinformatics, UMR 7140 CNRS, University of Strasbourg, Strasbourg, France
| | - Frédéric Cosnier
- Institut National de Recherche et de Sécurité Pour la Prévention des Accidents du Travail et des Maladies Professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 Rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France
| | - Mélanie Mourot-Bousquenaud
- Institut National de Recherche et de Sécurité Pour la Prévention des Accidents du Travail et des Maladies Professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 Rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France
| | - Sandrine Jacquenet
- Institut National de Recherche et de Sécurité Pour la Prévention des Accidents du Travail et des Maladies Professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 Rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France
| | - Alexandre Varnek
- Laboratory of Chemoinformatics, UMR 7140 CNRS, University of Strasbourg, Strasbourg, France
| | - Fabrice Battais
- Institut National de Recherche et de Sécurité Pour la Prévention des Accidents du Travail et des Maladies Professionnelles (INRS), Dept Toxicologie et Biométrologie, 1 Rue du Morvan, 54519, Vandoeuvre-lès-Nancy, France
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2
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Brandmair K, Dising D, Finkelmeier D, Schepky A, Kuehnl J, Ebmeyer J, Burger-Kentischer A. A novel three-dimensional Nrf2 reporter epidermis model for skin sensitization assessment. Toxicology 2024; 503:153743. [PMID: 38341018 DOI: 10.1016/j.tox.2024.153743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/25/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024]
Abstract
Skin sensitization assessment has progressed from the use of animal models towards the application of New Approach Methodologies (NAMs). Several skin sensitization NAMs are accepted for regulatory use, but a majority relies on submerged in vitro cell cultures that limit their applicability domain, posing challenges for testing hydrophobic chemicals and mixtures. A newly developed three-dimensional (3D) Nrf2 reporter epidermis model for skin sensitization assessment is reported. This NAM may help to overcome these limitations. The NAM combines the in vivo-like biology and exposure conditions of 3D epidermis models with the reliability, convenience, and cost-effectiveness of secreted reporter gene technology. The Keap1-Nrf2-ARE pathway was chosen as the reporter gene read-out, as it is induced by most skin sensitizers and already adopted in OECD Test guideline 442D. Immortalized human primary keratinocytes (Ker-CT) were stably transfected with the pIGB-Nrf2-SEAP vector to construct a Nrf2 reporter cell line. Ker-CT Nrf2 reporter cells showed negligible basal expression of the Secreted Embryonic Alkaline Phosphatase (SEAP) reporter, which was induced 13.5-fold by exposure to the skin sensitizer cinnamic aldehyde (CA). Co-exposure to CA and the Nrf2 inhibitor glucocorticoid clobetasol propionate significantly suppressed the CA-induced SEAP expression, confirming dependance of the SEAP expression on Nrf2 activation. Using air-liquid interface and animal constituent free culture conditions, the Ker-CT Nrf2 reporter cells differentiated to stratified 3D epidermis models with an in vivo-like skin architecture and functional skin barrier. Evaluation of a Ker-CT Nrf2 reporter cell-based 2D assay by testing 10 conventional reference chemicals showed a predictive accuracy for skin sensitization potential of 80% and 70% compared to LLNA and human data in two independent laboratories and a high intra- and interlaboratory reproducibility. Moreover, the 3D epidermis models predicted 3 sensitizing and 2 non-sensitizing reference chemicals correctly in a first proof-of-concept study. Further investigations foresee the testing of additional chemicals, including hydrophobic compounds and mixtures to confirm the potential of the 3D epidermis models to broaden the applicability domain for NAM-based skin sensitization assessment.
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Affiliation(s)
- K Brandmair
- Beiersdorf AG, Beiersdorfstraße 1-9, Hamburg 20245, Germany
| | - D Dising
- Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, Cell and Tissue Technologies, Nobelstraße 12, Stuttgart 70569, Germany
| | - D Finkelmeier
- Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, Cell and Tissue Technologies, Nobelstraße 12, Stuttgart 70569, Germany
| | - A Schepky
- Beiersdorf AG, Beiersdorfstraße 1-9, Hamburg 20245, Germany
| | - J Kuehnl
- Beiersdorf AG, Beiersdorfstraße 1-9, Hamburg 20245, Germany
| | - J Ebmeyer
- Beiersdorf AG, Beiersdorfstraße 1-9, Hamburg 20245, Germany.
| | - A Burger-Kentischer
- Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, Cell and Tissue Technologies, Nobelstraße 12, Stuttgart 70569, Germany.
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de Ávila RI, Aleksic M, Zhu B, Li J, Pendlington R, Valadares MC. Non-animal approaches for photoallergenicity safety assessment: Needs and perspectives for the toxicology for the 21st century. Regul Toxicol Pharmacol 2023; 145:105499. [PMID: 37805107 DOI: 10.1016/j.yrtph.2023.105499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 09/07/2023] [Accepted: 09/28/2023] [Indexed: 10/09/2023]
Abstract
Certain chemicals and/or their byproducts are photoactivated by UV/VIS and trigger a dermal allergenic response, clinically recognized as photoallergic contact dermatitis (PACD). It is important to identify the chemicals which are potentially photoallergenic, not only for establishing the correct differential diagnosis between PACD and other photodermatoses, but also as causative agents which should be avoided as a preventative measure. Moreover, materials with photoallergenic properties need to be correctly identified to allow thorough safety assessments for their use in finished products (e.g. cosmetics). Development of methods for predicting photoallergenicity potential of chemicals has advanced at slow pace in recent years. To date, there are no validated methods for photosensitisation potential of chemicals for regulatory purposes, although it remains a required endpoint in some regions. The purpose of this review is to explore the mechanisms potentially involved in the photosensitisation process and discuss the methods available in the literature for identification of photosensitisers. The review also explores the possibilities of further research investment required to develop human-relevant new approach methodologies (NAMs) and next generation risk assessment (NGRA) approaches, considering the current perspectives and needs of the Toxicology for the 21st Century.
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Affiliation(s)
- Renato Ivan de Ávila
- Unilever Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, Bedfordshire, UK; Laboratory of Education and Research in in Vitro Toxicology (Tox in), Faculty of Pharmacy, Universidade Federal de Goiás, Goiânia, GO, Brazil.
| | - Maja Aleksic
- Unilever Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, Bedfordshire, UK
| | - Bin Zhu
- Unilever Research and Development Centre, Shanghai, China
| | - Jin Li
- Unilever Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, Bedfordshire, UK
| | - Ruth Pendlington
- Unilever Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, Bedfordshire, UK
| | - Marize Campos Valadares
- Laboratory of Education and Research in in Vitro Toxicology (Tox in), Faculty of Pharmacy, Universidade Federal de Goiás, Goiânia, GO, Brazil
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4
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Gautier F, Assaf Vandecasteele H, Tourneix F, van Vliet E, Alépée N, Bury D. Skin sensitisation prediction using read-across, an illustrative next generation risk assessment (NGRA) case study for vanillin. Regul Toxicol Pharmacol 2023; 143:105458. [PMID: 37453556 DOI: 10.1016/j.yrtph.2023.105458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 07/11/2023] [Accepted: 07/13/2023] [Indexed: 07/18/2023]
Abstract
Skin sensitisation is a key adverse human health effect to be addressed in the safety assessment of cosmetic ingredients. Regulatory demands and scientific progress have led to the development of a Next Generation Risk Assessment (NGRA) framework, relying on the use of New Approach Methodologies (NAM) Defined Approaches (DA) and read-across instead of generating animal data. This case study illustrates the application of read-across for the prediction of the skin sensitisation potential of vanillin at the hypothetical use concentration of 0.5% in a shower gel and face cream. A three-step process was applied to select the most suitable analogues based on their protein reactivity, structural characteristics, physicochemical properties, skin metabolism profile and availability of skin sensitisation data. The applied read-across approach predicted a weak skin sensitiser potential for vanillin corresponding with a Local Lymph Node Assay EC3 value of 10%. Based on this EC3 value a point of departure of 2500 μg/cm2 was derived, resulting in an acceptable exposure level (AEL) of 25 μg/cm2. Because the consumer exposure levels (CEL) for the face cream (13.5 μg/cm2) and shower gel (0.05 μg/cm2) scenarios were lower than the AEL, the NGRA concluded both uses as safe.
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Affiliation(s)
| | | | - Fleur Tourneix
- L'Oréal, Research & Innovation, Aulnay-Sous-Bois, France
| | - Erwin van Vliet
- Innovitox Consulting & Services, Regentenland 35, 3994TZ, Houten, the Netherlands
| | | | - Dagmar Bury
- L'Oréal, Research & Innovation, Clichy, France.
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Nakayama K, Zifle A, Fritz S, Fuchs A, Sakaguchi H, Miyazawa M. Incorporating integrated testing strategy (ITSv1) defined approach into read-across (RAx) in predicting skin sensitization potency: ITSv1-based RAx. Regul Toxicol Pharmacol 2023; 139:105358. [PMID: 36805910 DOI: 10.1016/j.yrtph.2023.105358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/19/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023]
Abstract
Recently, due to regulatory and ethical demands, new approach methodologies (NAMs), defined approaches (DAs), and read-across (RAx) have been used in the risk assessment of skin sensitization. Integrated testing strategy (ITS)v1 DA, adopted in OECD Guideline No. 497, can be used for skin sensitization potency categorization. However, ITSv1 DA alone is not used for further refinement of the potency prediction based on EC3 (the estimated concentration that produces a stimulation index of 3 in murine local lymph node assay) values. Moreover, there is no explicit approach to incorporating NAM/DA data into RAx to fill the data gap of EC3 values with high confidence. This study developed a strategy incorporating ITSv1 DA into RAx to predict skin sensitization potency: ITSv1-based RAx. To examine the reliability of this novel strategy, a case study with lilial, a fragrance material, was performed. Based on ITSv1-based RAx, the skin sensitization potency of lilial was determined by extrapolating the EC3 value of 9.5% for the suitable analogue bourgeonal, which was close to the historical EC3 value of 8.6%. The result suggested that the strategy can refine the prediction of EC3 values with high confidence and be useful for the risk assessment of skin sensitization.
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Affiliation(s)
- Kanako Nakayama
- Safety Science Research Laboratories, Kao Corporation, 2606 Akabane, Ichikai, Haga, Tochigi, 321-3497, Japan.
| | - Anne Zifle
- Safety & Toxicology, Kao Germany GmbH, Darmstadt, Germany
| | - Sabrina Fritz
- Safety & Toxicology, Kao Germany GmbH, Darmstadt, Germany
| | - Anne Fuchs
- Safety & Toxicology, Kao Germany GmbH, Darmstadt, Germany
| | - Hitoshi Sakaguchi
- Safety Science Research Laboratories, Kao Corporation, 2606 Akabane, Ichikai, Haga, Tochigi, 321-3497, Japan
| | - Masaaki Miyazawa
- Safety Science Research Laboratories, Kao Corporation, 2606 Akabane, Ichikai, Haga, Tochigi, 321-3497, Japan
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Gautier F, Tourneix F, Vandecasteele HA, Alepee N, Bury D. P22-26 Three steps to select analogues for skin sensitization prediction using read-across: an exemplary case study with vanillin. Toxicol Lett 2022. [DOI: 10.1016/j.toxlet.2022.07.740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ade N, Teluob S, Viricel A, Piroird C, Alépée N. Amending the U-SENS™ skin sensitization test method for interfering auto-fluorescent chemicals. Toxicol In Vitro 2022; 81:105353. [PMID: 35346800 DOI: 10.1016/j.tiv.2022.105353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/09/2022] [Accepted: 03/23/2022] [Indexed: 10/18/2022]
Abstract
Limitations of the applicability domain of new approach methodologies (NAM) present a major challenge for the testing of cosmetic ingredients in Europe, as the regulation does not allow to resort to in vivo test method. Therefore, research focused on overcoming such limitations of established in vitro test methods is frequently conducted. Here, we address a limitation of the U-SENS™, an in vitro skin sensitization test method that addresses the key event 3 on activation of dendritic cells of the adverse outcome pathway (AOP) for skin sensitization. The applicability domain of the U-SENS™ excludes autofluorescent substances that can interfere with the measurement of the expression of CD86, i.e., the primary readout. An evaluation of several fluorochromes identified APC as most suitable for testing auto-fluorescent chemicals. Acceptance criteria were reproducibly met when using the APC-labelled antibody. Equivalent performance in terms of reproducibility and skin sensitisation hazard assessment of the standard FITC-labelled antibodies and the APC-labelled antibodies was demonstrated by testing 40 substances. Finally, the value of the expanded technical applicability domain was highlighted with a case study using sulfuretin. In conclusion, we successfully demonstrated the expansion of the U-SENS™ applicability domain to interfering auto-fluorescent chemicals by using APC-labelled antibodies.
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Affiliation(s)
| | | | | | - Cécile Piroird
- L'Oréal, Research & Innovation, Aulnay-sous-Bois, France
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Gilmour N, Reynolds J, Przybylak K, Aleksic M, Aptula N, Baltazar MT, Cubberley R, Rajagopal R, Reynolds G, Spriggs S, Thorpe C, Windebank S, Maxwell G. Next generation risk assessment for skin allergy: Decision making using new approach methodologies. Regul Toxicol Pharmacol 2022; 131:105159. [PMID: 35311660 DOI: 10.1016/j.yrtph.2022.105159] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 01/11/2022] [Accepted: 03/14/2022] [Indexed: 10/18/2022]
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.
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Affiliation(s)
- N Gilmour
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK.
| | - J Reynolds
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - K Przybylak
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - M Aleksic
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - N Aptula
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - M T Baltazar
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - R Cubberley
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - R Rajagopal
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - G Reynolds
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - S Spriggs
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - C Thorpe
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - S Windebank
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - G Maxwell
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
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