Skin irritation and sensitization potential of oxidative hair dye substances evaluated with in vitro, in chemico and in silico test methods

Integration of the Natural Language Processing of Structural Information Simplified Molecular-Input Line-Entry System Can Improve the In Vitro Prediction of Human Skin Sensitizers

Natural language processing (NLP) technology has recently used to predict substance properties based on their Simplified Molecular-Input Line-Entry System (SMILES). We aimed to develop a model predicting human skin sensitizers by integrating text features derived from SMILES with in vitro test outcomes. The dataset on SMILES, physicochemical properties, in vitro tests (DPRA, KeratinoSensTM, h-CLAT, and SENS-IS assays), and human potency categories for 122 substances sourced from the Cosmetics Europe database. The ChemBERTa model was employed to analyze the SMILES of substances. The last hidden layer embedding of ChemBERTa was tested with other features. Given the modest dataset size, we trained five XGBoost models using subsets of the training data, and subsequently employed bagging to create the final model. Notably, the features computed from SMILES played a pivotal role in the model for distinguishing sensitizers and non-sensitizers. The final model demonstrated a classification accuracy of 80% and an AUC-ROC of 0.82, effectively discriminating sensitizers from non-sensitizers. Furthermore, the model exhibited an accuracy of 82% and an AUC-ROC of 0.82 in classifying strong and weak sensitizers. In summary, we demonstrated that the integration of NLP of SMILES with in vitro test results can enhance the prediction of health hazard associated with chemicals.

Hair Dyes Sensitization and Cross-Reactions: Challenges and Solutions: A Systematic Review of Hair Dye Allergens' Prevalence

Widespread use of oxidative hair dyes during the past decades has raised questions on the potential allergy reactions and their management, as well as prevention measures for both professionals and consumers. Allergic contact dermatitis can be elicited by various hair dye-related allergens, though the main problem remains with p-phenylenediamine and related aromatic amines. If allergy is suspected, patch testing identifies the responsible hapten. Individuals sensitized to specific permanent hair dyes substances should avoid the exposure to these chemicals, but also be aware of possible cross-sensitization to other similar compounds. Cross-reactions detected in patch-tested populations indicate that one cannot safely use alternatives, although cross-reactivity is not always clinically relevant. An open application hair dye allergy self-test is recommended by manufacturers for early detection of allergy predisposition in consumers, although the lack of standardized conditions makes the efficacy of this process doubtful. Appropriate use of hand gloves, especially nitrile, is the most efficient prevention measure for professional hand eczema. In this systematic review, we focus on cross-reactions among hair dye-related allergens and make an attempt to answer some, frequently encountered by physicians, questions, while presenting the prevalence of the hair dye-related allergens.

Application of ARE-reporter systems in drug discovery and safety assessment

The human body is continuously exposed to xenobiotics and internal or external oxidants. The health risk assessment of exogenous chemicals remains a complex and challenging issue. Alternative toxicological test methods have become an essential strategy for health risk assessment. As a core regulator of constitutive and inducible expression of antioxidant response element (ARE)-dependent genes, nuclear factor erythroid 2-related factor 2 (Nrf2) plays a critical role in maintaining cellular redox homeostasis. Consistent with the properties of Nrf2-mediated antioxidant response, Nrf2-ARE activity is a direct indicator of oxidative stress and thus has been used to identify and characterize oxidative stressors and redox modulators. To screen and distinguish chemicals or environmental insults that affect the cellular antioxidant activity and/or induce oxidative stress, various in vitro cell models expressing distinct ARE reporters with high-throughput and high-content properties have been developed. These ARE-reporter systems are currently widely applied in drug discovery and safety assessment. In the present review, we provide an overview of the basic structures and applications of various ARE-reporter systems employed for discovering Nrf2-ARE modulators and characterizing oxidative stressors.

Employment of cytology for in vitro skin irritation test using a reconstructed human epidermis model, Keraskin™

Skin irritation tests using reconstructed human epidermis (RhE) employ viability as an endpoint, but color interference or borderline results are often problematic. We examined whether the cytology of cells from treated RhE could determine skin irritancy. Six chemicals (three irritants; DnP, 1-B, PH, three non-irritants; DP, APA, HS) were evaluated in a RhE, Keraskin™. DP, HS, and PH were clearly classified with viability, but DnP, 1-B, and APA were often falsely determined, due to borderline values falling near the cutoff, 50%. In histology, the tissues treated with DnP, 1-B, and PH showed erosion of the stratum corneum, vacuolization, and necrosis in the basal layer. DP- and HS-treated tissues showed relatively normal morphology but APA induced necrosis similar to irritants. Cytology revealed that DnP, 1-B or PH depleted cells and induced irregular and abnormal cell shapes. In contrast, relatively regular and normal shapes and clear distinction between the nucleus and cytoplasm was observed for DP, APA and HS. To further confirm it, additional 10 substances, including false positives from OECD TG 439, were tested. Overall (16 substances in total), cytology: total area predicted the skin irritancy of test chemicals with the highest accuracy (87.5%) followed by cytology: cell count (81.3%), histology (75%) and viability (68.8%), confirming the utility of cytology as an alternative endpoint in the skin irritation test using RhE.

Development and validation of UPLC method for WST-1 cell viability assay and its application to MCTT HCE™ eye irritation test for colorful substances

WST-1 [Water Soluble Tetrazolium-1; 2-(4-Iodophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfophenyl)-2H-tetrazolium, monosodium salt)] is widely used in the cell viability assays replacing MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide). A water-soluble formazan dye (4-[1-(4-Iodophenyl)-5-(4-nitrophenyl)formaz-3-yl]-1,3-benzene disulfonate, disodium salt) is produced from the reduction of WST-1 tetrazolium, of which optical density at 450 nm is measured to evaluate cell viability. Colorful substances may interfere with spectrometric measurement, and a method to specifically detect WST-1 formazan is required. Here, a simple, rapid, sensitive, and specific ultra-performance liquid chromatography coupled to UV detector (UPLC-UV) was developed and validated for the WST-1 formazan. For the application to cell viability assay, the supernatant from WST-1 assay was injected without sample preparation procedure and a single run was completed within 5 min. Chromatographic separation was achieved on BEH C18 column (1.7 μm, 2.1 × 50 mm) using gradient elution with the mobile phase of water and acetonitrile. The standard curves were linear over the concentration range of 2.5-120 μg/mL WST-1 formazan, which encompasses WST-1 formazan concentrations from 2% cell viability to 2 fold of 100% cell viability. The intra- and inter-day precisions were measured to be below 5% and accuracies were within the range of 91.8-104.9%. The validated method was successfully applied to the test of colorful substances in vitro eye irritation test with a human cornea-like epithelium, and in vitro cytotoxicity in HaCaT, human keratinocyte cell line.