UN GHS Research Articles

Evaluating the QileX-RhE skin corrosion test for chemical subcategorization in accordance with OECD TG 431

Skin corrosion testing is integral to evaluating the potential harm posed by chemicals, impacting regulatory decisions on safety, transportation, and labeling. Traditional animal testing methods are giving way to in vitro alternatives, such as reconstructed human epidermis (RhE) models, aligning with evolving ethical standards. This study evaluates the QileX-RhE test system's performance for chemical subcategorization within the OECD TG 431 framework. Results demonstrate its ability to differentiate subcategories, accurately predicting 83% of UN GHS Category 1A and 73% of UN GHS Category 1B/1C chemicals with 100% sensitivity in corrosive prediction. Additionally, this study provides a comprehensive assessment of the test method's performance by employing nuanced parameters such as positive predictive value (PPV), negative predictive value (NPV), post-test odds and likelihood rations, offering valuable insights into the applicability and effectiveness of the QileX-RhE test method.

Development of a defined approach for eye hazard identification of solid chemicals according to the three UN GHS categories.

Currently there are two OECD-adopted defined approaches (DA) for eye hazard identification of non-surfactant liquids (OECD TG 467). The current study aimed to develop a DA for eye hazard identification of solid chemicals according to the three UN GHS categories (Cat.1, Cat. 2, No Cat.): the DAS. The DAS combines two test methods described in OECD TG 437 and TG 492. The DAS was developed based on in-depth statistical analysis of a database on solids containing in vitro and historically curated in vivo Draize eye test data. The performance of the DAS was assessed by comparing the predictions with the classification based on in vivo Draize eye test data, on the one hand, and with the performance criteria established by the OECD expert group, on the other hand. In a first tier of the DAS, the SkinEthic™ HCE EIT method (TG 492) is used to distinguish No Cat. from classified substances. For classified substances, the BCOP LLBO method (TG 437) is used to identify Cat. 1, and the remaining solids are predicted Cat. 2. In summary, 77.4% Cat. 1 (N=31), 52.3% Cat. 2 (N=18), and 70.0% of No Cat. (N=60) solids were correctly identified compared to the classification based on the Draize eye test. The percentage of correct predictions met the minimum OECD performance values of 75% Cat. 1, 50% Cat. 2, and 70% No Cat., and the percentage of mispredictions was below the established maximum values. Therefore, inclusion of the DAS in OECD TG 467 has been achieved.

Potency classification of isothiazolinone compounds based on defined approaches of skin sensitization in OECD GL 497.

Regulatory decisions for skin sensitization are now based on adverse outcome pathway (AOP) and integrated approaches to testing and assessment (IATA). Based on these, Organisation for Economic Co-operation and Development (OECD) guidelines on defined approaches for skin sensitization were adopted with a fixed data interpretation procedure (DIP). In the guidelines, "Defined Approaches" (DA) on skin sensitization uses the results from multiple information sources of in chemico, in vitro, and in silico data to achieve an equivalent predictive capacity as those of the animal tests. In this review, we evaluated the skin sensitization of eleven isothiazolinone compounds including 4,5-Dichloro-2-octyl-3(2H)-isothiazolone (DCOIT), 2-n-Octyl-4-isothiazolin-3-one (OIT), 2-Methyl-4-isothiazolin-3-one (MIT), 1,2-Benzisothiazolin-3-one (BIT), 1,2-Benzisothiazolin-3-one, 2-butyl (BBIT), 5-Chloro-2-methyl-4-isothiazolin-3-one (CMIT), 2-methyl-4,5-trimethylene-4-isothiazolin-3-one (MTMIT), 2-methyl-1,2-benzothiazol-3-one (MBIT), 2-methyl-1,2-benzothiazole-3-thione (MBIT-S), 1,2-benzisothiazolin-3-one, 2-methyl-, 1,1-dioxide (BBIT-O), and a mixture of CMIT/MIT. Data from direct peptide reactivity assay (DPRA), human cell line activation (h-CLAT) test, and quantitative structure activity relationship (QSAR) Toolbox were evaluated and were applied to the DIP to derive a prediction of hazard identification and a potency classification. Among the evaluated chemicals, six isothiazolinone compounds were classified to be UN GHS 1A, one compound to be UN GHS 1, and four compounds could not be classified due to lack of data. The results of sensitizer chemicals were found to coincide well with those of in vivo test.

In Silico Prediction of Eye Irritation Using Hansen Solubility Parameters and Predicted pKa Values.

An in silico method has been developed that permits the binary differentiation between pure liquids causing serious eye damage or eye irritation, and pure liquids with no need for such classification, according to the UN GHS system. The method is based on the finding that the Hansen Solubility Parameters (HSP) of a liquid are collectively important predictors for eye irritation. Thus, by applying a two-tier approach in which in silico predicted pKa values (firstly) and a trained model based solely on in silico-predicted HSP data (secondly) were used, we have developed, and validated, a fully in silico approach for predicting the outcome of a Draize test (in terms of UN GHS Cat. 1/Cat. 2A/Cat. 2B or UN GHS No Cat.) with high validation set performance (sensitivity = 0.846, specificity = 0.818, balanced accuracy = 0.832) using SMILES only. The method is applicable to pure non-ionic liquids with molecular weight below 500 g/mol, fewer than six hydrogen bond donors (e.g. nitrogen-hydrogen or oxygen-hydrogen bonds) and fewer than eleven hydrogen bond acceptors (e.g. nitrogen or oxygen atoms). Due to its fully in silico characteristics, this method can be applied to pure liquids that are still at the desktop design stage and not yet in production.

무기과산화물 화학물질별 산화 위험성에 관한 연구

Sodium percarbonate is currently classified as an inorganic peroxide in accordance with [Appendix 1] of the ‘Act on the safety control of dangerous substances’ and is managed as a ‘specified quantity of 50kg’. However, sodium percarbonate, which is used as a bleaching agent at home, has a different physical hazard of oxidation from lithium peroxide and sodium peroxide, which are managed as other inorganic peroxides. Therefore, in this study, we intend to compare and analyze the differences through tests according to laws, UN GHS global standards and use them as fire investigation basic data in accidents caused by oxidizing soilds.

Development of a Defined Approach for Eye hazard identification of chemicals having surfactant properties according to the three UN GHS categories

The purpose of this study was to develop a defined approach (DA) for eye hazard identification according to the three UN GHS categories for surfactants (DASF). The DASF is based on a combination of Reconstructed human Cornea-like Epithelium test methods (OECD TG 492; EpiOcular™ EIT and SkinEthic™ HCE EIT) and the modified Short Time Exposure (STE) test method (0.5% concentration of the test substance after a 5-min exposure).DASF performance was assessed by comparing the prediction results with the historical in vivo data classification and against the criteria established by the OECD expert group on eye/skin.The DASF yielded a balanced accuracy of 80.5% and 90.9% of Cat. 1 (N = 22), 75.0% of Cat. 2 (N = 8), and 75.5% of No Cat. (N = 17) surfactants were correctly predicted. The percentage of mispredictions was below the established maximum values except for in vivo No Cat. surfactants that were over-predicted as Cat. 1 (5.6%, N = 17), with a maximum value set at 5%. The percentage of correct predictions did meet the minimum performance values of 75% Cat. 1, 50% Cat. 2, and 70% No Cat. established by the OECD experts. The DASF has shown to be successful for eye hazard identification of surfactants.

Validation study for in vitro skin irritation test using reconstructed human skin equivalents constructed by layer-by-layer cell coating technology.

The aim of this study is to validate an in vitro skin irritation test (SIT) using three-dimensional reconstructed human epidermal (RhE) skin equivalents prepared by layer-by-layer (LbL) method (LbL-3D Skin) in a series of interlaboratory studies. The goal of these validation studies is to evaluate the ability of this in vitro test to reliably discriminate skin irritant from nonirritant chemicals, as defined by OECD and UN GHS. This me-too validation study is to assess the within- and between-laboratory reproducibility, as well as the predictive capacity, of the LbL-3D Skin SIT in accordance with performance standards for OECD TG 439. The developed skin model, LbL-3D Skin had a highly differentiated epidermis and dermis, similar to the validated reference methods (VRM) and native human skin. The quality parameters (cell survival in controls, tissue integrity, and barrier function) were similar to VRM and in accordance with OECD TG 439. The LbL-3D Skin SIT validation study was performed by three participating laboratories and consisted of three independent tests using 20 reference chemicals. The results obtained with the LbL-3D Skin demonstrated high within-laboratory and between-laboratory reproducibility, as well as high accuracy for use as a stand-alone assay to distinguish skin irritants from nonirritants. The predictive potency of LbL-3D Skin SIT using total 54 test chemicals were comparable to those in other RhE models in OECD TG 439. The validation study demonstrated that LbL-3D Skin has proven to be a robust and reliable method for predicting skin irritation.

SOC-V-06 New classification approach for Human Predictive Patch Test (HPPT) results under the UN GHS improves skin sensitisation potency sub-categorisation and weight-of-evidence assessments

SOC-V-06 New classification approach for Human Predictive Patch Test (HPPT) results under the UN GHS improves skin sensitisation potency sub-categorisation and weight-of-evidence assessments

Mixtures-Inclusive In Silico Models of Ocular Toxicity Based on United States and International Hazard Categories.

Computational modeling grounded in reliable experimental data can help design effective non-animal approaches to predict the eye irritation and corrosion potential of chemicals. The National Toxicology Program (NTP) Interagency Center for the Evaluation of Alternative Toxicological Methods (NICEATM) has compiled and curated a database of in vivo eye irritation studies from the scientific literature and from stakeholder-provided data. The database contains 810 annotated records of 593 unique substances, including mixtures, categorized according to UN GHS and US EPA hazard classifications. This study reports a set of in silico models to predict EPA and GHS hazard classifications for chemicals and mixtures, accounting for purity by setting thresholds of 100% and 10% concentration. We used two approaches to predict classification of mixtures: conventional and mixture-based. Conventional models evaluated substances based on the chemical structure of its major component. These models achieved balanced accuracy in the range of 68-80% and 87-96% for the 100% and 10% test concentration thresholds, respectively. Mixture-based models, which accounted for all known components in the substance by weighted feature averaging, showed similar or slightly higher accuracy of 72-79% and 89-94% for the respective thresholds. We also noted a strong trend between the pH feature metric calculated for each substance and its activity. Across all the models, the calculated pH of inactive substances was within one log10 unit of neutral pH, on average, while for active substances, pH varied from neutral by at least 2 log10 units. This pH dependency is especially important for complex mixtures. Additional evaluation on an external test set of 673 substances obtained from ECHA dossiers achieved balanced accuracies of 64-71%, which suggests that these models can be useful in screening compounds for ocular irritation potential. Negative predictive value was particularly high and indicates the potential application of these models in a bottom-up approach to identify nonirritant substances.

Validation of the SkinEthic HCE Time-to-Toxicity test method for eye hazard classification of chemicals according to UN GHS

This study describes the within- and between-laboratory reproducibility (WLR and BLR) of a Time-to-Toxicity (TTT) approach for chemicals based on the SkinEthic™ HCE tissue construct, capable to distinguish chemicals that do not require classification for serious eye damage/eye irritation (No Cat.) from chemicals that require classification for eye irritation (Cat. 2), and serious eye damage (Cat. 1). The WLR and BLR was assessed with three participating laboratories. Each laboratory tested 40 coded chemicals in three independent runs. The predictive capacity of the method was assessed on a larger set of 150 chemicals (70 liquids and 80 solids) by combining the results of this study with the results of the test method developer.The WLR for the 20 liquids ranged from 85% to 95% with a BLR of 90%. For the 20 solids, a WLR and BLR of 100% was obtained. The test method developer obtained a WLR of 80% and 95%, based on 50 liquids and 48 solids tested in three independent runs, respectively. Regarding the predictive capacity, the SkinEthic™ HCE TTT test method identified 80.8% Cat. 1, 69.2% Cat. 2, and 74.9% No Cat. correctly. An independent peer review panel concluded that based on all available data, the relevance and reliability of the SkinEthic™ HCE TTT has been demonstrated for discriminating the three UN GHS eye hazard categories.

Ex vivo pulmonary assay applied for screening of toxicity potential of chemicals

Acute inhalation toxicity testing for chemical classification and labeling has been performed using animal models, however, these models have limited predictibility of the toxicity on the respiratory system. Thus, non-animal models have been emerging as alternatives for preclinical assessment of respiratory toxicity of chemicals, comprising in chemico, in vitro, ex vivo, and in silico approaches. In this study, we characterized and evaluated the applicability of a new ex vivo bovine bronchial model for addressing key aspects of pulmonary toxicity. Standardized bronchial fragments were cultured at an air-liquid interface for seven days showing cell viability, morphology, and function during the ex vivo time of cultivation. Different exposure ways, liquid or aerosol exposure, were also studied using paraformaldehyde (PFA) as a positive control. In a concentration-dependent manner, a decrease in tissue viability was observed for aerosols instead of direct liquid exposure upon tissue surface. Moreover, PFA exposure allowed the addressment of several damage biomarkers, including epithelium thickness, mitochondrial activity, ROS production, and caspase-3 activation. Besides, the bronquial tissue was exposed to chemicals from different UN GHS inhalation toxicity categories and presented a concentration-dependent response for most of the evaluated materials. The proposed airway ex vivo model represents a low-cost and reproducible tool applicable for pulmonary toxicity assessment of chemicals.

A Weight of Evidence approach to classify nanomaterials according to the EU Classification, Labelling and Packaging Regulation criteria

In the context of the European Union (EU) Horizon 2020 GRACIOUS project (Grouping, Read-Across, Characterisation and classification framework for regulatory risk assessment of manufactured nanomaterials and Safer design of nano-enabled products), we proposed a quantitative Weight of Evidence (WoE) approach for hazard classification of nanomaterials (NMs). This approach is based on the requirements of the European Regulation on Classification, Labelling and Packaging of Substances and Mixtures (the CLP regulation), which implements the United Nations' Globally Harmonized System of Classification and Labelling of Chemicals (UN GHS) in the European Union. The goal of this WoE methodology is to facilitate classification of NMs according to CLP criteria, following the decision trees defined in ECHA's CLP regulatory guidance. In the WoE, results from heterogeneous studies are weighted according to data quality and completeness criteria, integrated, and then evaluated by expert judgment to obtain a hazard classification, resulting in a coherent and justifiable methodology. Moreover, the probabilistic nature of the proposed approach enables highlighting the uncertainty in the analysis. The proposed methodology involves the following stages: (1) collection of data for different NMs related to the endpoint of interest: each study related to each NM is referred as a Line of Evidence (LoE); (2) computation of weighted scores for each LoE: each LoE is weighted by a score calculated based on data quality and completeness criteria defined in the GRACIOUS project; (3) comparison and integration of the weighed LoEs for each NM: A Monte Carlo resampling approach is adopted to quantitatively and probabilistically integrate the weighted evidence; and (4) assignment of each NM to a hazard class: according to the results, each NM is assigned to one of the classes defined by the CLP regulation. Furthermore, to facilitate the integration and the classification of the weighted LoEs, an online R tool was developed. Finally, the approach was tested against an endpoint relevant to CLP (Aquatic Toxicity) using data retrieved from the eNanoMapper database, results obtained were consistent to results in REACH registration dossiers and in recent literature.

Egr1 Gene Expression as a Potential Biomarker for In Vitro Prediction of Ocular Toxicity.

Animal models are used for preclinical toxicity studies, and the need for in vitro alternative methods has been strongly raised. Our study aims to elucidate the potential mechanism of change in EGR1 expression under situations of toxic injury and to develop an Egr1 promoter–luciferase gene reporter assay for an in vitro alternative method for toxicity prediction in drug discovery. We first found an increase in early growth response-1 (EGR1) mRNA/protein expressions in the liver and kidney of cisplatin-treated injured rats. Additionally, the EGR1 protein level was also elevated under situations of ocular injury after sodium lauryl sulfate (SLS) eye drops. These in vivo observations on injury-related EGR1 induction were confirmed by in vitro studies, where human corneal epithelial cells were treated with representative irritants (SLS and benzalkonium chloride) and 17 chemicals having different UN GHS irritant categories. Additionally, our results suggest the involvement of ERK, JNK, p38 MAPK pathways in EGR1 elevation in response to gamma-butyrolactone-induced injury. As EGR1 is considered to be a pivotal factor in proliferation and regeneration, siRNA-mediated knockdown of Egr1 promoted cytotoxic potential through a delay of injury-related recovery. More importantly, the elevation of promoter activities was observed by various irritants in cells transfected with Egr1 promoter-reporter vector. In conclusion, Egr1 can be a potential biomarker in a promoter-reporter system to improve the accuracy of in vitro predictions for ocular irritation.

Performance Statistics of Defined Approaches for Eye Hazard Identification of Non-Surfactant Liquids to Distinguish Between the Three United Nations Globally Harmonized System Categories

Introduction: Cosmetics Europe develops two defined approaches (DAs) for eye hazard identification, that is, addressing serious eye damage (Cat. 1), eye irritation (Cat. 2), and the absence thereof (No Cat.), for nonsurfactant liquid test substances. DAL-1 combines four physicochemical properties, the reconstructed human cornea-like epithelium (EpiOcular™ eye irritation test [EIT]: VRM1 and SkinEthic™ human corneal epithelium EIT: VRM2) test method (OECD test guideline [TG] 492), and bovine corneal opacity and permeability (BCOP) test method (OECD TG 437). DAL-2 combines the short time exposure test method (OECD TG 491) and the BCOP test method (OECD TG 437). In both DAs, the BCOP with the laser light-based opacitometer is used, however, only opacity is used to identify liquids that cause serious eye damage. Materials and Methods: The performance of the DAs to distinguish between the three United Nations Globally Harmonized System of Classification (UN GHS) categories was compared against the minimum performance values proposed by Cosmetics Europe to the Organisation for Economic Co-operation and Development expert Group on eye/skin irritation/corrosion and phototoxicity and agreed upon by the experts. Furthermore, the class-specific performance metrics are also provided for each DA. Results: The balanced accuracy of DAL-1 with validated reference method—EpiOcular EIT (VRM1), DAL-1 with validated reference method—SkinEthic HCE EIT (VRM2), and DAL-2 was 69.2%, 75.2%, and 74.3%, respectively. DAL-1 with VRM1 identified 76.5% of Cat. 1 (N = 17), 59.1% of Cat. 2 (N = 22), and 72.1% of No Cat. (N = 55) correctly. DAL-1 with VRM2 identified 76.5% of Cat. 1 (N = 17), 68.7% of Cat. 2 (N = 23), and 80.4% of No Cat. (N = 46) correctly. DAL-2 identified 81.2% of Cat. 1 (N = 17), 56.3% of Cat. 2 (N = 24), and 85.3% of No Cat. (N = 123) correctly. Conclusion: The percentage of correct predictions was greater than the proposed minimum performance values of 75% for Cat. 1, 50% for Cat. 2, and 70% for No Cat. Therefore, DAL-1 and DAL-2 have shown to successfully distinguish between the three UN GHS categories for eye hazard identification.

SkinEthic™ HCE Time-to-Toxicity: The first method formally considered by the OECD for discriminating on its own the three UN GHS ocular hazard categories

SkinEthic™ HCE Time-to-Toxicity: The first method formally considered by the OECD for discriminating on its own the three UN GHS ocular hazard categories

Performance statistics of defined approaches for eye hazard identification of liquids to distinguish between the three UN GHS categories

Performance statistics of defined approaches for eye hazard identification of liquids to distinguish between the three UN GHS categories

Defined approaches to differentiate between the three UN GHS categories for eye hazard identification -overall and class-specific performance metrics

Defined approaches to differentiate between the three UN GHS categories for eye hazard identification -overall and class-specific performance metrics

Application of the Validated In Vitro Reconstructed Human Skin and Eye Models For Hazard Identification of the Chemical Mixtures

The international and national directives and legislation requires to perfom validated in vitro alternative methods to animal testing of chemicals and mixtures for predictible and precise evoluation of toxicity in human. The regulatory agencies require the hazard assessment on skin and ocular as reported by the United Nations, Globally Harmonized System (UN GHS) of Classification and Labeling of Chemicals. To address this need and investigate the usage of alternative methods, the five representative chemical mixtures were prepared in different compositions and their toxicity was evaluated using in vitro validated EpiDerm™ SCT for skin corrosion, EpiDerm™ SIT for skin irritation, and EpiOcular™ OCL for eye irritation. The tested chemical mixtures 1 and 3 were found corrosive for skin and irritant for both skin and eye. They were identified in the category 1 according to UN GHS. The tested chemical mixtures 2, 4, and 5 were found to be neither corrosive nor irritant to the skin and eye. They were identified in the UN GHS No Category. The potential usage of in vitro Reconstructed Human Epidermis and Cornea-like Epithelial as a replacement to animal testing contributed significantly to classify the ocular and skin irritation/corrosion of liquid and solid chemical mixtures and to comply with the regulatory testing requirements. This study confirm that the use of alternative assays instead of conventional in vivo animal test methods could be very reliable and accurate tool to evaluate the skin and eye irritation/corrosion for hazard identification of chemical mixtures.

SkinEthic HCE Time-to-Toxicity on solids: A test method for distinguishing chemicals inducing serious eye damage, eye irritation and not requiring classification and labelling

This study describes the development of a Time-to-Toxicity approach for solids (TTS) based on the SkinEthic™ HCE tissue construct, capable to distinguish chemicals that do not require classification for serious eye damage/eye irritation (No Cat.) from chemicals that require classification for eye irritation (Cat. 2), and serious eye damage (Cat. 1).Briefly, the time-to-toxicity of 69 solids was evaluated by exposing SkinEthic™ HCE tissue constructs to the test chemical for two different time periods (30-min, and 120-min). Based on the viability observed for the different exposure periods, a classification was assigned. The within laboratory reproducibility in terms of concordance in classifications (3 UN GHS categories), based on a set of 48 solids, was 93.7%. Furthermore, 73.6% Cat. 1 (N = 24), 55.6% Cat. 2 (N = 15) and 72.2% No Cat. (N = 30) were correctly identified with the SkinEthic™ HCE TTS test method. This study provides evidence that the SkinEthic™ HCE Time-to-Toxicity method (multiple exposure times) can distinguish Cat. 2 solids from Cat. 1 solids. This is an added value compared to the SkinEthic™ HCE EITS method (single exposure time) that can distinguish No Cat. chemicals from chemicals that do require classification and labelling for eye irritation/serious eye damage (Cat. 2/Cat. 1).

Validation study of a new reconstructed human epidermis model EPiTRI for in vitro skin irritation test according to OECD guidelines

Following the global trend of reducing animal testing, various reconstructed human epidermis (RHE) models for skin irritation test (SIT) have been developed, verified, validated and included in OECD TG 439. We developed a new RHE called EPiTRI and a SIT method using EPiTRI (EPiTRI-SIT model) following the OECD guidelines. EPiTRI possesses morphological, biochemical and physiological properties similar to human epidermis with well-differentiated multilayered viable cells with barrier function. The EPiTRI-SIT model was tested for 20 reference chemicals in Performance Standard of OECD TG 439 (GD 220), showing good predictive capacity with 100% sensitivity, 70% specificity and 85% accuracy. EPiTRI had sensitivity in detecting di-n-propyl disulphate, as an irritant chemical (UN GHS Category 2), whereas most validated reference methods detected it as a non-irritant. An international validation study of EPiTRI-SIT was conducted in four laboratories to confirm the within- and between-laboratory reproducibility, as well as predictive capacity. The phase I/II within-laboratory and between-laboratory reproducibility was 100%/95% and 95%, respectively. The overall sensitivity, specificity and accuracy of EPiTRI-SIT was 96%, 70% and 83%, respectively, which fulfilled the OECD criteria. Thus, EPiTRI, meets the criteria of Performance Standards of OECD TG 439 (GD 220) and is suitable for screening irritating chemicals in vitro.