A framework to mitigate the risk of chemical leukoderma: Consumer products.

Chemical leukoderma is an acquired depigmentation of the skin caused by repeated exposure to specific agents damaging to epidermal melanocytes. Case reports of chemical leukoderma have been associated with some consumer products. To date, there are no well-accepted approaches for evaluating and minimizing this risk. To this end, a framework is presented that evaluates the physical and chemical characteristics of compounds associated with chemical leukoderma and employs structure-activity relationship (SAR) read-across and predictive metabolism tools to determine whether a compound is at increased risk of evoking chemical leukoderma. In addition to in silico approaches, the testing strategy includes in chemico quinone formation and in vitro melanocyte cytotoxicity assays to dimension the risk as part of an overall weight of evidence approach to risk assessment. Cosmetic ingredients raspberry ketone, undecylenoyl phenylalanine, tocopheryl succinate, p-coumaric acid, resveratrol, resveratrol dimethyl ether, sucrose dilaurate, tranexamic acid, niacinamide and caffeic acid are evaluated in this framework and compared to positive controls rhododendrol and hydroquinone. Overall, this framework is considered an important step toward mitigating the risk of chemical leukoderma for compounds used in consumer products.

The vitamin A ester retinyl propionate has a unique metabolic profile and higher retinoid-related bioactivity over retinol and retinyl palmitate in human skin models.

Human skin is exposed daily to environmental stressors, which cause acute damage and inflammation. Over time, this leads to morphological and visual appearance changes associated with premature ageing. Topical vitamin A derivatives such as retinol (ROL), retinyl palmitate (RPalm) and retinyl propionate (RP) have been used to reverse these changes and improve the appearance of skin. This study investigated a stoichiometric comparison of these retinoids using in vitro and ex vivo skin models. Skin biopsies were treated topically to compare skin penetration and metabolism. Treated keratinocytes were evaluated for transcriptomics profiling and hyaluronic acid (HA) synthesis and treated 3D epidermal skin equivalents were stained for epidermal thickness, Ki67 and filaggrin. A retinoic acid receptor-alpha (RARα) reporter cell line was used to compare retinoid activation levels. Results from ex vivo skin found that RP and ROL have higher penetration levels compared with RPalm. RP is metabolized primarily into ROL in the viable epidermis and dermis whereas ROL is esterified into RPalm and metabolized into the inactive retinoid 14-hydroxy-4,14-retro-retinol (14-HRR). RP treatment yielded higher RARα activation and HA synthesis levels than ROL whereas RPalm had a null effect. In keratinocytes, RP and ROL stimulated similar gene expression patterns and pathway theme profiles. In conclusion, RP and ROL show a similar response directionality whereas RPalm response was inconsistent. Additionally, RP has a consistently higher magnitude of response compared with ROL or RPalm.

Use of read-across and computer-based predictive analysis for the safety assessment of PEG cocamines.

In the European Union animal testing has been eliminated for cosmetic ingredients while the US Cosmetic Ingredient Review Expert Panel may request data from animal studies. The use of read-across and predictive toxicology provides a path for filling data gaps without additional animal testing. The PEG cocamines are tertiary amines with an alkyl group derived from coconut fatty acids and two PEG chains of varying length. Toxicology data gaps for the PEG cocamines can be addressed by read-across based on structure-activity relationship using the framework described by Wu et al. (2010) for identifying suitable structural analogs. Data for structural analogs supports the conclusion that the PEG cocamines are non-genotoxic and not expected to exhibit systemic or developmental/reproductive toxicity with use in cosmetics. Due to lack of reliable dermal sensitization data for suitable analogs, this endpoint was addressed using predictive software (TIMES SS) as a first step (Laboratory of Mathematical Chemistry). The prediction for PEG cocamines was the same as that for PEGs, which have been concluded to not present a significant concern for dermal sensitization. This evaluation for PEG cocamines demonstrates the utility of read-across and predictive toxicology tools to assess the safety of cosmetic ingredients.

Can acute dermal systemic toxicity tests be replaced with oral tests? A comparison of route-specific systemic toxicity and hazard classifications under the Globally Harmonized System of Classification and Labelling of Chemicals (GHS).

Acute systemic toxicity data (LD50 values) and hazard classifications derived in the rat following oral administration and dermal application have been analysed to examine whether or not orally-derived hazard classification or LD50 values can be used to determine dermal hazard classification. Comparing the oral and dermal classifications for 335 substances derived from oral and dermal LD50 values respectively revealed 17% concordance, and indicated that 7% of substances would be classified less severely while 76% would be classified more severely if oral classifications were applied directly to the dermal route. In contrast, applying the oral LD50 values within the dermal classification criteria to determine the dermal classification reduced the concordance to 15% and the relative 'under-classification' to 1%, but increased the relative 'over-classification' to 84%. Both under- and over-classification are undesirable, and mitigation strategies are discussed. Finally, no substance with an oral LD50 of >2000mg/kg was classified for acute systemic toxicity by the dermal route, suggesting that dermal testing for acute systemic toxicity of such substances adds nothing to the hazard characterisation and should be removed from routine regulatory data requirements.

Case studies to test: A framework for using structural, reactivity, metabolic and physicochemical similarity to evaluate the suitability of analogs for SAR-based toxicological assessments.

A process for evaluating analogs for use in SAR (Structure-Activity Relationship) assessments was previously published (Wu et al. 2010). Subsequently, this process has been updated to include a decision tree for estrogen binding (from US EPA) and flags for developmental and reproductive toxicity (DART). This paper presents the results of blinded case studies designed to test this updated framework. The results of these case studies support the conclusion that the process outlined by Wu et al. (2010) can be successfully applied to develop surrogate values for risk assessment. The read across results generated by the process were shown to be protective when compared to the actual toxicity data. Successful application of the approach requires significant expertise as well as discipline to not overstep the boundaries of the defined analogs and the rating system. The end result of this rigor can be the inability to read across all endpoints for all chemicals resulting in data gaps that cannot be filled using read across, however, this reflects the current state of the science and is preferable to making non-protective decisions. Future work will be targeted towards expanding read across capabilities. Two examples of a broader category approach are also shown.

Quantitative risk assessment for the induction of allergic contact dermatitis: uncertainty factors for mucosal exposures.

The quantitative risk assessment (QRA) paradigm has been extended to evaluating the risk of induction of allergic contact dermatitis from consumer products. Sensitization QRA compares product-related, topical exposures to a safe benchmark, the sensitization reference dose. The latter is based on an experimentally or clinically determined 'no observable adverse effect level' (NOAEL) and further refined by incorporating 'sensitization uncertainty factors' (SUFs) that address variables not adequately reflected in the data from which the threshold NOAEL was derived. A critical area of uncertainty for the risk assessment of oral care or feminine hygiene products is the extrapolation from skin to mucosal exposures. Most sensitization data are derived from skin contact, but the permeability of vulvovaginal and oral mucosae is greater than that of keratinized skin. Consequently, the QRA for some personal products that are exposed to mucosal tissue may require the use of more conservative SUFs. This article reviews the scientific basis for SUFs applied to topical exposure to vulvovaginal and oral mucosae. We propose a 20-fold range in the default uncertainty factor used in the contact sensitization QRA when extrapolating from data derived from the skin to situations involving exposure to non-keratinized mucosal tissue.