Mechanistic Skin Modeling of Plasma Concentrations of Sunscreen Active Ingredients Following Facial Application.

Sunscreen products constitute two distinct categories. Recreational sunscreens protect against high-intensity, episodic sun exposure, often applied over the entire body. In contrast, facial sunscreen products are designed for sub-erythemal, low-intensity daily sun exposure. Such different exposures necessitate distinctive product safety assessments. Building on earlier methods for predicting dermal disposition, a mechanistic model was developed to simulate plasma concentrations of seven organic sunscreen active ingredients: avobenzone, ensulizole, homosalate, octinoxate, octisalate, octocrylene, and oxybenzone, following facial application. In vitro permeation testing (IVPT) was performed with two different vehicles using a subset of the UV filters. These IVPT results, in addition to previously published IVPT data and published in vivo Maximal Usage Trial (MUsT) data for the UV filters, were used to train the mechanistic dermal model via a Bayesian Markov chain Monte Carlo (MCMC) method. An external validation of the trained model with real-world in vivo datasets demonstrated that the model's predicted UV filter plasma concentrations align well with experimental measurements and capture the observed inter-individual variability. Predictions of steady-state UV filter plasma concentrations under facial application scenarios at 5% concentration and at the maximal allowable concentrations were then generated by the trained model. Oxybenzone had the greatest predicted plasma concentration following facial application. Homosalate and octisalate predictions had high uncertainty associated with the absence of data. Several application scenarios pertaining to avobenzone, ensulizole, octocrylene and octinoxate were identified in which median plasma concentration levels were at 0.5 ng/ml or below when applied in the recreational or facial product. Model limitations include uncertainty in vehicle/water partitioning, formulation metamorphosis, and UV filter systemic clearance, all of which can be refined with additional data. For UV filters, limiting exposure to facial application reduces human safety concerns based on FDA established thresholds.

A chemical structure-based approach for estimating the added levels of flavourings to foods for the purpose of assessing consumer intake.

Intake assessment and hazard profile of chemical substances are the two critical inputs in a safety assessment. Human intake assessment presents challenges that stem either from the absence of data or from numerous sources of variability and uncertainty, which have led regulators to adopt conservative approaches that inevitably overestimate intake. Refinements of intake assessments produce more realistic estimates and help prioritise areas of concern and better direct investment of resources. However, use levels (ULs), which represent the usual added amount of flavourings to food products, are the starting point for refined intake assessments, are data-intensive, and data availability is often a limitation. The work presented here was undertaken to investigate the use level patterns of substances used as flavourings in foods and to develop a systematic tool for data extrapolation based on chemical structure. The available dataset consists of use levels reported through eight industry surveys and hence are representative of industry uses rather than regulatory limits, which are higher by design and not realistic. A systematic statistical analysis was undertaken to determine whether the industry-reported UL data can be used to estimate use levels of flavouring substances belonging to the same chemical group for which such data are not available. Predictive modelling approaches were explored to evaluate relationships in the data and utilised additional variables relevant to technological considerations, such as volatility losses upon heat treatment, and Tanimoto index-based pair-wise structural similarity scores to determine whether more granular similarity information can reduce the within-group variability. The analyses indicated that the use levels of flavouring substances can reasonably be estimated based on the available data using chemical group classifications stratified by food category. Source of uncertainty and limitations are discussed.

State of the science on alternatives to animal testing and integration of testing strategies for food safety assessments: Workshop proceedings.

Rapidly evolving technological methods and mechanistic toxicological understanding have paved the way for new science-based approaches for the determination of chemical safety in support of advancing public health. Approaches including read-across, high-throughput screening, in silico models, and organ-on-a-chip technologies were addressed in a 2017 workshop focusing on how scientists can move effectively toward a vision for 21st century food safety assessments. The application of these alternative methods, the need for further development of standardized practices, and the interpretation and communication of results were addressed. Expert presentations encompassed regulatory, industry, and academic perspectives, and the workshop culminated in a panel discussion in which participants engaged experts about current issues pertaining to the application of alternative methods in toxicological testing for food safety assessments.

Insights and perspectives on emerging inputs to weight of evidence determinations for food safety: workshop proceedings.

This workshop aimed to elucidate the contribution of computational and emerging in vitro methods to the weight of evidence used by risk assessors in food safety assessments. The following issues were discussed: using in silico and high-throughput screening (HTS) data to confirm the safety of approved food ingredients, applying in silico and HTS data in the process of assessing the safety of a new food ingredient, and utilizing in silico and HTS data in communicating the safety of food ingredients while enhancing the public's trust in the food supply. Perspectives on integrating computational modeling and HTS assays as well as recommendations for optimizing predictive methods for risk assessment were also provided. Given the need to act quickly or proceed cautiously as new data emerge, this workshop also focused on effectively identifying a path forward in communicating in silico and in vitro data.

Determining the applicability of threshold of toxicological concern approaches to substances found in foods.

Threshold of Toxicological Concern (TTC) decision-support methods present a pragmatic approach to using data from well-characterized chemicals and protective estimates of exposure in a stepwise fashion to inform decisions regarding low-level exposures to chemicals for which few data exist. It is based on structural and functional categorizations of chemicals derived from decades of animal testing with a wide variety of chemicals. Expertise is required to use the TTC methods, and there are situations in which its use is clearly inappropriate or not currently supported. To facilitate proper use of the TTC, this paper describes issues to be considered by risk managers when faced with the situation of an unexpected substance in food. Case studies are provided to illustrate the implementation of these considerations, demonstrating the steps taken in deciding whether it would be appropriate to apply the TTC approach in each case. By appropriately applying the methods, employing the appropriate scientific expertise, and combining use with the conservative assumptions embedded within the derivation of the thresholds, the TTC can realize its potential to protect public health and to contribute to efficient use of resources in food safety risk management.

NMR investigation of enzymatic coupling of sulfonamide antimicrobials with humic substances.

Phenoloxidases mediate the oxidative transformation of soil phenolic constituents, contributing to the formation of humic substances and the chemical incorporation of some xenobiotic organic compounds into natural organic matter. We previously demonstrated phenoloxidase-mediated covalent coupling of sulfonamide antimicrobials with model humic constituents. Here, we investigate fungal peroxidase-mediated covalent coupling of 13C-sulfamethazine and 15N-sulfapyridine to humic substances. 1H-13C heteronuclear single quantum correlation (HSQC) nuclear magnetic resonance spectroscopy provided an initial indication of peroxidase-mediated covalent binding of 13C-sulfamethazine to humic acid. To confirm the role of the sulfonamide anilinic nitrogen in coupling to humic acid and to determine the nature of the covalent linkage, we incubated 15N-sulfapyridine with humic acid and peroxidase and examined reaction products in 1H-15N heteronuclear multiple bond (HMBC) experiments. The HMBC spectra revealed the presence of Michael adducts (i.e., anilinohydroquinones, anilinoquinones) and possibly other covalent linkages. No evidence for Schiff base formation was observed. Analogous experiments with the model humic constituent catechol provided corroborating evidence for these assignments. Michael adducts are expected to exhibit greater environmental stability than imine linkages that can form between sulfonamides and 2,6-dimethoxyphenols. Because the free anilinic nitrogen is required for the bioactivity of sulfonamide antimicrobials, nucleophilic addition occurring through this moiety could result in the biochemical inactivation of these compounds.

Laccase-mediated michael addition of 15N-sulfapyridine to a model humic constituent.

Chemical incorporation of sulfonamide antimicrobials into natural organic matter may represent an important process influencing the fate of these synthetic, primarily agents in soil and sediment environments. We previously demonstrated that a fungal peroxidase mediates covalent coupling of sulfonamide antimicrobials to model humic constituents; reactions with the 2,6-dimethoxyphenol syringic acid produced Schiff bases (Bialk et al. Environ. Sci. TechnoL 2005, 39, 4436-4473). Here, we show that fungal laccase-mediated reaction of sulfapyridine with the orthodihydroxyphenol protocatechuic acid yields a Michael adduct. We synthesized 15N-enriched sulfapyridine to facilitate determination of the covalent linkage(s) formed between sulfapyridine and protocatechuic acid by NMR spectroscopy. 1H-(15)N heteronuclear multiple bond correlation experiments and tandem mass spectrometry demonstrated that the sulfapyridine anilinic nitrogen engaged in a Michael addition reaction to oxidized protocatechuic acid to form an anilinoquinone. Michael adducts are more stable than the previously reported imine linkages between sulfonamides and 2,6-dimethoxyphenols. Michael addition to quinone-like structures in soil organic matter is expected to diminish the mobility and biological activity of sulfonamide antimicrobials.

Cross-coupling of sulfonamide antimicrobial agents with model humic constituents.

The oxidative cross-coupling of sulfonamide antimicrobials to constituents of natural organic matter was investigated. Sulfonamide antimicrobials were incubated with surrogate humic constituents in the absence and presence of phenoloxidases (viz., peroxidase, laccase, and tyrosinase) or acid birnessite. Substituted phenols were chosen as simple model constituents to determine the structures in humic substances important for cross-coupling reactions. The extent of sulfonamide transformation was evaluated by the disappearance of the parent compound from solution. Incubation with phenoloxidases in the absence of substituted phenols resulted in little or no sulfonamide transformation. In contrast to this, direct oxidation of sulfonamides by acid birnessite was significant. Inclusion of o-diphenols and 2,6-dimethoxyphenols in reaction mixtures resulted in significant phenoloxidase-mediated transformation of sulfonamides and enhanced antimicrobial transformation in the presence of acid birnessite. Phenolic compounds with other substitution patterns were less effective in promoting sulfonamide transformation. Nuclear magnetic resonance spectroscopy experiments provided direct evidence of peroxidase-mediated covalent cross-coupling of sulfamethazine with syringic and protocatechuic acids. Our results indicate that sulfonamide antimicrobials may be chemically incorporated into humic substances. This may result in their diminished mobility, bioavailability, and biological activity.