Challenges in working towards an internal threshold of toxicological concern (iTTC) for use in the safety assessment of cosmetics: Discussions from the Cosmetics Europe iTTC Working Group workshop

Abstract The Threshold of Toxicological Concern (TTC) is an important risk assessment tool which establishes acceptable low‐level exposure values to be applied to chemicals with limited toxicological data. One of the logical next steps in the continued evolution of TTC is to develop this concept further so that it is representative of internal exposures (TTC based on plasma concentration). An internal TTC (iTTC) would provide threshold values that could be utilized in exposure‐based safety assessments. As part of a Cosmetics Europe (CosEu) research program, CosEu has initiated a project that is working towards the development of iTTCs that can be used for the human safety assessment. Knowing that the development of an iTTC is an ambitious and broad‐spanning topic, CosEu organized a Working Group comprised a balance of multiple stakeholders (cosmetics and chemical industries, the EPA and JRC and academia) with relevant experience and expertise and workshop to critically evaluate the requirements to establish an iTTC. Outcomes from the workshop included an evaluation on the current state of the science for iTTC, the overall iTTC strategy, selection of chemical databases, capture and curation of chemical information, ADME and repeat dose data, expected challenges, as well as next steps and ongoing work.

[1]  D J Rance,et al.  The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data. , 1997, The Journal of pharmacology and experimental therapeutics.

[2]  Ian A. Watson,et al.  Rules for identifying potentially reactive or promiscuous compounds. , 2012, Journal of medicinal chemistry.

[3]  Mark Cronin,et al.  Integrated In Silico Models for the Prediction of Human Repeated Dose Toxicity of Cosmetics to Optimise Safety , 2011 .

[4]  Melvin E. Andersen,et al.  Incorporating High-Throughput Exposure Predictions With Dosimetry-Adjusted In Vitro Bioactivity to Inform Chemical Toxicity Testing , 2015, Toxicological sciences : an official journal of the Society of Toxicology.

[5]  Harvey J Clewell,et al.  Relative impact of incorporating pharmacokinetics on predicting in vivo hazard and mode of action from high-throughput in vitro toxicity assays. , 2013, Toxicological sciences : an official journal of the Society of Toxicology.

[6]  Leslie Z Benet,et al.  Classification of natural products as sources of drugs according to the biopharmaceutics drug disposition classification system (BDDCS). , 2016, Chinese journal of natural medicines.

[7]  Li Di,et al.  Passive lipoidal diffusion and carrier-mediated cell uptake are both important mechanisms of membrane permeation in drug disposition. , 2014, Molecular pharmaceutics.

[8]  N Parrott,et al.  Physiologically based pharmacokinetic modeling in drug discovery and development: A pharmaceutical industry perspective , 2015, Clinical pharmacology and therapeutics.

[9]  A G Renwick,et al.  Structure-based thresholds of toxicological concern--guidance for application to substances present at low levels in the diet. , 2005, Toxicology and applied pharmacology.

[10]  Yuri Dancik,et al.  Estimation of in vivo dose of dermally applied chemicals leading to estrogen/androgen receptor-mediated toxicity from in vitro data--Illustration with four reproductive toxicants. , 2015, Reproductive toxicology.

[11]  M. Büchi,et al.  Testosterone metabolism of equine single CYPs of the 3A subfamily compared to the human CYP3A4. , 2017, Toxicology in vitro : an international journal published in association with BIBRA.

[12]  Hugh A Barton,et al.  Framework for Evaluation of Physiologically‐Based Pharmacokinetic Models for Use in Safety or Risk Assessment , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[13]  G R Wilkinson,et al.  Commentary: a physiological approach to hepatic drug clearance. , 1975, Clinical pharmacology and therapeutics.

[14]  Yuri Dancik,et al.  Design and performance of a spreadsheet-based model for estimating bioavailability of chemicals from dermal exposure. , 2013, Advanced drug delivery reviews.

[15]  Fonda Cody An Intuitive Approach , 2014 .

[16]  William DeMaio,et al.  Metabolism of Prazosin in Rat, Dog, and Human Liver Microsomes and Cryopreserved Rat and Human Hepatocytes and Characterization of Metabolites by Liquid Chromatography/Tandem Mass Spectrometry , 2007, Drug Metabolism and Disposition.

[17]  Bertrand Desprez,et al.  A strategy for systemic toxicity assessment based on non-animal approaches: The Cosmetics Europe Long Range Science Strategy programme. , 2018, Toxicology in vitro : an international journal published in association with BIBRA.

[18]  R. A. Thompson,et al.  Reactive Metabolites: Current and Emerging Risk and Hazard Assessments. , 2016, Chemical research in toxicology.

[19]  Bas J Blaauboer,et al.  Evaluation of simple in vitro to in vivo extrapolation approaches for environmental compounds. , 2014, Toxicology in vitro : an international journal published in association with BIBRA.

[20]  Leslie Z. Benet,et al.  The Role of Transporters in the Pharmacokinetics of Orally Administered Drugs , 2009, Pharmaceutical Research.

[21]  Tudor I. Oprea,et al.  BDDCS, the Rule of 5 and drugability. , 2016, Advanced drug delivery reviews.

[22]  Daniel T. Chang,et al.  Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction , 2016, PLoS Comput. Biol..

[23]  K. Brouwer,et al.  Automated Applications of Sandwich-Cultured Hepatocytes in the Evaluation of Hepatic Drug Transport , 2011, Journal of biomolecular screening.

[24]  A M Richard,et al.  An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling$ , 2016, SAR and QSAR in environmental research.

[25]  Harvey J Clewell,et al.  Physiologically based pharmacokinetic model use in risk assessment--Why being published is not enough. , 2012, Toxicological sciences : an official journal of the Society of Toxicology.

[26]  Robert J Kavlock,et al.  Integration of dosimetry, exposure, and high-throughput screening data in chemical toxicity assessment. , 2012, Toxicological sciences : an official journal of the Society of Toxicology.

[27]  Thomas Hartung,et al.  Thresholds of Toxicological Concern - Setting a threshold for testing below which there is little concern. , 2017, ALTEX.

[28]  Richard S Paules,et al.  From the Cover: Three-Dimensional (3D) HepaRG Spheroid Model With Physiologically Relevant Xenobiotic Metabolism Competence and Hepatocyte Functionality for Liver Toxicity Screening , 2017, Toxicological sciences : an official journal of the Society of Toxicology.

[29]  S E Escher,et al.  Improvement of the Cramer classification for oral exposure using the database TTC RepDose--a strategy description. , 2011, Regulatory toxicology and pharmacology : RTP.

[30]  Aleksandra Galetin,et al.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation , 2016, The AAPS Journal.

[31]  R A Ford,et al.  Estimation of toxic hazard--a decision tree approach. , 1978, Food and cosmetics toxicology.

[32]  Antony J. Williams,et al.  OPERA models for predicting physicochemical properties and environmental fate endpoints , 2018, Journal of Cheminformatics.

[33]  J B Houston,et al.  Utility of in vitro drug metabolism data in predicting in vivo metabolic clearance. , 1994, Biochemical pharmacology.

[34]  Grant R. Wilkinson,et al.  A physiological approach to hepatic drug clearance , 1975 .

[35]  Ursula Gundert-Remy,et al.  Internal threshold of toxicological concern values: enabling route-to-route extrapolation , 2014, Archives of Toxicology.

[36]  S. Steyn,et al.  Predicting Clearance Mechanism in Drug Discovery: Extended Clearance Classification System (ECCS) , 2015, Pharmaceutical Research.

[37]  Sebastian Polak,et al.  Prediction of concentration-time profile and its inter-individual variability following the dermal drug absorption. , 2012, Journal of pharmaceutical sciences.

[38]  R. V. van Breemen,et al.  Detection of reactive metabolites using isotope-labeled glutathione trapping and simultaneous neutral loss and precursor ion scanning with ultra-high-pressure liquid chromatography triple quadruple mass spectrometry. , 2015, Analytical chemistry.

[39]  Qasim Chaudhry,et al.  ON Use of the Threshold of Toxicological Concern ( TTC ) Approach for Human Safety Assessment of Chemical Substances with focus on Cosmetics and Consumer Products , 2012 .

[40]  Alicia Paini,et al.  In vitro to in vivo extrapolation for high throughput prioritization and decision making. , 2018, Toxicology in vitro : an international journal published in association with BIBRA.

[41]  J P Frawley,et al.  Scientific evidence and common sense as a basis for food-packaging regulations. , 1967, Food and cosmetics toxicology.

[42]  Andrew Worth,et al.  Title : The margin of internal exposure ( MOIE ) concept for dermal risk assessment based on oral toxicity data – a case study with caffeine Authors : , 2017 .

[43]  Corie A Ellison,et al.  Structural and functional pharmacokinetic analogs for physiologically based pharmacokinetic (PBPK) model evaluation , 2018, Regulatory toxicology and pharmacology : RTP.

[44]  Richard S Paules,et al.  Three-Dimensional (3D) HepaRG Spheroid Model With Physiologically Relevant Xenobiotic Metabolism Competence and Hepatocyte Functionality for Liver Toxicity Screening. , 2017, Toxicological sciences : an official journal of the Society of Toxicology.

[45]  Tao Chen,et al.  In Silico Modelling of Transdermal and Systemic Kinetics of Topically Applied Solutes: Model Development and Initial Validation for Transdermal Nicotine , 2016, Pharmaceutical Research.

[46]  Imran Shah,et al.  Toxicokinetic Triage for Environmental Chemicals. , 2015, Toxicological sciences : an official journal of the Society of Toxicology.

[47]  Jeffrey Fisher,et al.  Development of a physiologically-based pharmacokinetic model of 2-phenoxyethanol and its metabolite phenoxyacetic acid in rats and humans to address toxicokinetic uncertainty in risk assessment. , 2015, Regulatory toxicology and pharmacology : RTP.

[48]  R. Kroes Structure-Based Thresholds of Toxicological Concern (TTC): Guidance for Application to Substances Present at Low Levels in the Diet , 2004, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[49]  R A Ford,et al.  Correlation of structural class with no-observed-effect levels: a proposal for establishing a threshold of concern. , 1996, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[50]  Jui-Hua Hsieh,et al.  An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library. , 2017, Environmental science & technology.

[51]  Xiaomei Zhuang,et al.  PBPK modeling and simulation in drug research and development , 2016, Acta pharmaceutica Sinica. B.

[52]  Lujia Han,et al.  In Silico Prediction of Percutaneous Absorption and Disposition Kinetics of Chemicals , 2014, Pharmaceutical Research.

[53]  George Loizou,et al.  Toxicokinetics as a key to the integrated toxicity risk assessment based primarily on non-animal approaches. , 2013, Toxicology in vitro : an international journal published in association with BIBRA.

[54]  Kosmas Kretsos,et al.  Partitioning, diffusivity and clearance of skin permeants in mammalian dermis. , 2008, International journal of pharmaceutics.

[55]  H. Zimmerman,et al.  Hepatotoxicity: The adverse effects of drugs and other chemicals on the liver , 1978 .

[56]  R Kroes,et al.  Application of the threshold of toxicological concern (TTC) to the safety evaluation of cosmetic ingredients. , 2007, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[57]  Worth Andrew,et al.  Analysis of the Cramer classification scheme for oral systemic toxicity - implications for its implementation in Toxtree , 2011 .

[58]  A. Stepan,et al.  Structural alert/reactive metabolite concept as applied in medicinal chemistry to mitigate the risk of idiosyncratic drug toxicity: a perspective based on the critical examination of trends in the top 200 drugs marketed in the United States. , 2011, Chemical research in toxicology.

[59]  Andrew Worth,et al.  Thresholds of Toxicological Concern for cosmetics-related substances: New database, thresholds, and enrichment of chemical space. , 2017, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[60]  Leslie Z Benet,et al.  The role of BCS (biopharmaceutics classification system) and BDDCS (biopharmaceutics drug disposition classification system) in drug development. , 2013, Journal of pharmaceutical sciences.

[61]  Stefan Kramer,et al.  CheS-Mapper - Chemical Space Mapping and Visualization in 3D , 2012, Journal of Cheminformatics.