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Guan D, Lui R, Mattthews ST. Low-cost quantum mechanical descriptors for data efficient skin sensitization QSAR models. Curr Res Toxicol 2024; 7:100183. [PMID: 39021404 PMCID: PMC11253267 DOI: 10.1016/j.crtox.2024.100183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 06/15/2024] [Accepted: 06/17/2024] [Indexed: 07/20/2024] Open
Abstract
Quantitative Structure Activity Relationship modelling methodologies need to incorporate relevant mechanistic information to have high predictive performance and validity. Electrophilic reactivity is a common mechanistic feature of skin sensitization endpoints which could be concisely characterized with electronic descriptors which is key to enabling the modelling of small datasets in this domain. However, quantum mechanical methodologies have previously featured high computational costs which would exclude the use of large datasets. Consequently, we investigate the use of electronic descriptors calculated using the Hartree Fock with 3 corrections (Hf-3c) method, a low-cost ab initio methodology that has higher chemical accuracy than previous semiempirical methodologies for modelling in vitro skin sensitization assay outcomes. We also model the Ames assay as a surrogate for determining skin sensitization outcomes. The quantum chemical descriptors calculated using the Hf-3c method with conductor-like polarizable continuum model (CPCM) implicit solvation found improved QSAR model performance for the in vitro Ames (n = 6049, 0.770 AUC), KeratinoSens (n = 164, 0.763 AUC), and Direct Peptide Reactivity Assay (n = 122, 0.750 AUC) datasets, with their combination producing high predictive performance for unseen in vivo Local Lymph Node Assay (n = 86, 0.789 AUC) and Human Repeated Insult Patch Test (n = 86, 0.791 AUC) assay toxicant outcomes.
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Affiliation(s)
- Davy Guan
- Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia
| | - Raymond Lui
- Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia
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Fiume MM, Heldreth BA, Bergfeld WF, Belsito DV, Hill RA, Klaassen CD, Liebler DC, Marks JG, Shank RC, Slaga TJ, Snyder PW, Andersen FA. Safety Assessment of Citric Acid, Inorganic Citrate Salts, and Alkyl Citrate Esters as Used in Cosmetics. Int J Toxicol 2014; 33:16S-46S. [PMID: 24861367 DOI: 10.1177/1091581814526891] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The CIR Expert Panel (Panel) assessed the safety of citric acid, 12 inorganic citrate salts, and 20 alkyl citrate esters as used in cosmetics, concluding that these ingredients are safe in the present practices of use and concentration. Citric acid is reported to function as a pH adjuster, chelating agent, or fragrance ingredient. Some of the salts are also reported to function as chelating agents, and a number of the citrates are reported to function as skin-conditioning agents but other functions are also reported. The Panel reviewed available animal and clinical data, but because citric acid, calcium citrate, ferric citrate, manganese citrate, potassium citrate, sodium citrate, diammonium citrate, isopropyl citrate, stearyl citrate, and triethyl citrate are generally recognized as safe direct food additives, dermal exposure was the focus for these ingredients in this cosmetic ingredient safety assessment.
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Affiliation(s)
- Monice M Fiume
- Cosmetic Ingredient Review Senior Scientific Analyst/Writer, Washington, DC, USA
| | | | - Wilma F Bergfeld
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | - Donald V Belsito
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | - Ronald A Hill
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | | | - Daniel C Liebler
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | - James G Marks
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | - Ronald C Shank
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | - Thomas J Slaga
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | - Paul W Snyder
- Cosmetic Ingredient Review Expert Panel Member, Washington, DC, USA
| | - F Alan Andersen
- Former Director, Cosmetic Ingredient Review, Washington, DC, USA
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Patlewicz G, Mekenyan O, Dimitrova G, Kuseva C, Todorov M, Kotov S, Stoeva S, Donner EM. Can mutagenicity information be useful in an Integrated Testing Strategy (ITS) for skin sensitization? SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2010; 21:619-656. [PMID: 21120753 DOI: 10.1080/1062936x.2010.528447] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Our previous work has investigated the utility of mutagenicity data in the development and application of Integrated Testing Strategies (ITS) for skin sensitization by focusing on the chemical mechanisms at play and substantiating these with experimental data where available. The hybrid expert system TIMES (Tissue Metabolism Simulator) was applied in the identification of the chemical mechanisms since it encodes a comprehensive set of established structure-activity relationships for both skin sensitization and mutagenicity. Based on the evaluation, the experimental determination of mutagenicity was thought to be potentially helpful in the evaluation of skin sensitization potential. This study has evaluated the dataset reported by Wolfreys and Basketter (Cutan. Ocul. Toxicol. 23 (2004), pp. 197-205). Upon an update of the experimental data, the original reported concordance of 68% was found to increase to 88%. There were several compounds that were 'outliers' in the two experimental evaluations which are discussed from a mechanistic basis. The discrepancies were found to be mainly associated with the differences between skin and liver metabolism. Mutagenicity information can play a significant role in evaluating sensitization potential as part of an ITS though careful attention needs to be made to ensure that any information is interpreted in the appropriate context.
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Affiliation(s)
- G Patlewicz
- DuPont Haskell Global Centers for Health and Environmental Sciences, Newark, Delaware, USA.
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Mekenyan O, Patlewicz G, Dimitrova G, Kuseva C, Todorov M, Stoeva S, Kotov S, Donner EM. Use of Genotoxicity Information in the Development of Integrated Testing Strategies (ITS) for Skin Sensitization. Chem Res Toxicol 2010; 23:1519-40. [DOI: 10.1021/tx100161j] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Ovanes Mekenyan
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
| | - Grace Patlewicz
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
| | - Gergana Dimitrova
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
| | - Chanita Kuseva
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
| | - Milen Todorov
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
| | - Stoyanka Stoeva
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
| | - Stefan Kotov
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
| | - E Maria Donner
- Laboratory of Mathematical Chemistry, “Prof. As. Zlatarov” University, Bourgas, Bulgaria, and DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, Delaware 19711
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Iyer S, Kievsky Y, Sokolov I. Fluorescent silica colloids for study and visualization of skin care products. Skin Res Technol 2007; 13:317-22. [PMID: 17610654 DOI: 10.1111/j.1600-0846.2007.00231.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND The efficacy of skin care products depends on the time and dynamics of their absorbance by the skin, and its spatial distribution on the skin. Regular scrape-based methods may depend on the operator and are destructive and invasive in nature. Here, we describe a novel method based on non-contact optical measurements to trace the location and dynamics of skin care products on the skin. METHODS We use fluorescent silica colloidal particles of micron sizes at a rather small concentration as non-invasive tracers. As an example of skin care products, we use two base materials: either glycerin or vaseline. A mixture of each product with fluorescent particles is applied on human skin. The amount of fluorescence is monitored by means of a fluorescent spectrometer. The scraping method is used to compare with the spectroscopic measurements. RESULTS Fluorescent tracers make the skin care product visible under UV light. This allows obtaining an optical image of the spatial distribution of the product on the skin. The quantitative data of fluorescence are well correlated with the scrape data. Comparison of the difference in the spectral and scraped mass data reveals the details of accumulation of the skin products in skin cracks and crevices. CONCLUSION We described an efficient non-invasive benign method to quantify dynamics and to perform mapping of emollients and humectants on the skin.
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Affiliation(s)
- Swaminathan Iyer
- Department of Physics, Clarkson University, Potsdam, NY 13699-5820, USA
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