Zhengxi Wei, Tuan Xu, Judy Strickland, Li Zhang, Yuhong Fang, Dingyin Tao, Anton Simeonov, Ruili Huang, Nicole C Kleinstreuer, Menghang Xia
{"title":"使用体外方法结合硅学分析,识别 Tox21 10K 化合物库中潜在的皮肤致敏物质。","authors":"Zhengxi Wei, Tuan Xu, Judy Strickland, Li Zhang, Yuhong Fang, Dingyin Tao, Anton Simeonov, Ruili Huang, Nicole C Kleinstreuer, Menghang Xia","doi":"10.3389/ftox.2024.1321857","DOIUrl":null,"url":null,"abstract":"<p><p><b>Introduction:</b> Skin sensitization, which leads to allergic contact dermatitis, is a key toxicological endpoint with high occupational and consumer prevalence. This study optimized several <i>in vitro</i> assays listed in OECD skin sensitization test guidelines for use on a quantitative high-throughput screening (qHTS) platform and performed <i>in silico</i> model predictions to assess the skin sensitization potential of prioritized compounds from the Tox21 10K compound library. <b>Methods:</b> First, we screened the entire Tox21 10K compound library using a qHTS KeratinoSens<sup>TM</sup> (KS) assay and built a quantitative structure-activity relationship (QSAR) model based on the KS results. From the qHTS KS screening results, we prioritized 288 compounds to cover a wide range of structural chemotypes and tested them in the solid phase extraction-tandem mass spectrometry (SPE-MS/MS) direct peptide reactivity assay (DPRA), IL-8 homogeneous time-resolved fluorescence (HTRF) assay, CD86 and CD54 surface expression in THP1 cells, and predicted <i>in silico</i> sensitization potential using the OECD QSAR Toolbox (v4.5). <b>Results:</b> Interpreting tiered qHTS datasets using a defined approach showed the effectiveness and efficiency of <i>in vitro</i> methods. We selected structural chemotypes to present this diverse chemical collection and to explore previously unidentified structural contributions to sensitization potential. <b>Discussion:</b> Here, we provide a skin sensitization dataset of unprecedented size, along with associated tools, and analysis designed to support chemical assessments.</p>","PeriodicalId":73111,"journal":{"name":"Frontiers in toxicology","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10933113/pdf/","citationCount":"0","resultStr":"{\"title\":\"Use of <i>in vitro</i> methods combined with <i>in silico</i> analysis to identify potential skin sensitizers in the Tox21 10K compound library.\",\"authors\":\"Zhengxi Wei, Tuan Xu, Judy Strickland, Li Zhang, Yuhong Fang, Dingyin Tao, Anton Simeonov, Ruili Huang, Nicole C Kleinstreuer, Menghang Xia\",\"doi\":\"10.3389/ftox.2024.1321857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Introduction:</b> Skin sensitization, which leads to allergic contact dermatitis, is a key toxicological endpoint with high occupational and consumer prevalence. This study optimized several <i>in vitro</i> assays listed in OECD skin sensitization test guidelines for use on a quantitative high-throughput screening (qHTS) platform and performed <i>in silico</i> model predictions to assess the skin sensitization potential of prioritized compounds from the Tox21 10K compound library. <b>Methods:</b> First, we screened the entire Tox21 10K compound library using a qHTS KeratinoSens<sup>TM</sup> (KS) assay and built a quantitative structure-activity relationship (QSAR) model based on the KS results. From the qHTS KS screening results, we prioritized 288 compounds to cover a wide range of structural chemotypes and tested them in the solid phase extraction-tandem mass spectrometry (SPE-MS/MS) direct peptide reactivity assay (DPRA), IL-8 homogeneous time-resolved fluorescence (HTRF) assay, CD86 and CD54 surface expression in THP1 cells, and predicted <i>in silico</i> sensitization potential using the OECD QSAR Toolbox (v4.5). <b>Results:</b> Interpreting tiered qHTS datasets using a defined approach showed the effectiveness and efficiency of <i>in vitro</i> methods. We selected structural chemotypes to present this diverse chemical collection and to explore previously unidentified structural contributions to sensitization potential. <b>Discussion:</b> Here, we provide a skin sensitization dataset of unprecedented size, along with associated tools, and analysis designed to support chemical assessments.</p>\",\"PeriodicalId\":73111,\"journal\":{\"name\":\"Frontiers in toxicology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10933113/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/ftox.2024.1321857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in toxicology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/ftox.2024.1321857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
Use of in vitro methods combined with in silico analysis to identify potential skin sensitizers in the Tox21 10K compound library.
Introduction: Skin sensitization, which leads to allergic contact dermatitis, is a key toxicological endpoint with high occupational and consumer prevalence. This study optimized several in vitro assays listed in OECD skin sensitization test guidelines for use on a quantitative high-throughput screening (qHTS) platform and performed in silico model predictions to assess the skin sensitization potential of prioritized compounds from the Tox21 10K compound library. Methods: First, we screened the entire Tox21 10K compound library using a qHTS KeratinoSensTM (KS) assay and built a quantitative structure-activity relationship (QSAR) model based on the KS results. From the qHTS KS screening results, we prioritized 288 compounds to cover a wide range of structural chemotypes and tested them in the solid phase extraction-tandem mass spectrometry (SPE-MS/MS) direct peptide reactivity assay (DPRA), IL-8 homogeneous time-resolved fluorescence (HTRF) assay, CD86 and CD54 surface expression in THP1 cells, and predicted in silico sensitization potential using the OECD QSAR Toolbox (v4.5). Results: Interpreting tiered qHTS datasets using a defined approach showed the effectiveness and efficiency of in vitro methods. We selected structural chemotypes to present this diverse chemical collection and to explore previously unidentified structural contributions to sensitization potential. Discussion: Here, we provide a skin sensitization dataset of unprecedented size, along with associated tools, and analysis designed to support chemical assessments.