Maria T Baltazar, Sophie Cable, Richard Cubberley, Nicola J Hewitt, Jade Houghton, Predrag Kukic, Hequn Li, Sophie Malcomber, Beate Nicol, Ruth Pendlington, Ans Punt, Joe Reynolds, Sharon Scott, Sandrine Spriggs, Matthew P Dent
{"title":"使用新一代风险评估对防晒活性成分进行安全决策:二苯甲酮-4案例研究。","authors":"Maria T Baltazar, Sophie Cable, Richard Cubberley, Nicola J Hewitt, Jade Houghton, Predrag Kukic, Hequn Li, Sophie Malcomber, Beate Nicol, Ruth Pendlington, Ans Punt, Joe Reynolds, Sharon Scott, Sandrine Spriggs, Matthew P Dent","doi":"10.14573/altex.2501201","DOIUrl":null,"url":null,"abstract":"<p><p>A next generation risk assessment was carried out to evaluate the safety of benzophenone-4 (BP-4), a UV filter present at 5% in a body lotion, to compare a non-animal approach with a traditional safety assessment based on historical animal data. Exposure characterization indicated that BP-4 is poorly absorbed through the skin, poorly metabolized by the liver, a substrate of influx and efflux transporters, and excreted by the kidney. The resulting physiologically-based kinetic model predicted an upper bound (95th percentile) plasma Cmax of 1.27 μM, and liver and kidney concentrations of 0.32 μM and 0.44 μM, respectively. To characterize bioactivity, in silico and in vitro new approach methodologies were used. Points of departure (PoDs) were derived from four bioactivity platforms, including in vitro pharmacological profiling, CALUX assays, high-throughput transcriptomics, and a cell stress panel. By dividing the in vitro PoDs (PoDNAM) from these assays by the 95th percentile plasma Cmax value, bioactivity exposure ratios (BERs) were calculated. The lowest PoD was from a single gene expression change, and the highest PoD from phenotypic biomarkers using a primary renal cell model. Most BERs were above 11, except for those from gene-level PoDNAM in HepG2 and MCF-7 cells, which were 3.3 and 4.3. These lowest PoDNAM values are linked to gene transcription changes and are likely indicative of adaptive biological activity rather than adverse health effects. This work demonstrates the usefulness of next generation risk assessment in addressing pressing relevant regulatory questions without using animals.</p>","PeriodicalId":520550,"journal":{"name":"ALTEX","volume":" ","pages":"511-530"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Making safety decisions for a sunscreen active ingredient using next-generation risk assessment: Benzophenone-4 case study.\",\"authors\":\"Maria T Baltazar, Sophie Cable, Richard Cubberley, Nicola J Hewitt, Jade Houghton, Predrag Kukic, Hequn Li, Sophie Malcomber, Beate Nicol, Ruth Pendlington, Ans Punt, Joe Reynolds, Sharon Scott, Sandrine Spriggs, Matthew P Dent\",\"doi\":\"10.14573/altex.2501201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A next generation risk assessment was carried out to evaluate the safety of benzophenone-4 (BP-4), a UV filter present at 5% in a body lotion, to compare a non-animal approach with a traditional safety assessment based on historical animal data. Exposure characterization indicated that BP-4 is poorly absorbed through the skin, poorly metabolized by the liver, a substrate of influx and efflux transporters, and excreted by the kidney. The resulting physiologically-based kinetic model predicted an upper bound (95th percentile) plasma Cmax of 1.27 μM, and liver and kidney concentrations of 0.32 μM and 0.44 μM, respectively. To characterize bioactivity, in silico and in vitro new approach methodologies were used. Points of departure (PoDs) were derived from four bioactivity platforms, including in vitro pharmacological profiling, CALUX assays, high-throughput transcriptomics, and a cell stress panel. By dividing the in vitro PoDs (PoDNAM) from these assays by the 95th percentile plasma Cmax value, bioactivity exposure ratios (BERs) were calculated. The lowest PoD was from a single gene expression change, and the highest PoD from phenotypic biomarkers using a primary renal cell model. Most BERs were above 11, except for those from gene-level PoDNAM in HepG2 and MCF-7 cells, which were 3.3 and 4.3. These lowest PoDNAM values are linked to gene transcription changes and are likely indicative of adaptive biological activity rather than adverse health effects. This work demonstrates the usefulness of next generation risk assessment in addressing pressing relevant regulatory questions without using animals.</p>\",\"PeriodicalId\":520550,\"journal\":{\"name\":\"ALTEX\",\"volume\":\" \",\"pages\":\"511-530\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ALTEX\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14573/altex.2501201\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ALTEX","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14573/altex.2501201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/19 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Making safety decisions for a sunscreen active ingredient using next-generation risk assessment: Benzophenone-4 case study.
A next generation risk assessment was carried out to evaluate the safety of benzophenone-4 (BP-4), a UV filter present at 5% in a body lotion, to compare a non-animal approach with a traditional safety assessment based on historical animal data. Exposure characterization indicated that BP-4 is poorly absorbed through the skin, poorly metabolized by the liver, a substrate of influx and efflux transporters, and excreted by the kidney. The resulting physiologically-based kinetic model predicted an upper bound (95th percentile) plasma Cmax of 1.27 μM, and liver and kidney concentrations of 0.32 μM and 0.44 μM, respectively. To characterize bioactivity, in silico and in vitro new approach methodologies were used. Points of departure (PoDs) were derived from four bioactivity platforms, including in vitro pharmacological profiling, CALUX assays, high-throughput transcriptomics, and a cell stress panel. By dividing the in vitro PoDs (PoDNAM) from these assays by the 95th percentile plasma Cmax value, bioactivity exposure ratios (BERs) were calculated. The lowest PoD was from a single gene expression change, and the highest PoD from phenotypic biomarkers using a primary renal cell model. Most BERs were above 11, except for those from gene-level PoDNAM in HepG2 and MCF-7 cells, which were 3.3 and 4.3. These lowest PoDNAM values are linked to gene transcription changes and are likely indicative of adaptive biological activity rather than adverse health effects. This work demonstrates the usefulness of next generation risk assessment in addressing pressing relevant regulatory questions without using animals.