Lara Clemens, Christina Battista, Zackary R Kenz, Lisl K M Shoda
{"title":"探索已知或假设的T细胞介导的药物引起的肝损伤的机制模型:目前的能力和未来预测的挑战。","authors":"Lara Clemens, Christina Battista, Zackary R Kenz, Lisl K M Shoda","doi":"10.1080/17425255.2025.2499551","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Drug-induced liver injury (DILI) is an adverse event whose emergence can slow or halt drug development programs. Adaptive immune responses have been implicated for several DILI compounds, and drug-specific T cell responses have been characterized, but there are still many unknowns. We describe the extension of a quantitative systems toxicology (QST) model of DILI to include CD8<sup>+</sup> T cell-mediated DILI.</p><p><strong>Research design and methods: </strong>To overcome deficits in quantitative data characterizing CD8<sup>+</sup> T cell-mediated DILI, a translational strategy leveraged a well-defined mouse ovalbumin (OVA) antigen model and adapted it to represent mouse amodiaquine (AQ)-specific CD8<sup>+</sup> T cell-mediated DILI, with further adaptations to represent human AQ-specific CD8<sup>+</sup> T cell-mediated DILI.</p><p><strong>Results: </strong>DILIsym reproduced published data characterizing mouse OVA-specific CD8<sup>+</sup> T cell-mediated hepatotoxicity, mouse AQ-specific CD8<sup>+</sup> T cell-mediated DILI, and human AQ-specific CD8<sup>+</sup> T cell-mediated DILI. Development identified main drivers of the CD8<sup>+</sup> T cell response, as well as areas where <i>in vitro</i> assay data could inform the simulation of additional compounds.</p><p><strong>Conclusions: </strong>The DILIsym CD8<sup>+</sup> T cell sub-model is well-positioned for systematic testing to improve our understanding of CD8<sup>+</sup> T cell-mediated DILI. It is not yet predictive but indicates a promising direction to reduce DILI events in drug development.</p>","PeriodicalId":94005,"journal":{"name":"Expert opinion on drug metabolism & toxicology","volume":" ","pages":"717-727"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A well-characterized mechanistic model for exploring known or hypothesized T cell mediated drug induced liver injury: current capabilities and challenges for future predictivity.\",\"authors\":\"Lara Clemens, Christina Battista, Zackary R Kenz, Lisl K M Shoda\",\"doi\":\"10.1080/17425255.2025.2499551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Drug-induced liver injury (DILI) is an adverse event whose emergence can slow or halt drug development programs. Adaptive immune responses have been implicated for several DILI compounds, and drug-specific T cell responses have been characterized, but there are still many unknowns. We describe the extension of a quantitative systems toxicology (QST) model of DILI to include CD8<sup>+</sup> T cell-mediated DILI.</p><p><strong>Research design and methods: </strong>To overcome deficits in quantitative data characterizing CD8<sup>+</sup> T cell-mediated DILI, a translational strategy leveraged a well-defined mouse ovalbumin (OVA) antigen model and adapted it to represent mouse amodiaquine (AQ)-specific CD8<sup>+</sup> T cell-mediated DILI, with further adaptations to represent human AQ-specific CD8<sup>+</sup> T cell-mediated DILI.</p><p><strong>Results: </strong>DILIsym reproduced published data characterizing mouse OVA-specific CD8<sup>+</sup> T cell-mediated hepatotoxicity, mouse AQ-specific CD8<sup>+</sup> T cell-mediated DILI, and human AQ-specific CD8<sup>+</sup> T cell-mediated DILI. Development identified main drivers of the CD8<sup>+</sup> T cell response, as well as areas where <i>in vitro</i> assay data could inform the simulation of additional compounds.</p><p><strong>Conclusions: </strong>The DILIsym CD8<sup>+</sup> T cell sub-model is well-positioned for systematic testing to improve our understanding of CD8<sup>+</sup> T cell-mediated DILI. It is not yet predictive but indicates a promising direction to reduce DILI events in drug development.</p>\",\"PeriodicalId\":94005,\"journal\":{\"name\":\"Expert opinion on drug metabolism & toxicology\",\"volume\":\" \",\"pages\":\"717-727\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert opinion on drug metabolism & toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17425255.2025.2499551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert opinion on drug metabolism & toxicology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17425255.2025.2499551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/6 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
A well-characterized mechanistic model for exploring known or hypothesized T cell mediated drug induced liver injury: current capabilities and challenges for future predictivity.
Background: Drug-induced liver injury (DILI) is an adverse event whose emergence can slow or halt drug development programs. Adaptive immune responses have been implicated for several DILI compounds, and drug-specific T cell responses have been characterized, but there are still many unknowns. We describe the extension of a quantitative systems toxicology (QST) model of DILI to include CD8+ T cell-mediated DILI.
Research design and methods: To overcome deficits in quantitative data characterizing CD8+ T cell-mediated DILI, a translational strategy leveraged a well-defined mouse ovalbumin (OVA) antigen model and adapted it to represent mouse amodiaquine (AQ)-specific CD8+ T cell-mediated DILI, with further adaptations to represent human AQ-specific CD8+ T cell-mediated DILI.
Results: DILIsym reproduced published data characterizing mouse OVA-specific CD8+ T cell-mediated hepatotoxicity, mouse AQ-specific CD8+ T cell-mediated DILI, and human AQ-specific CD8+ T cell-mediated DILI. Development identified main drivers of the CD8+ T cell response, as well as areas where in vitro assay data could inform the simulation of additional compounds.
Conclusions: The DILIsym CD8+ T cell sub-model is well-positioned for systematic testing to improve our understanding of CD8+ T cell-mediated DILI. It is not yet predictive but indicates a promising direction to reduce DILI events in drug development.