{"title":"DILIsym:影响药物开发的定量系统毒理学","authors":"Paul B. Watkins","doi":"10.1016/j.cotox.2020.06.003","DOIUrl":null,"url":null,"abstract":"<div><p><span>DILIsym®, a quantitative systems toxicology<span> model developed over the last decade by the drug-induced liver injury (DILI)-sim Initiative, has provided novel insights regarding mechanisms underlying drug-induced liver injury and why animal models sometimes fail to accurately assess the liver safety liability of new drug candidates. For example, DILIsym, but not routine preclinical testing, predicted the human hepatotoxicity of the migraine drugs </span></span>telcagepant<span><span> and MK3207 that terminated their clinical development. DILIsym also predicted that the next in-class drug, ubrogepant, would be relatively safe for the liver; this prediction was prospectively confirmed in phase-3 </span>clinical trials<span> leading to FDA approval without liver safety warnings. DILIsym also identifies mechanisms underlying liver toxicity, and this information can identify patient-specific risk factors for drug-induced liver injury including drug–drug interactions and certain disease states, improving risk management and pharmacovigilance. DILIsym provides an example of how increased application of quantitative systems toxicology modeling should lead to more efficient development of new drugs.</span></span></p></div>","PeriodicalId":37736,"journal":{"name":"Current Opinion in Toxicology","volume":"23 ","pages":"Pages 67-73"},"PeriodicalIF":3.6000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.cotox.2020.06.003","citationCount":"9","resultStr":"{\"title\":\"DILIsym: Quantitative systems toxicology impacting drug development\",\"authors\":\"Paul B. Watkins\",\"doi\":\"10.1016/j.cotox.2020.06.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>DILIsym®, a quantitative systems toxicology<span> model developed over the last decade by the drug-induced liver injury (DILI)-sim Initiative, has provided novel insights regarding mechanisms underlying drug-induced liver injury and why animal models sometimes fail to accurately assess the liver safety liability of new drug candidates. For example, DILIsym, but not routine preclinical testing, predicted the human hepatotoxicity of the migraine drugs </span></span>telcagepant<span><span> and MK3207 that terminated their clinical development. DILIsym also predicted that the next in-class drug, ubrogepant, would be relatively safe for the liver; this prediction was prospectively confirmed in phase-3 </span>clinical trials<span> leading to FDA approval without liver safety warnings. DILIsym also identifies mechanisms underlying liver toxicity, and this information can identify patient-specific risk factors for drug-induced liver injury including drug–drug interactions and certain disease states, improving risk management and pharmacovigilance. DILIsym provides an example of how increased application of quantitative systems toxicology modeling should lead to more efficient development of new drugs.</span></span></p></div>\",\"PeriodicalId\":37736,\"journal\":{\"name\":\"Current Opinion in Toxicology\",\"volume\":\"23 \",\"pages\":\"Pages 67-73\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.cotox.2020.06.003\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468202020300437\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/6/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468202020300437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/6/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"TOXICOLOGY","Score":null,"Total":0}
DILIsym: Quantitative systems toxicology impacting drug development
DILIsym®, a quantitative systems toxicology model developed over the last decade by the drug-induced liver injury (DILI)-sim Initiative, has provided novel insights regarding mechanisms underlying drug-induced liver injury and why animal models sometimes fail to accurately assess the liver safety liability of new drug candidates. For example, DILIsym, but not routine preclinical testing, predicted the human hepatotoxicity of the migraine drugs telcagepant and MK3207 that terminated their clinical development. DILIsym also predicted that the next in-class drug, ubrogepant, would be relatively safe for the liver; this prediction was prospectively confirmed in phase-3 clinical trials leading to FDA approval without liver safety warnings. DILIsym also identifies mechanisms underlying liver toxicity, and this information can identify patient-specific risk factors for drug-induced liver injury including drug–drug interactions and certain disease states, improving risk management and pharmacovigilance. DILIsym provides an example of how increased application of quantitative systems toxicology modeling should lead to more efficient development of new drugs.
期刊介绍:
The aims and scope of Current Opinion in Toxicology is to systematically provide the reader with timely and provocative views and opinions of the highest qualified and recognized experts on current advances in selected topics within the field of toxicology. The goal is that Current Opinion in Toxicology will be an invaluable source of information and perspective for researchers, teachers, managers and administrators, policy makers and students. Division of the subject into sections: For this purpose, the scope of Toxicology is divided into six selected high impact themed sections, each of which is reviewed once a year: Mechanistic Toxicology, Metabolic Toxicology, Risk assessment in Toxicology, Genomic Toxicology, Systems Toxicology, Translational Toxicology.